Monitoring Engineer Jobs in Bengaluru

Security Operations Engineer FalconX Location: Bangalore Experience: 3+ Years Education: Bachelor s degree in Cybersecurity, Computer Science, Information Technology, or related field About FalconX FalconX is a pioneering team of operators, investors, and builders transforming institutional access to the crypto markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX simplifies the complex and fragmented digital asset ecosystem. Our platform empowers clients to navigate the crypto landscape seamlessly, providing access, liquidity, and tools to execute institutional strategies from start to scale. Role Overview We are looking for a Security Operations Engineer to strengthen our cybersecurity posture and protect our systems, data, and clients. In this role, you will monitor, detect, and respond to threats across on-premise and cloud environments, conduct investigations, perform threat hunting, and automate security operations. Key Responsibilities Monitor, detect, and respond to security incidents across cloud and on-premise environments. Analyze security alerts from various tools to identify potential threats and anomalies. Conduct forensic investigations and deep-dive analysis to identify trends and attack techniques. Perform proactive threat hunting across endpoints, networks, and cloud environments. Analyze security logs and behavioral patterns to detect Indicators of Compromise (IOCs). Investigate security incidents and provide actionable mitigation and remediation recommendations. Develop and refine threat hunting methodologies using frameworks like MITRE ATT&CK. Automate threat detection and response processes using scripting languages such as Python, PowerShell, or Bash. Continuously monitor emerging threats, vulnerabilities, and attack trends to improve strategies. Required Qualifications Bachelor s degree in Cybersecurity, Computer Science, Information Technology, or related field. 3+ years of experience in Security Operations, Threat Hunting, or a similar cybersecurity role. Hands-on experience working with log data for detection and response (Cloud, EDR, Network, etc.). Experience developing and deploying detection rules (Yara, Sigma, SQL-based rules, etc.). Strong understanding of network security monitoring, packet analysis, and log correlation. Deep knowledge of advanced threat detection methodologies and threat intelligence. Proficiency in analyzing attacker TTPs using frameworks like MITRE ATT&CK. Skilled in scripting and automation for security operations (Python, PowerShell, Bash). Familiarity with endpoint security, identity management, cloud security, and incident response. Protect critical systems, data, and client assets from emerging cyber threats. Play a key role in detecting, investigating, and responding to security incidents. Collaborate with cross-functional teams to strengthen security posture and operational resilience. Drive proactive threat hunting and automation to improve efficiency and effectiveness. Qualification : Bachelors degree in Cybersecurity, Computer Science, Information Technology, or related field

Senior Backend Engineer Market Making Location: Bangalore Experience: Senior-level Education: Advanced degree in Computer Science, Mathematics, or a related field About FalconX FalconX is a pioneering team of operators, investors, and builders transforming institutional access to the crypto markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX simplifies the fragmented digital asset market. Our platform provides seamless access, liquidity, and trading tools for institutional clients, enabling strategies from start to scale. Team Overview The Quant Team at FalconX is divided into three verticals: Services: Focused on complex pricing, risk management methodologies, and execution for our OTC desks. Options Market Making (MM): Provides market-making for derivatives, either as a service or as business owners. D1 Team: Quantitative traders providing market-making services while managing discretionary risk for linear products. Role Overview As a Senior Backend Engineer on the Market Making team, you will develop and enhance backend systems that provide critical tools, insights, and infrastructure for pricing, risk management, and trading operations. You will work closely with traders, quants, product managers, and trade operations teams to deliver robust, scalable, and high-performance applications. Key Responsibilities Build and maintain backend infrastructure to support pricing and risk management methodologies for complex and new products. Develop fundamental models in support of the quant team s three verticals. Collaborate with cross-functional teams including design, product management, traders, and quants to deliver scalable and efficient solutions. Solve technically challenging problems of high scope and complexity. Contribute to innovative products in the crypto derivatives space, such as correlation exotics and missing data volatility pricing. Ensure high-quality, maintainable code with strong testing, monitoring, and documentation practices. Required Qualifications Advanced degree in Computer Science, Mathematics, or related field. Proficiency in Python, with experience in a low-level language (C/C++/Rust) preferred. Familiarity with distributed systems and scalable architectures. Understanding of derivative products and risk management frameworks. Strong grasp of data structures, algorithms, and design patterns. Excellent problem-solving skills, with a detail-oriented and collaborative mindset. Strong communication skills and ability to work in a fast-moving, agile environment. Comfortable contributing to early-stage product development in a startup setting. Bonus / Preferred Qualifications Experience with exotic products and derivatives. Risk management and portfolio management experience. Knowledge of numerical methods, optimization, and modeling techniques. Familiarity with frontend frameworks such as React. Help make crypto assets a successful asset class for institutional investors. Provide critical tools and infrastructure that shape trading strategies and pricing models. Collaborate with top talent in trading, quant research, and technology. Work on some of the most innovative products in the crypto derivatives space. Qualification : Advanced degree in Computer Science, Mathematics, or a related field

Engineering Manager Location: Bengaluru Hiring is still shaped by outdated processes manual screening, unconscious bias, and delayed feedback. Talview is transforming this with AI that actually works. We build GenAI-powered hiring and assessment platforms that make recruitment faster, fairer, and scalable. Our AI Products Alvy: The world s first AI Proctoring Agent for intelligent global exam monitoring. Ivy: A conversational AI Interviewer delivering unbiased first-round assessments. Impact: 10M+ assessments delivered across 120+ countries. The Role We re looking for an Engineering Manager to lead high-performing teams, drive architectural excellence, and deliver scalable products globally. You ll guide engineers across backend, frontend, QA, and DevOps, while partnering closely with Product and Design to drive meaningful outcomes. What You ll Do Leadership: Lead, mentor, and grow cross-functional engineering teams. Architecture: Own architecture and system design for cloud-native, distributed systems. Excellence: Champion code reviews, testing, automation, and security practices. Operations: Strengthen engineering processes including CI/CD, observability, and monitoring. Delivery: Own delivery outcomes, sprint planning, and team performance. People: Conduct 1:1s, performance reviews, and career development planning. You Might Be a Fit If You Have Required Qualifications: 6+ years of overall engineering experience; 5+ years in backend (Node.js, Go, or Python). 2+ years with Docker, Kubernetes, and public cloud platforms (AWS, GCP, or Azure). 2+ years in Agile delivery environments (Scrum, Squads, or Chapters). 1+ year experience managing a team of 4+ engineers. Deep understanding of cloud monitoring, deployments, and cost optimization. Bonus Points For: Building SaaS or high-scale distributed systems. Experience with AI-assisted coding tools (Cursor, Windsurf, Codex, etc.). Strong system design and architectural fundamentals. Our Culture: The 5Cs We are guided by Collaboration, Commitment, Credence (trust), Customer-centricity, and Candor. We work together, ship quality, and communicate openly. What You Get Competitive compensation and best-in-class hardware. 5-day work week with flexibility. Monthly team lunches and annual offsites. Accelerated growth in a fast-scaling product organization.

Associate Staff Frontend Engineer Location: Bengaluru Hiring is still constrained by outdated processes manual screening, unconscious bias, and heavy administrative work. Talview is changing that with AI that actually works. We build GenAI-powered hiring and assessment platforms that make recruitment faster, fairer, and scalable. Our AI Products Alvy: The world s first AI Proctoring Agent for intelligent global exam monitoring. Ivy: A conversational AI Interviewer delivering unbiased first-round assessments. Impact: 10M+ assessments delivered across 120+ countries. The Role We re looking for an Associate Staff Frontend Engineer who combines deep technical expertise with frontend leadership. You ll shape frontend architecture, raise engineering standards, and drive long-term technical strategy. This role is ideal for Senior ICs who enjoy ownership and influence without stepping into people management. What You ll Do Architecture & Strategy: Own frontend architecture and influence long-term technical direction. Design Systems: Evolve UI foundations, accessibility standards, and shared component libraries. Technical Leadership: Review critical PRs, unblock teams, and mentor engineers across multiple squads. Optimization: Solve challenges in performance, state management, and cross-service integrations. Collaboration: Partner with Product, Design, and Backend teams to deliver end-to-end solutions. Excellence: Drive standards across testing, observability, and CI/CD pipelines. You Might Be a Fit If You Have Required Qualifications: 5+ years of professional experience building modern frontend applications. Deep expertise in JavaScript/TypeScript and frameworks such as React. Strong understanding of web performance, security, and accessibility. Experience delivering complex features within large, shared codebases. Proven track record of mentoring engineers and improving frontend practices. Bonus Points For: Experience with micro-frontend architectures or design systems. Hands-on experience with AI-assisted coding tools (Cursor, Windsurf, Codex, etc.). Prior Staff-level responsibilities or cross-team technical ownership. Our Culture: The 5Cs We are guided by Collaboration, Commitment, Credence (trust), Customer-centricity, and Candor. We work together, ship quality, and stay obsessed with users. What You Get Competitive compensation and best-in-class hardware/software. Flexibility: 5-day work week with flexible hours. Engagement: Monthly team lunches, annual offsites, and a sense of belonging. Career Growth: Accelerated path toward Staff / Principal Engineer roles.

Senior Software Engineer (Frontend) Location: Bengaluru Hiring is still trapped in the past: manual screening, unconscious bias, and administrative overload. Talview is changing that with AI that actually works. We build GenAI-powered hiring and assessment platforms that make recruitment faster, fairer, and scalable. Our AI Products Alvy: The world s first AI Proctoring Agent for intelligent, scalable exam monitoring. Ivy: A conversational AI Interviewer enabling unbiased first-round assessments. Impact: 10M+ assessments delivered across 120+ countries for global enterprises. The Role We re seeking a Senior Frontend Engineer passionate about building fast, intuitive, and elegant user experiences. You will lead frontend initiatives, architect high-performance UI systems, and elevate engineering standards across the organization. This is ideal for engineers who thrive on technical leadership and solving complex UX challenges. What You ll Actually Do Lead & Mentor: Guide engineers, drive execution, and ensure top-tier UI quality. Architect Interfaces: Build scalable, high-performance, and accessible applications. Collaborate Deeply: Partner with Product, Design, and Backend teams to shape workflows. Performance & Accessibility: Optimize rendering and responsiveness while enforcing WCAG and ARIA guidelines. Engineering Standards: Maintain code quality through reviews, best practices, and improved CI/CD pipelines. You Might Be a Fit If... Required Qualifications: 4 6 years building modern frontend applications. Expert-level HTML, CSS, and JavaScript knowledge. Strong experience with React, React Hooks, Jest, and React Testing Library. Deep understanding of accessibility standards (WCAG, ARIA). Experience with Git, CI/CD pipelines, and modern build tools. Proven ability in mentoring or leading other engineers. Bonus Points For: Experience with Frontend performance optimization. Knowledge of Micro-frontend architecture or Design Systems. Hands-on experience with AI-assisted coding tools (Cursor, Windsurf, Codex, etc.). Our Culture: The 5Cs We live by Collaboration, Commitment, Credence (trust), Customer-centricity, and Candor. We work together, ship quality, and keep it real. What You Get Competitive compensation and the best hardware/software tools. Work-Life Balance: 5-day work week with flexibility. Perks: Fully stocked pantry, monthly team lunches, and annual offsites. Growth: Strong career acceleration in a fast-growing product company.

ERP Engineer Location: Bengaluru Department: Hardware Employment Type: Full-Time About Dozee Dozee Health AI is a pioneer in AI-powered, contactless Remote Patient Monitoring (RPM) and Early Warning Systems (EWS), driving transformation in healthcare at scale. Headquartered in Bengaluru, Dozee has quickly emerged as India s #1 RPM company. Trusted by leading healthcare providers across India, the USA, and Africa, Dozee s innovative solutions enhance patient safety, improve outcomes, and reduce costs. We aim to Save a Million Lives with Health AI. Role Overview We are looking for an ERP Engineer to manage and optimize Microsoft Dynamics ERP modules, ensuring seamless performance and data integrity across our systems. You will work alongside technical and business teams to implement customizations and integrations that enhance our operational efficiency and scalability. Key Responsibilities ERP Management & Customization Manage and maintain Microsoft Dynamics ERP modules to ensure system stability and optimal performance. Develop and deploy customizations, workflows, and process automations that align with business needs. Integrate ERP with internal systems (CRM, HRMS, Finance) and third-party applications using APIs and data connectors. Collaboration & Implementation Collaborate with cross-functional teams to analyze business requirements and design ERP solutions. Conduct testing, document new features, and support system enhancements. Provide troubleshooting and technical support to ensure minimal system downtime. Training & Optimization Lead end-user training and create user manuals for smooth ERP adoption. Monitor system performance, suggest improvements, and optimize ERP configurations. Work with stakeholders to enhance ERP processes in finance, procurement, inventory, and production. Requirements Experience & Qualifications 3 5 years of hands-on experience with ERP management, customization, and integration. Specific experience with Microsoft Dynamics 365 Business Central / Dynamics NAV is preferred. Bachelor s or Master s degree in a relevant field. Skills Strong understanding of ERP architecture, data structures, and business workflows. Experience with integration tools and middleware such as Azure Integration Services or Power Automate. Familiarity with project management tools like JIRA, Confluence, or Asana. Personal Attributes Strong analytical and problem-solving abilities with high attention to detail. Excellent communication skills and the ability to collaborate with multiple stakeholders. Why Join Dozee Be part of a mission-driven company transforming healthcare with AI. Work with top healthcare providers and cutting-edge technology. Opportunity to drive impactful change in a high-growth, fast-paced environment. Qualification : Bachelors or Masters degree in a relevant field

Mobile App and Observability SDK Engineer Experience: 3 6 Years Location: Bengaluru About VuNet VuNet is a pioneer in Business Journey Observability, revolutionizing the financial services industry with Big Data and Machine Learning. Our cutting-edge platform offers end-to-end visibility into customer journeys, driving proactive issue resolution, operational resilience, and superior user satisfaction. With over 28 billion digital transactions monitored monthly touching 400 million users worldwide we re already powering leading banks and financial institutions across India and MEA. VuNet is Series B funded, part of NASSCOM DeepTech Club, and recognized globally by analysts like Gartner and Omdia. Your Role: Mobile App and Observability SDK Engineer At VuNet, the Product Development Team is dedicated to delivering exceptional customer experiences through scalable products. We are looking for a Mobile App and Observability SDK Engineer to join this team. In this role, you ll be at the forefront of building high-quality mobile applications and advancing our Mobile Real User Monitoring (MRUM) initiatives. You ll capture and translate mobile performance data into actionable insights, helping improve the performance and user experience of mobile apps across various platforms. If you re passionate about mobile engineering, user experience, and observability this role offers a unique opportunity to merge these interests into a groundbreaking solution. Roles & Responsibilities Mobile Application Development: Design, develop, and maintain robust, high-performance mobile applications for iOS and Android using Swift, Kotlin, Flutter, or React Native. Testing & Quality Assurance: Implement unit, integration, and UI testing strategies to ensure the app s quality, stability, and regression coverage. Debugging & Profiling: Identify and resolve performance bottlenecks, ANRs, crashes, and memory leaks using tools like Android Studio Profiler, Xcode Instruments, or Flipper. Crash Analysis & Reporting: Integrate crash analytics tools and develop efficient incident tracking and resolution workflows. Performance Monitoring & Insights: Leverage telemetry, profiling, and analytics data to enhance app performance, responsiveness, and overall user experience. Observability Collaboration: Work with SRE and backend teams to export performance metrics, logs, and traces from mobile clients into centralized observability platforms. Code Quality: Write clean, modular, and well-documented code, adhering to best practices in mobile development and SDK maintenance. What You Bring Mandatory Skills: Mobile App Development: 3+ years of hands-on experience in mobile app development using Flutter, React Native, Swift, or Kotlin (experience in at least two of these). App Lifecycle & Performance: Strong understanding of mobile app lifecycle, UI rendering, asynchronous processing, state management, and performance optimization (ANRs, memory management, network latency). Debugging & Profiling Tools: Proficiency in debugging, profiling, and testing mobile applications using tools like Android Studio Profiler, Xcode Instruments, or Flipper. Crash Analytics: Experience integrating and using crash analytics and reporting tools. CI/CD & SDK Versioning: Familiarity with CI/CD pipelines, automated testing, and SDK versioning. Performance Instrumentation: Interest in observability, monitoring, and performance instrumentation with a willingness to learn OpenTelemetry and RUM concepts. Problem-Solving Mindset: Strong analytical and debugging skills, focused on enhancing performance and reliability. Nice-to-Have Skills: OpenTelemetry & SDKs: Exposure to OpenTelemetry SDKs or other instrumentation frameworks for capturing telemetry data (e.g., traces, metrics, logs). Mobile Observability: Familiarity with mobile observability backends. Session Replay & Mobile Analytics: Knowledge of session replay, user behavior tracking, or mobile analytics SDKs. SRE & Monitoring Practices: Understanding of SRE principles, monitoring best practices, and golden signals. Open Source Contributions: Contributions to open-source SDKs or mobile performance tools. Life at VuNet: At VuNet, we re building a world-class observability platform proudly Made in India. We re just getting started, and we re looking for people like you to join us in tackling some of the most complex challenges in the digital world. Our team is filled with passionate problem-solvers who thrive in a collaborative, fast-paced environment. We embrace continuous learning, adapt quickly, and stay ahead of emerging technologies like Gen AI. If you re looking to work on cutting-edge technology, make a real impact, and grow with a supportive team, you ll feel right at home here at VuNet. Benefits: Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness and 1:1 counseling support. A learning culture that promotes growth, innovation, and ownership. A transparent, inclusive, and high-trust workplace culture. Access to Gen AI and integrated technology workspaces. Supportive career development programs to expand your skills with various training opportunities.

Solution Engineer Experience: 3 5 Years Location: Mumbai About VuNet VuNet is a trailblazer in Business Journey Observability, leveraging Big Data and Machine Learning to transform digital experiences in the financial services sector. Our platform provides end-to-end visibility into customer journeys, driving proactive issue resolution, operational resilience, and enhanced user satisfaction. With over 28 billion digital transactions monitored monthly, we re already empowering leading banks and financial institutions to improve their digital operations, touching over 300 million users globally. VuNet is Series B funded, part of NASSCOM DeepTech Club, and recognized in Forbes DGEMS 200 and by global analysts such as Gartner and Omdia. Your Role: Solution Engineer We are looking for a Solution Engineer who will serve as a trusted advisor for our customers, understanding their business needs and translating them into actionable solutions using our VuSmartMaps platform. You will collaborate closely with customers to optimize their business processes, IT landscape, and overall customer experience by leveraging advanced observability and analytics capabilities. As a Solution Engineer, you ll work across a diverse range of technologies, from applications and networks to databases and business domains. You ll be instrumental in ensuring that our solutions deliver measurable value, maximize ROI, and help customers gain deeper insights into their infrastructure and application performance. Roles & Responsibilities End-to-End Solution Design: Work across a broad range of infrastructure domains network, compute, storage, databases, applications, transactions, and business domains to design integrated observability solutions tailored to customer needs. Leverage Big Data & AI: Use the Big Data and AI-driven features of VuSmartMaps to provide insights into application performance, enhancing business outcomes and end-user experiences. Customer Collaboration: Engage with customer teams and stakeholders to understand their pain points, gather requirements, and design custom solutions and integrations. Solution Architecture & Validation: Develop detailed design documents for solutions and collaborate with internal engineering teams to validate and refine designs. Identify Critical Metrics: Analyze customer application architectures and transaction workflows to identify key touchpoints, critical metrics, and monitoring requirements. Business Insights & Recommendations: Use analytics to provide actionable insights and business recommendations, helping customers improve system performance and optimize workflows. Platform Implementation: Oversee the planning and execution of platform implementation at customer sites, ensuring smooth and successful deployment. Product Development Feedback: Work with the product team to develop new features, identify bugs, and address solution gaps based on customer feedback and your findings. Continuous Learning: Keep up to date with emerging technologies such as Big Data, NoSQL databases, Elastic Search, MongoDB, and DevOps practices, and apply these learnings to enhance our offerings. What You Bring Experience: At least 3+ years of experience in IT infrastructure, observability, or APM (Application Performance Monitoring). Infrastructure Expertise: Hands-on experience working with large-scale IT infrastructures, including applications, databases, networks, and transactions. Monitoring & Automation Tools: Experience with monitoring tools, automation platforms, and an understanding of observability principles. Scripting Skills: Proficiency in scripting (Python, Bash, or similar languages). Technology Familiarity: Knowledge or experience in technologies like Elastic Search, MongoDB, Big Data, SQL databases, ELK stack, REST APIs, JMX, and related observability tools. Good to Have Certification: CKA (Certified Kubernetes Administrator) certification is a plus. Life at VuNet: At VuNet, we re building a world-class observability platform proudly Made in India. As part of our team, you ll tackle some of the most exciting and complex challenges in the tech world, all while staying ahead of the curve with emerging technologies like Gen AI. Collaboration & Innovation: We re a team of passionate problem-solvers who thrive on collaboration, learning, and innovation. We embrace a high-trust, transparent workplace culture where you can take ownership, grow, and make a meaningful impact. Growth & Development: If you re excited to work with cutting-edge technology, drive real-world impact, and grow in your career, VuNet is the place for you. Benefits for You Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness and 1:1 counseling support. A learning culture that promotes growth, innovation, and ownership. Transparent and inclusive workplace culture that values high trust. Access to Gen AI and integrated technology workspaces. Career development programs to enhance your skills through continuous training and support.

Security Operations Engineer Location: Bangalore About Us FalconX is a pioneering team of operators, investors, and builders committed to transforming institutional access to the digital asset markets. By bridging traditional finance with cutting-edge technology, we address the industry's most complex challenges. We offer a comprehensive solution for all digital asset strategies from startup to scale enabling our clients to navigate the ever-evolving cryptocurrency landscape with confidence. We are seeking an experienced Security Operations Engineer to help secure FalconX s infrastructure and protect our clients digital assets. As a part of our security team, you will monitor, detect, and respond to cyber threats across both on-premise and cloud environments, ensuring the integrity and safety of our systems and data. Key Responsibilities Security Monitoring & Incident Response: Monitor and respond to security incidents across both on-premise and cloud environments, ensuring timely detection and remediation of potential threats. Threat Detection & Analysis: Analyze security alerts from various security tools to identify, investigate, and mitigate security risks. Conduct in-depth forensic investigations to identify trends, attack techniques, and vulnerabilities. Proactive Threat Hunting: Conduct proactive threat hunting across endpoints, networks, and cloud environments, looking for sophisticated and emerging threats that may not yet be detected by traditional security measures. Forensics & Incident Investigation: Investigate and analyze security incidents to identify the root cause. Provide actionable recommendations for improving security posture and preventing future incidents. Detection Engineering: Develop and refine threat detection methodologies and rules (e.g., Yara, Sigma, SQL-based rules, network protocols) to enhance security monitoring capabilities. Utilize frameworks like MITRE ATT&CK and the Cyber Kill Chain to guide threat hunting and analysis. Automation & Scripting: Leverage scripting languages (Python, PowerShell, or Bash) to automate threat detection, analysis, and response processes, improving overall efficiency and effectiveness. Threat Intelligence & Trend Analysis: Stay informed about emerging threats, vulnerabilities, and attack trends to continuously improve detection strategies and enhance the response to new security challenges. Qualifications Education & Experience Education: Bachelor's degree in Cybersecurity, Computer Science, Information Technology, or a related field (or equivalent experience). Experience: Minimum of 3 years in a security operations, threat hunting, or similar cybersecurity role. Security Expertise Strong experience working with security tools and log data (Cloud, EDR, Network, etc.) for detection and response. Deep understanding of network security, packet analysis, and log correlation. Proficiency in advanced threat detection methodologies and threat intelligence, with a strong grasp of attacker tactics, techniques, and procedures (TTPs), especially using frameworks like MITRE ATT&CK. Technical Skills Proficiency in scripting and automation (Python, PowerShell, Bash). Experience with detection engineering and developing custom detection rules (e.g., Yara, Sigma, SQL-based, Network). Familiarity with endpoint security, identity management, vulnerability management, cloud security, and incident response. Soft Skills Excellent analytical and problem-solving skills with a keen attention to detail. Strong communication skills, with the ability to work effectively in a collaborative, fast-paced environment. Be part of a rapidly growing company at the cutting edge of finance and technology. A dynamic, fast-paced work environment where your expertise will directly impact business success. Competitive salary and benefits package. Opportunities for professional growth in a highly innovative industry. Qualification : Bachelor's degree in Cybersecurity, Computer Science, Information Technology, or a related field (or equivalent experience)

Position: Senior Java Web Backend Engineer Job Type: Full-time Location: Bengaluru Department: Engineering About BlueOptima: At BlueOptima, our vision is to become the global reference for optimizing the performance of software engineers across all industries. We provide industry-leading objective metrics in software development, enabling large organizations to deliver better software, faster, and at a lower cost through technology that pushes the limits of what has been done before. As a fast-growing global company, we ve consistently doubled our headcount and revenue year over year, without external investment. Our headquarters is in London, with additional offices in Mexico, India, and the US. Our diverse team consists of 210+ employees from 34+ nationalities and speaks over 25 languages. We foster an open-minded environment and encourage employees to create their own success stories within this high-performance atmosphere. Job Description: We are looking for a Senior Java Web Backend Engineer with extensive experience in designing, building, and maintaining scalable SaaS applications using Java/J2EE technologies. The ideal candidate will be a tech enthusiast, committed to excellence, and eager to take on a leadership role as a mentor to a team of talented engineers. You ll be part of a self-managed Agile team, where you will actively contribute to improving development processes, bringing new ideas to the table, and proposing improvements in methodology, management, and organization. Key Responsibilities: Application Development & Maintenance: Design, develop, implement, test, and maintain application software components. Requirements Analysis: Analyze client requirements and convert them into technical specifications, ensuring alignment with project goals. Feature Ownership: Take ownership of development for new features and continuous improvements to the platform. Performance Optimization: Identify and resolve performance bottlenecks, ensuring high scalability and efficiency of the system. Architecture Improvement: Identify architectural inefficiencies, and create and execute a roadmap to address and resolve them. Leadership & Mentorship: Lead and mentor junior developers, fostering their technical growth and career development. Client Interaction: Provide technical support to client-facing teams and occasionally interact with clients to resolve issues related to your component. What You Need to Succeed at BlueOptima: Education: Minimum Bachelor's degree in Computer Science or equivalent. Self-Sufficiency: Ability to work autonomously with minimal supervision. Problem-Solving Skills: Strong analytical and problem-solving capabilities, coupled with a can-do attitude. Agile Methodologies: Experience with Agile methodologies (e.g., SCRUM, Sprints) and leading small Scrum teams. Commitment to Excellence: Focused on completing tasks efficiently and reliably while identifying the best approach to solving complex problems. Must-Have Technical Skills: Java Expertise: 5+ years of experience with Java, J2EE/Java EE, Spring, and Spring Boot. Architectural Knowledge: Solid understanding of Monolithic, SOA, and Microservices architectures. Concurrency & Thread-Safety: Strong knowledge of Java concurrency patterns and experience building thread-safe applications. Database Skills: Expertise in relational databases, partitioning, indexing techniques, and SQL (PostgreSQL). System Design: Experience creating high and low-level design documents based on application architecture. Linux Proficiency: Familiarity with Linux shell and command-line tools. Testing Skills: Strong grasp of unit testing and integration testing frameworks. Cloud Platform Experience: Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud (e.g., S3, EC2, Lambda). Message Queues & Streaming: Familiarity with message queues (e.g., Kafka, RabbitMQ, SQS) for high-performance, scalable systems. Monitoring & Logging: Experience with monitoring and logging tools (e.g., Prometheus, Grafana, Datadog, ELK Stack, Splunk). At BlueOptima, we believe in accelerating your career progression. You ll have the opportunity to strengthen your skills, take on diverse challenges, and quickly grow within the organization. We support your development every step of the way, with a clear path to leadership and technical expertise in a fast-paced, innovative environment. Qualification : Bachelor's degree in Computer Science or equivalent

Lead Fullstack Engineer Location: Bangalore Company: Capital One India About Capital One India At Capital One India, we thrive in a fast-paced, intellectually rigorous environment where we solve real-world business problems at scale. By combining advanced analytics, data science, and machine learning, we unlock powerful insights and build cutting-edge, patentable technology products that drive innovation and impact. Team Overview: Machine Learning Experiences (MLX) The MLX team is at the core of Capital One s AI/ML transformation. We re shaping the way the enterprise builds, deploys, and monitors ML models and features providing the tools and platforms that enable every business line to deliver AI-powered experiences. From platform onboarding to observability, MLX sets the foundation for responsible, scalable machine learning across Capital One. Role Overview We are seeking a Lead Fullstack Engineer to architect and develop scalable, cloud-native applications that power our ML platforms. You ll be responsible for leading technical initiatives, mentoring team members, and driving the development of full-stack systems with a primary focus on Python and Go, and a working proficiency in React. This is a hands-on leadership role requiring deep cloud expertise (AWS), backend scalability know-how, and familiarity with ML observability concepts. What You ll Do Lead cross-functional teams on full-stack development projects that support machine learning platforms and observability tools. Design and develop robust applications using Python, Go, and React, adhering to scalable and maintainable coding principles. Architect cloud-native solutions on AWS, leveraging services such as Lambda, ECS, S3, DynamoDB, SQS, and IAM. Implement and optimize CI/CD pipelines, containerization with Docker/Kubernetes, and other DevOps best practices. Work closely with ML engineers and data scientists to enhance observability and monitoring for ML models in production. Utilize open-source frameworks to accelerate development and maintain system performance. Collaborate with product managers to deliver user-centric, cloud-based solutions that drive real customer impact. Conduct code reviews, mentor engineers, and maintain high technical standards across the team. Contribute to backend optimization, API development, and integration with real-time data systems. Required Qualifications 7 10 years of experience in software development, with a strong background in backend and full-stack systems. Expertise in Python and Go; strong ability to build scalable, maintainable systems. Proficiency in React for frontend development (medium level). Hands-on experience with AWS services such as Lambda, ECS, S3, DynamoDB, IAM, and SQS. Experience with ML observability frameworks and tools. Knowledge of open-source development frameworks and cloud architecture patterns. Proficiency in CI/CD, containerization (Docker, Kubernetes), and modern DevOps practices. Strong problem-solving abilities and a track record of leading technical initiatives in agile environments. Preferred Qualifications Experience monitoring ML models in production and integrating observability tools. Knowledge of event-driven architecture and microservices. Familiarity with GraphQL, WebSockets, and real-time data communication. Understanding of data streaming architectures and processing pipelines. Why Join Capital One Be part of a team building enterprise-scale platforms that power ML for millions of customers. Work on impactful, cloud-native solutions in a collaborative and high-growth environment. Collaborate with world-class engineers, data scientists, and product leaders. Enjoy a culture that values experimentation, learning, and technical excellence.

Lead Engineer Mobile Development Location: Bangalore Company: Mahindra First Choice About Mahindra First Choice Mahindra First Choice Wheels is India s leading used vehicle platform, revolutionizing the automotive ecosystem by organizing the fragmented pre-owned vehicle market. With the largest pan-India used car retail network, robust sourcing partnerships, a top-tier auto content platform, and a dominant position in enterprise solutions for banks, NBFCs, insurers, and OEMs, we are redefining the future of mobility through data, technology, and scale. Role Overview We are seeking a talented and experienced Lead Engineer Mobile Development to spearhead the design, development, and optimization of mobile applications across Android and iOS platforms. This role is ideal for a hands-on technical leader who thrives in a fast-paced environment, has deep expertise in Kotlin, Android, and iOS technologies, and can mentor teams while driving mobile projects from concept to deployment. Key Responsibilities 1. Technical Leadership & Architecture Lead the development of robust, scalable, and high-performing mobile applications for both Android and iOS platforms. Define and implement mobile architecture best practices, coding standards, and performance guidelines. Own the full mobile development lifecycle from architecture and design to deployment, monitoring, and maintenance. 2. Mobile Development & Hands-On Engineering Write clean, maintainable, and efficient code using Kotlin (including Kotlin Multiplatform), Android frameworks, and Swift/Objective-C for iOS. Build reusable libraries, components, and frameworks to streamline development. Implement modern UI/UX standards, animations, and seamless interactions for an exceptional user experience. Ensure apps are optimized for performance, battery usage, and responsiveness across devices. 3. Collaboration & Cross-Functional Coordination Work closely with Product Managers, UX/UI Designers, and Backend Engineers to translate product requirements into technical solutions. Integrate mobile applications with RESTful APIs and third-party SDKs. Coordinate with QA to ensure rigorous testing, debugging, and high-quality releases. 4. Innovation & Continuous Improvement Stay current with mobile development trends, tools, and best practices. Recommend and evaluate emerging technologies, frameworks, or tools to improve mobile development velocity and app performance. Continuously monitor and enhance the performance, stability, and usability of mobile applications. 5. Team Leadership & Mentorship Lead and mentor a team of mobile developers, fostering a culture of excellence, ownership, and learning. Conduct regular code reviews, provide technical guidance, and promote knowledge sharing. Manage development timelines, task allocation, and project delivery in collaboration with cross-functional teams. Qualifications & Skills Required Bachelor s or Master s degree in Computer Science, Engineering, or related discipline. 7+ years of hands-on experience in Android and iOS mobile application development. Deep expertise in Kotlin, Kotlin Multiplatform, and Android development (Android Studio, Jetpack components, Material Design). Proficiency in Swift and/or Objective-C for iOS development using Xcode and UIKit/SwiftUI. Solid experience integrating RESTful APIs, JSON, and third-party SDKs. Strong grasp of mobile architecture patterns such as MVVM, MVP, or Clean Architecture. Proven ability to publish and manage apps on Google Play Store and Apple App Store. Experience with performance profiling, memory optimization, and debugging tools. Preferred Experience with hybrid frameworks like Flutter or React Native. Familiarity with CI/CD pipelines, automation, and deployment tools. Working knowledge of Agile methodologies and tools like JIRA, Git, Jenkins, etc. Soft Skills Strong analytical and problem-solving skills with a keen attention to detail. Excellent communication and interpersonal skills to collaborate effectively across teams. Proven leadership capabilities and ability to mentor junior engineers in a high-growth environment. At Mahindra First Choice, you ll be part of a passionate, innovation-driven team that s transforming how India buys and sells used vehicles. This is a high-impact role with the opportunity to shape our mobile strategy and deliver apps used by thousands across the country. If you re looking to lead cutting-edge mobile projects and grow in a fast-paced tech-first environment, we d love to hear from you. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or related discipline

DevOps Engineer | FinBox Location: India (Specific location not mentioned) Experience: 5+ Years About FinBox: Where Fintech Meets Fun! Welcome to FinBox, the buzzing hive of tech innovation and creativity! Since our inception in 2017, FinBox has built some of the most advanced technologies in the financial services space that help lenders like Banks, NBFCs and large enterprises build and launch credit products within a matter of days, not months or years. FinBox is a Series A funded company which is expanding globally with offices in India, Vietnam, Indonesia and Philippines. Our vision is to build the best-in-class infrastructure for lending products and help Banks & Financial Services companies across the world scale and launch credit programs that set a new standard in the era of digital finance. So far, we ve helped our customers disburse Billions of Dollars in credit across unsecured and secured credit including personal loans, working capital loans, business loans, mortgage and education loans. FinBox solutions are already being used by over 100+ companies to deliver credit to over 5 million customers every month. Why Should You be a FinBoxer: Innovative Environment: At FinBox, we foster a culture of creativity and experimentation, encouraging our team to push the boundaries of what's possible in fintech. Impactful Work: Your contributions will directly impact the lives of millions, helping to provide fair and accessible credit to individuals and businesses alike. Growth Opportunities: We are a Series A funded startup and have ample opportunities for growth, professional development and career advancement. Collaborative Culture: Join a diverse and inclusive team of experts who are passionate about making a difference and supporting one another. Who s a Great FinBoxer: At FinBox, we re on the lookout for exceptional folks who are all about innovation and impact. If you re excited to shake things up in the banking & financial services world, keep reading! Creative Thinkers: If your brain is always bubbling with out-of-the-box ideas and wild solutions, you re our kind of person. We love disruptors who challenge the norm and bring fresh perspectives to the table. Customer Heroes: Our customers are our champions, and we need heroes who can understand their needs, deliver magical experiences, and go above and beyond to keep them happy. Team Players: We believe in the power of we. If you thrive in a collaborative environment, value different viewpoints, and enjoy being part of a spirited, supportive team, you ll fit right in. About the Job As a DevOps Engineer at FinBox, you will also impart your strong understanding of cloud computing and infrastructure-as-a-service tools. You will be given ownership for taking new initiatives to implement industry best practices in process improvements, implementing automation and orchestration, and ensuring that software applications are delivered quickly, reliably, and at scale. How You'll Contribute Build and set up new development tools and infrastructure which can be helpful in scaling the product Strong understanding of CI/CD to implement and maintain automated build, test, and deployment pipelines to ensure continuous delivery of high-quality software Design, build and maintain an automated secure & resilient cloud infrastructure Collaborate with other developers to ensure that development follows established processes & practices Implement and maintain a practice of monitoring and logging to ensure the availability, performance and security of the application Enhance the development and delivery process by implementing best practices and tools in the industry Troubleshoot and resolve issues related to software development, deployment, and infrastructure by identifying the root cause Provide Day 2 technical support with products and the deployments and document the phases involved throughout the process Train and guide other members on the best DevOps practices and tools Who You Are An exceptional 5+ years of experience in handling CI/CD and implementing the best development practices In-depth knowledge of scripting languages, preferred are Go/Python/Bash In-depth working knowledge in Kubernetes,Terraform, Docker, Jenkins, etc Strong knowledge of system design & algorithms Hands-on experience on the cloud provider, AWS Strong knowledge of automating existing systems, repetitive tasks and deployments Carrying a knack for promoting high-quality coding practices with clean and reusable code Fair understanding of monitoring frameworks such as Grafana, Prometheus, Datadog, etc

Overview With the Microsoft Cloud Security team, we take immense pride in developing a diverse set of security products and services that are leaders in their respective market segments. Our innovative solutions have set new industry standards, earning global recognition safeguarding critical infrastructure at the highest scale. Microsoft Defender for Cloud is a cloud-native application protection platform (CNAPP) designed to protect cloud-based applications running in all major cloud providers. Microsoft Defender for Cloud secures cloud applications from code-to-cloud by unifying development security operations ( DevSecOps ) at the code level, cloud security posture management (CSPM) to surface and prevent breaches and cloud workload protection platform (CWPP) to identify, alert and block real-time cyber-attacks worldwide. We re a diverse group of talented professionals consisting of software engineers, security researchers, program managers and data scientists collaborating to develop products that secure our customers, including the biggest companies in the world. We are looking for a Software Engineer II to join our team. You will work in a supportive and inclusive environment where you will learn and work alongside the best and brightest minds in the industry, and could make a significant impact, grow your skills and advance your career. If you're up to disrupt #CloudSecurity, come join us at the world s leading security company at Microsoft Defender for Cloud group! Qualifications Bachelor s degree in computer science or related technical field AND 1+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python Proven experience with designing developing and building services, supportability and monitoring Infrastructures Experience with large scale operations, using methodologies such as feedback/Metrics collection techniques to expose live site/service issues Strong analytical and problem solving and organizational skills Excellent written and oral communication skills Ability to deal with the ambiguity associated with working in a fast-paced and changing environment. Additional or Preferred Qualifications: 1 + years of Linux hands on system experiences 1 + years of Software Engineering and experience in testing, deploying and supporting large scale services on Azure/AWS/GCP environments. Mastering CI\CD concepts and hands on implementations experiences, specifically GIT Kubernetes, Prometheus, Cilium /ISTIO or any equivalent Responsibilities You will be part of an infrastructure software engineering team collaboratively designs, builds, and maintains tools that ensure seamless and efficient operations for the organizations which accelerate the developer experience. You will collaborate closely with multiple teams across Microsoft to deliver key customer solutions and the technology to support them. Engage in and improve end-to-end lifecycle of services from inception and design, through deployment, operation, and refinement. Analyze complex system behavior, performance, and application issues. Apply modern software engineering practices to streamline deployments, drive down costs and operational overhead while meeting critical reliability and availability KPIs. Work hand in hand with engineering teams to offer guidance and education on integration, testing, monitoring, and security across different technology stacks. We believe in enabling our team members to unlock their highest potential and invest a lot in building a collaborative and agile culture to achieve our business success. Join us and be part of our path to the next level of awesomeness!! Qualification : Bachelors degree in computer science or related technical field AND 1+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

As a Manager of the Spark Technical Solutions team, you will lead & manage a team of Technical solution engineers and be responsible for driving deep dive technical solutions for any issues reported by Databricks customers. We expect the manager to resolve challenges with comprehensive technical and customer communication skills. You will assist our customers in their Databricks journey and provide them with the guidance, knowledge, and expertise that they need to realise value and achieve their strategic objectives using our products. The impact you will have: As a manager and member of the leadership team, you will be directly responsible for the management of Technical solution engineers, team leads and operations personnel Responsible for directly monitoring, reporting, and driving improvements to team-level metrics and KPIs, acting as an escalation point with customers and internal teams, and optimising and developing support processes and tools Responsible for working across multiple cross functional teams that include Engineering, product management, sales and customer success; manage Hiring, mentoring and onboarding new support engineers Regularly meet one-on-one with your direct reports, conducting annual reviews and career development discussions throughout the year Be a hands on manager to assist the team members in resolving issues related to Spark core internals, Spark SQL, Structured Streaming, Delta, Lakehouse and other databricks runtime features Manage and drive best practices guidance around Spark runtime performance and usage of Spark core libraries and APIs for custom-built solutions developed by Databricks customers; contribute in the development of tools/automation initiatives Own Engineering JIRA tickets and proactively work to bring quicker resolutions to customer reported issues; participate in creation of knowledge base articles Participate in weekend and weekday on-call rotation and run escalations during databricks runtime outages, incident situations, ability to multitask and plan day 2 day activities and provide escalated level of support for critical customer operational issues, etc What we look for: Min 10-12 years of experience in designing, building, testing, and maintaining Python/Java/Scala/Spark based applications in a typical project delivery and consulting environments with 4+ years working as a Manager 5+ years of hands-on experience in developing and leading any two or more of the Big Data, Hadoop, Spark,Machine Learning, Artificial Intelligence, Streaming, Kafka, Data Science, ElasticSearch related industry use cases at the production scale. Spark experience is mandatory Hands on experience in the performance tuning/troubleshooting of Hive and Spark based applications at production scale. Real time experience in JVM and Memory Management techniques such as Garbage collections, Heap/Thread Dump Analysis is preferred Working and hands-on experience with Data lakes and any SQL-based databases, Data Warehousing/ETL technologies like Informatica, DataStage, Oracle, Teradata, SQL Server, MySQL is preferred Hands-on experience with AWS or Azure or GCP is preferred Experience in implementing CI/CD, Monitoring/alerting for Production Systems Technical lead in design, implementation and support of large scale data and analytics solutions that are highly reliable, flexible, and scalable Experience in leading and managing end-to-end projects and have reported and escalated to top levels Experience in managing and leading teams in an organisation involving multiple reporting lines Strong written and verbal communication skills; very good analytical, organisational, multi-tasking skills About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visithttps://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

As a Senior Manager of the Spark Technical Solutions team, you will lead & manage a team of Technical Solution Engineers (Spark) and be responsible for driving deep dive technical solutions for any issues reported by Databricks customers. We expect the manager to resolve challenges with comprehensive technical and customer communication skills. You will assist our customers in their Databricks journey and provide them with the guidance, knowledge, and expertise that they need to realise value and achieve their strategic objectives using our products. The impact you will have: As a manager and member of the leadership team, you will be directly responsible for the management of Technical solution engineers, team leads and operations personnel Responsible for directly monitoring, reporting, and driving improvements to team-level metrics and KPIs, acting as an escalation point with customers and internal teams, and optimising and developing support processes and tools Responsible for working across multiple cross functional teams that include Engineering, product management, sales and customer success; manage Hiring, mentoring and onboarding new support engineers Regularly meet one-on-one with your direct reports, conducting annual reviews and career development discussions throughout the year Be a hands on manager to assist the team members in resolving issues related to Spark core internals, Spark SQL, Structured Streaming, Delta, Lakehouse and other databricks runtime features Manage and drive best practices guidance around Spark runtime performance and usage of Spark core libraries and APIs for custom-built solutions developed by Databricks customers; contribute in the development of tools/automation initiatives Own Engineering JIRA tickets and proactively work to bring quicker resolutions to customer reported issues; participate in creation of knowledge base articles Participate in weekend and weekday on-call rotation and run escalations during databricks runtime outages, incident situations, ability to multitask and plan day 2 day activities and provide escalated level of support for critical customer operational issues, etc What we look for: Min 10-12 years of experience in designing, building, testing, and maintaining Python/Java/Scala/Spark based applications in a typical project delivery and consulting environments with 4+ years working as a Manager 5+ years of hands-on experience in developing and leading any two or more of the Big Data, Hadoop, Spark,Machine Learning, Artificial Intelligence, Streaming, Kafka, Data Science, ElasticSearch related industry use cases at the production scale. Big Data / Spark hands on-experience is mandatory Hands on experience in the performance tuning/troubleshooting of Hive and Spark based applications at production scale. Real time experience in JVM and Memory Management techniques such as Garbage collections, Heap/Thread Dump Analysis is preferred Working and hands-on experience with Data lakes and any SQL-based databases, Data Warehousing/ETL technologies like Informatica, DataStage, Oracle, Teradata, SQL Server, MySQL is preferred Hands-on experience with AWS or Azure or GCP is preferred Experience in implementing CI/CD, Monitoring/alerting for Production Systems Technical lead in design, implementation and support of large scale data and analytics solutions that are highly reliable, flexible, and scalable Experience in leading and managing end-to-end projects and have reported and escalated to top levels Experience in managing and leading teams in an organisation involving multiple reporting lines About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visithttps://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Job Overview: We are seeking a highly skilled Frontline Senior Technical Solutions Engineer with over 5 years of experience to join our Platform Support team. This role is pivotal in delivering exceptional support for our Databricks Data Intelligence platform, addressing complex technical challenges, and ensuring the seamless operation of our data solutions. As a frontline engineer, you will be the primary point of contact for critical issues, working closely with both internal teams and customers to resolve high-impact problems and drive platform improvements. Key Responsibilities: Frontline Support: Serve as the primary technical point of contact for escalated issues related to the Databricks Data Intelligence platform. Provide expert-level troubleshooting, diagnostics, and resolution for complex problems affecting system performance and reliability. Customer Interaction: Engage with customers directly to understand their technical issues and requirements. Provide timely, clear, and actionable solutions to ensure high levels of customer satisfaction. Incident Management: Lead the resolution of high-priority incidents, coordinating with various teams to address and mitigate issues swiftly. Conduct thorough root cause analyses and develop preventive measures to avoid recurrence. Collaboration: Work closely with engineering, product management, and DevOps teams to share insights, identify recurring issues, and drive improvements to the Databricks Data Intelligence platform. Documentation and Knowledge Sharing: Create and maintain detailed documentation on support procedures, known issues, and solutions. Contribute to internal knowledge bases and create training materials to assist other support engineers. Performance Monitoring: Monitor and analyze platform performance metrics to identify potential issues before they impact customers. Implement optimizations and enhancements to improve platform stability and efficiency. Platform Upgrades: Manage and oversee the deployment of Databricks Data Intelligence platform upgrades and patches, ensuring minimal disruption to services and maintaining system integrity. Innovation and Improvement: Stay abreast of industry trends and advancements in Databricks technology. Propose and drive initiatives to enhance platform capabilities and support processes. Customer Feedback: Collect and analyze customer feedback to drive continuous improvement in support processes and platform features. Qualifications: Experience: Minimum of 5 years of hands-on experience in a technical support or engineering role related to Databricks Data Intelligence platform, cloud data platforms, or big data technologies. Technical Skills: A deep understanding of Databricks architecture and Apache Spark, along with experience in cloud platforms like AWS, Azure, or GCP, is essential. Strong capabilities in designing and managing data pipelines, distributed computing are required. Proficiency in Unix/Linux administration, familiarity with DevOps practices, and skills in log analysis and monitoring tools are also crucial for effective troubleshooting and system optimization. Problem-Solving: Demonstrated ability to diagnose and resolve complex technical issues with a strong analytical and methodical approach. Communication: Exceptional verbal and written communication skills, with the ability to effectively convey technical information to both technical and non-technical stakeholders. Customer Focus: Proven experience in managing high-impact customer interactions and ensuring a positive customer experience. Collaboration: Ability to work effectively in a team environment, collaborating with engineering, product, and customer-facing teams. Education: Bachelor s degree in Computer Science, Engineering, or a related field. Advanced degree or relevant certifications are highly desirable. Preferred Skills: Experience with additional big data tools and technologies such as Hadoop, Kafka, or NoSQL databases. Familiarity with automation tools and CI/CD pipelines. Understanding of data governance and compliance requirements. Innovative Environment: Work with cutting-edge technology in a fast-paced, innovative company. Career Growth: Opportunities for professional development and career advancement. Team Culture: Collaborate with a talented and motivated team dedicated to excellence and continuous improvement. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visithttps://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to pr...

About Databricks At Databricks, we are driven by our passion for enabling data teams to solve the world s most challenging problems from building the next mode of transportation to accelerating medical breakthroughs. We achieve this by creating the world s leading data and AI infrastructure platform, empowering our customers to leverage deep data insights to transform their businesses. Founded by engineers and customer-obsessed, we thrive on solving technical challenges, whether it s designing next-gen UI/UX for data interaction or scaling services and infrastructure across millions of virtual machines. And we re just getting started. The Opportunity As one of the first Engineering Managers in the Software Engineering team at Databricks India, you will be at the forefront of building infrastructure and products at scale for the Databricks platform. You will lead a talented team working on complex and highly scalable systems, contributing to multiple domains, including: Resource management infrastructure for big data and machine learning workloads scalable, secure, and cloud-agnostic. Reliable, scalable services and client libraries that handle massive amounts of data across multiple regions and cloud providers. Developer tools for operating services across different clouds and environments. Services and infrastructure at the intersection of machine learning and distributed systems. The Impact You Will Have Build and lead an exceptional engineering team by hiring and retaining top talent. Ensure high technical standards through robust processes (e.g., architecture reviews, testing) and foster a culture of engineering excellence. Define and execute long-term roadmaps, collaborating with engineering and product leadership. Coordinate execution and unblock cross-team projects, ensuring alignment and timely delivery. What We Look For 10+ years of experience with large-scale distributed systems, including strong expertise in testing, monitoring, and defining SLAs. Proven experience as a Software Engineering Leader, building and scaling engineering teams from the ground up. Strong technical background, with extensive experience managing high-performing software engineering teams. Proven ability to partner with Product Management, Sales, and Customers to develop innovative features and products. BS (or higher) in Computer Science or a related field. About Databricks Databricks is the data and AI company, trusted by more than 10,000 organizations worldwide, including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500. We help unify and democratize data, analytics, and AI through the Databricks Data Intelligence Platform. Founded by the original creators of Apache Spark, Delta Lake, MLflow, and the Lakehouse architecture, Databricks is headquartered in San Francisco with offices across the globe. Qualification : BS (or higher) in Computer Science, or a related field.

At Databricks, we are obsessed with Data + AI to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Founded in 2013 by the original creators of Apache Spark , Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 6500 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world. The Money team's mission at Databricks is to maximize the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialization strategies, timely & accurate billing, cost optimization tools, intelligent resource usage controls, and cutting-edge engineering. We provide a seamless and consistent set of platforms to enable all Databricks products to reach customers quickly, and sustainably. As the first Engineering Manager for Money at Databricks India, you will be key to building a base for one of Databricks most central engineering orgs. You will own critical components that form the backbone of our business, starting with Databricks resource admission control and usage governance infrastructure. Your role is crucial in helping bring diverse business needs together, including abuse prevention, product commercialization motions, and reliable product availability at scale. You will work closely with infrastructure as well as product teams in bringing critical governance functionality to Databricks customers. The impact you will have: Hire great engineers to build an outstanding team and support their career development by providing clear and timely feedback Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence) Work with engineering and product leadership to build a long-term roadmap Coordinate execution and collaborate across teams to successfully deliver cross-cutting strategic projects What we look for: 10+ years of extensive experience with large-scale distributed systems alongside processes around testing, monitoring, SLAs etc 5+ years of engineering management experience, building, managing and mentoring high-performing software engineering teams Demonstrated success in collaborating with multiple cross-functional stakeholders to align system features and architecture, to deliver impactful platform projects Experience in developing and implementing proactive mechanisms for failure detection and incident prevention Excellent leadership, communication, and project management skills BS (or higher) in Computer Science, or a related field About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter,LinkedIn and Facebook . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visithttps://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Qualification : BS (or higher) in Computer Science, or a related field.

About Databricks At Databricks, we are passionate about empowering data teams to solve the world s toughest challenges from creating the next mode of transportation to accelerating medical breakthroughs. We build and run the world s best data and AI infrastructure platform, enabling our customers to leverage deep data insights to transform their businesses. Founded by engineers and customer-obsessed, we thrive on solving technical challenges whether it's designing next-gen UI/UX for interacting with data or scaling our services and infrastructure across millions of virtual machines. And we re only getting started. The Opportunity As one of the first Engineering Managers in the Software Engineering team at Databricks India, you will lead a team of talented engineers to build infrastructure and products at scale for the Databricks platform. Our teams work across diverse domains, including: Resource Management Infrastructure: Power big data and machine learning workloads on a scalable, secure, and cloud-agnostic platform. Reliable, Scalable Services and Client Libraries: Handle massive amounts of data across multiple regions and cloud providers. Developer Tools: Help Databricks engineers operate services across different clouds and environments. Services and Infrastructure at the Intersection of Machine Learning and Distributed Systems. The Impact You Will Have Hire and grow a world-class engineering team, fostering a supportive and collaborative environment. Support engineers career development, providing regular feedback and cultivating future engineering leaders. Ensure high technical standards by implementing effective processes (e.g., architecture reviews, testing) and promoting a culture of engineering excellence. Collaborate with engineering and product leadership to define and execute long-term roadmaps. Coordinate execution and unblock cross-team projects, ensuring timely delivery and alignment with business objectives. What We Look For 12+ years of experience with large-scale distributed systems, including expertise in testing, monitoring, and defining SLAs. Proven track record as a Software Engineering Leader, with experience building and scaling engineering teams from the ground up. Extensive experience managing high-performing software engineering teams. Strong collaboration skills to partner with Product Management, Sales, and Customers in developing innovative features and products. BS (or higher) in Computer Science or a related field. About Databricks Databricks is the data and AI company, trusted by over 10,000 organizations worldwide, including Comcast, Cond Nast, Grammarly, and more than 50% of the Fortune 500. We help unify and democratize data, analytics, and AI through the Databricks Data Intelligence Platform. Headquartered in San Francisco, Databricks was founded by the original creators of Apache Spark, Delta Lake, MLflow, and the Lakehouse architecture, with offices across the globe. Qualification : BS (or higher) in Computer Science, or a related field.