AWS Step Functions Jobs in Bengaluru

Sr. Enterprise Applications Developer Location: Bengaluru Team: Tech Ops Engineering Experience Required: 5+ Years About Aviatrix: Aviatrix is a cloud network security leader trusted by 500+ global enterprises. We provide the power, control, and security needed to modernize cloud strategies, ensuring organizations are ready for the future of AI-driven cloud networking. The Role: Engineering for Business Excellence As a Sr. Enterprise Applications Developer, you will join our Tech Ops team to architect secure, scalable, and reliable internal applications. You will work with serverless architectures and LLM-powered tools to support critical business functions and solve complex technical challenges. Technical Stack & Expertise Core Technologies: Serverless Mastery: Hands-on experience with AWS Lambda and AWS Step Functions. Backend & Scripting: Proficient in Node.js and Python. Frontend & Data: Skilled in React for UI development and Postgres for database management. Multi-Cloud: Familiarity with AWS, Azure, and GCP platforms. Engineering Competencies: Architecture: Strong understanding of Distributed Systems and API Design. AI Workflow: Ability to leverage AI/LLM tools for code generation, test automation, and architecture exploration. Security: Experience with SSO integrations and secure authentication solutions. Operations: Familiarity with DevOps, CI/CD, and building IT applications for Sales, Support, or Marketing. Primary Responsibilities Scalable Development: Build internal applications using modern cloud-native patterns. Integration Management: Develop and maintain secure integrations between internal systems and external services. Operational Excellence: Lead code reviews, testing, and debugging to ensure high performance and reliability. Cross-functional Leadership: Partner with IT, Security, and Business stakeholders to align on system requirements. Mentorship: Participate in technical hiring and support the growth of the engineering team. Benefits & Why Aviatrix Total Rewards: Comprehensive pension, private medical, life assurance, and long-term disability. Wellbeing: Annual wellbeing stipend and a generous holiday allowance. Culture of Growth: We value unique career journeys if you are excited by this role, we encourage you to apply even if your background doesn't match every requirement perfectly.

Manager, Enterprise Applications Location: Bengaluru Team: Tech Ops Experience Required: 8+ Years (including 2+ years in Leadership) About Aviatrix: Aviatrix is a leading cloud network security company trusted by over 500 enterprises. Our Cloud Native Security Fabric (CNSF) delivers runtime security and visibility, enabling teams to adopt AI and serverless computing with confidence. The Role: Technical Manager & Architect We are seeking a Manager, Enterprise Applications for a hybrid role that balances hands-on engineering with strategic leadership. You will drive the design of secure, scalable applications while fostering a culture of accountability and excellence within our Bengaluru development team. Technical Expertise Core Technology Stack: Serverless Mastery: Expert-level proficiency with AWS Lambda and AWS Step Functions. Full-Stack Development: Professional experience in Node.js, Python, and React. Data Management: Strong knowledge of Postgres and cloud platforms (AWS, Azure, GCP). Advanced Engineering Skills: AI & LLM Integration: Experience building LLM-powered applications and leveraging AI tools for code generation and architecture exploration. Security & Authentication: Deep understanding of SSO integrations, API design, and distributed systems security. Infrastructure: Familiarity with DevOps, CI/CD, and automated testing frameworks. Key Responsibilities Technical Leadership: System Design: Lead the delivery of complex enterprise applications, making critical strategic trade-offs and proposals. Operational Efficiency: Continuously improve application reliability, performance, and security. Cross-Functional Representation: Act as the primary technical liaison for stakeholders and business partners. People & Team Management: Team Mentorship: Conduct 1:1s, performance reviews, and career development discussions for junior engineers. Execution & Planning: Drive team performance through strategic planning, tracking, and alignment with organizational priorities. Growth: Lead technical hiring to expand the Enterprise Applications team. Benefits & Why Aviatrix Total Rewards: Comprehensive pension, private medical, life assurance, and long-term disability. Wellbeing: Annual wellbeing stipend and generous holiday allowance. Inclusive Environment: We value unique paths. If you are passionate about leading engineers and solving cloud-scale challenges, we want to hear from you.

Senior Manager, Security Operations Center (SOC) Location: Bangalore Type: Full-Time Experience Required: 8+ Years (3+ in Leadership) Role Overview: Strategic Cyber Defense We are seeking a Senior Manager to lead and modernize our SOC operations across enterprise and product environments. You will oversee a high-performance team dedicated to threat detection, advanced detection engineering, and incident response. This role is a strategic blend of technical mastery leveraging AI and SOAR and people leadership, focused on building a resilient, automation-first security culture. Core SOC Service Offerings & Expertise Advanced Defense & Detection: Detection Engineering: Implement Detection-as-Code practices and prioritize backlogs based on the evolving threat landscape. Threat Intelligence & Hunting: Deliver actionable intel and execute structured threat hunting hypotheses to proactively identify stealthy adversaries. Deception & Validation: Manage deception strategies (honeypots/tokens) and use attack emulation tools to validate detection logic effectiveness. Forensics: Lead digital forensic investigations, evidence acquisition, and post-incident analysis. Automation & Technology Stack: Azure Ecosystem: Advanced proficiency with Microsoft Sentinel, Defender XDR, and Defender for Cloud using KQL. Cloud Operations: Strong knowledge of security operations across Azure, AWS, and preferably GCP. SOAR & AI: Champion the integration of Security Orchestration, Automation, and Response (SOAR) and AI to drive SOC efficiency. Key Responsibilities Leadership & Strategy: Team Development: Coach and mentor the SOC team, conducting regular 1-on-1s and fostering a growth-oriented culture to prevent burnout. Roadmap Execution: Help define a comprehensive SOC strategy and maturity framework aligned with organizational risk management. Stakeholder Liaison: Act as a trusted advisor to Product, IT, and Development leaders to integrate security into cross-functional workflows. Metrics & Operational Excellence: Data-Driven Reporting: Develop dashboards (e.g., Power BI) to track KPIs, KRIs, and detection coverage. Incident Lifecycle: Lead the lifecycle of escalated incidents, conduct root cause analysis, and execute tabletop exercises. 24/7 MDR Strategy: Define operational procedures for Managed Detection and Response (MDR) and sustainable on-call rotations. Qualifications for Success Proven Leadership: 8+ years in InfoSec with specific experience leading SOC or MDR functions. Azure Mastery: Deep technical expertise in the Microsoft security stack. Framework Knowledge: Familiarity with MITRE ATT&CK, Purple Teaming, and cloud-native detection. Soft Skills: Exceptional ability to simplify complex technical content for executive-level communication.

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

Enterprise Customer Success Manager Location: Bengaluru Work Type: Full-Time About Postman Postman is the world s leading API platform, empowering over 40 million developers and 500,000 organizations including 98% of the Fortune 500 to build, test, and manage APIs efficiently. Headquartered in San Francisco, with offices in Boston, New York, and Bengaluru (where Postman was founded), we re backed by Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. We re building an API-first world, simplifying every step of the API lifecycle through innovation, collaboration, and user empowerment. The Opportunity As an Enterprise Customer Success Manager (CSM), you will act as a strategic advisor to a portfolio of large enterprise customers, driving value realization, adoption, and growth. You ll own the post-sales relationship end-to-end from onboarding to expansion working cross-functionally with Sales, Product, and Engineering teams to ensure a best-in-class customer experience. This is a high-impact role where you ll help customers achieve business outcomes through Postman s platform while contributing directly to company success metrics. Key Responsibilities Customer Success Planning: Develop tailored success plans aligned with each customer s goals and API strategy. Onboarding & Enablement: Lead smooth onboarding, technical setup, and product adoption journeys. Consultative Partnership: Advise customers on best practices for API management, integrations, and collaboration using Postman. Impact Reviews: Conduct business reviews showcasing ROI, usage insights, and growth opportunities. Stakeholder Engagement: Build trusted relationships across customer organizations from developers to the C-suite. Customer Advocacy: Capture success stories and case studies to highlight customer value and drive advocacy. Revenue Influence: Identify and drive expansion opportunities to contribute to Net and Gross Retention goals. Feedback & Insights: Provide actionable customer feedback to shape Postman s product roadmap and strategy. Success Metrics Gross Retention Rate (GRR) Net Retention Rate (NRR) License Occupation (LO%) and Weekly Collaborating Users (WCU) Monthly Active Users (MAU) Expansion and upsell impact About You 8+ years in enterprise customer success, account management, or consulting preferably in SaaS or developer tools. Strong technical foundation (Bachelor s in Computer Science, Engineering, or related field). Proven success managing executive relationships and driving customer outcomes. Deep understanding of the API lifecycle, developer ecosystems, and DevOps principles. Experience with Postman, Atlassian, GitHub, or AWS tools preferred. Skilled in Gainsight, Salesforce, Gong, and related success tools. Excellent communicator able to translate technical value to business outcomes. Strategic, analytical, and proactive problem-solver who thrives in fast-paced environments. Why Join Postman At Postman, we believe in creating a culture of curiosity, inclusion, and continuous learning. Along with competitive pay and flexible schedules, we offer: Comprehensive medical coverage Flexible PTO and wellness reimbursement Monthly lunch stipend and wellness programs Hybrid work model (3 days a week in-office) Team-building events and a donation-matching program We re building a long-term, inclusive company where everyone can thrive and do their best work. Our Values Curiosity: We explore and innovate fearlessly. Transparency: We communicate openly about wins and challenges alike. Focus: We set clear goals that ladder up to a bold vision. Inclusion: Every voice matters in building what comes next. Excellence: We re dedicated to delivering the best together. Qualification : Bachelors in Computer Science, Engineering, or related field

Director Quality Engineering Experience: 15 20 years Location: Bengaluru Team: Engineering About CoinDCX At CoinDCX, we believe Change Starts Together. We are on a mission to make Web3 accessible to all, building cutting-edge products that solve real-world challenges in security, scalability, and user accessibility. In just six years, we ve transformed from India s first crypto unicorn to a platform serving over 125 million users worldwide. As we accelerate Web3 adoption, we are looking for visionary leaders to help us maintain world-class quality and performance standards. Role Overview As Director of Quality Engineering, you will lead and scale our QA and Performance Engineering functions to ensure the reliability, scalability, and security of our fintech products. You ll be responsible for driving the quality strategy across large-scale distributed systems and building a high-performing team passionate about excellence. What You ll Do Leadership & Strategy Lead and grow a team of 50+ QA, automation, and performance engineers. Define and execute a long-term quality engineering strategy aligned with business goals and regulatory requirements. Foster a culture of ownership, accountability, and continuous improvement. Quality Engineering Champion an automation-first approach across functional, regression, and integration testing. Oversee end-to-end validation for core product flows including trading, payments, custody, and compliance. Own testing strategies for microservices architectures and high-throughput APIs. Performance & Scalability Lead performance testing initiatives designed to support systems handling over 1 million TPS with sub-50ms latency. Develop frameworks for continuous performance benchmarking and capacity planning. Collaborate with SRE, DevOps, and Product Engineering to identify and mitigate performance bottlenecks. Non-Functional Testing Ensure comprehensive coverage for reliability, availability, failover, disaster recovery, and security. Drive chaos testing, fault injection, and compliance-related quality assurance processes. Collaboration & Stakeholder Management Partner with Product, Platform, Security, and Compliance teams to align quality standards with regulatory mandates. Provide executive reporting on quality, system resilience, and risk metrics. Influence cross-functional adoption of best practices in testing and release validation. What You Bring Experience 15+ years in QA and Performance Engineering, with at least 5 years in senior leadership roles. Proven experience managing large, high-growth fintech or financial services engineering teams (50+ members). Technical Expertise Deep expertise in testing large-scale distributed systems. Strong knowledge of performance, load, stress, soak, and chaos testing frameworks. Familiarity with cloud-native environments (AWS, Kubernetes), CI/CD pipelines, and observability tools. Domain Knowledge Extensive background in fintech or financial services (trading, payments, banking). Strong understanding of regulatory and compliance requirements in financial applications. Leadership & Soft Skills Exceptional people leadership, mentoring, and organizational scaling capabilities. Excellent stakeholder management with the ability to influence senior engineering and business leaders. Strategic, data-driven decision-making mindset. You re passionate and constantly curious about Web3 and Virtual Digital Assets (VDA). You act with ownership, drive excellence, and focus on measurable impact. You embrace a We over Me philosophy empowering your team as you grow. Change excites you and fuels your innovation mindset. You think beyond limits, challenging the status quo to push boundaries. Perks That Empower You Design Your Own Benefit: Personalize your perks to fit your lifestyle whether it s tech, travel, or pets, your priorities come first. Unlimited Wellness Leaves: Take time off as needed to recharge your health matters most. Mental Wellness Support: Access free counseling, expert sessions, workshops, and social events to stay balanced. Bi-Weekly Learning Sessions: Sharpen your skills and stay current with ongoing industry trends and knowledge. Join Us If you re ready to lead a high-impact team and help build the future of Web3 quality engineering we want to HODL you on our team!

Job Title: Senior Manager Data Science, Data Modelling & Analytics Location: Bengaluru Department: Insights & Analysis About the Role: As a Senior Manager, you will lead a team of data scientists and analysts, driving the development and deployment of advanced analytics solutions that enable data-driven decision-making. This role blends strategic leadership with hands-on technical expertise, playing a critical part in delivering impactful insights and analytics across the organization. Key Responsibilities: Hands-On Technical Contribution: Design, develop, and deploy advanced machine learning models and statistical analyses to address complex business challenges. Utilize Python, R, SQL, and other tools to manipulate data and build predictive models. Manage end-to-end data pipelines including collection, cleaning, transformation, and visualization. Collaborate with IT and data engineering teams to integrate analytics solutions into production environments. Provide thought leadership on analytics solutions and metrics aligned with business needs. Team Leadership & Development: Lead, mentor, and manage a team of data scientists and analysts, fostering collaboration and innovation. Guide career development, conduct performance evaluations, and promote skill enhancement. Encourage continuous learning and adoption of best practices in data science methodologies. Strategic Planning & Execution: Collaborate with senior leadership to define and execute data science strategy aligned with business goals. Identify and prioritize high-impact analytics projects that deliver business value. Ensure timely and quality delivery of analytics solutions balancing scope and resources. Client Engagement & Stakeholder Management: Act as primary point of contact for clients, translating business challenges into data science solutions. Lead client presentations, workshops, and discussions, effectively communicating complex analytical concepts. Build and maintain strong client relationships, managing expectations and deliverables. Deliver regular reports and dashboards to senior management and stakeholders. Bridge communication between technical teams and business units to align analytics initiatives with organizational objectives. Cross-Functional Collaboration: Work closely with Business Intelligence, Market Analytics, and Data Engineering teams to integrate analytics into business processes. Translate complex insights into actionable recommendations for non-technical stakeholders. Facilitate data-driven workshops and presentations across the organization. Collaborate with support functions to provide timely leadership updates on operational metrics. Governance & Compliance: Ensure compliance with data governance policies and data privacy regulations (e.g., GDPR, PDPA). Implement best practices for data quality, security, and ethical analytics use. Stay abreast of industry trends and regulatory changes affecting data analytics. Qualifications: Education: Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Mathematics, or related field. Experience: 12+ years in advanced analytics, data science, data modelling, machine learning, or related fields. 5+ years in leadership roles managing analytics teams and projects. Experience in BFSI, Hi-Tech, Retail, or Healthcare industries preferred. Experience with media data is a plus. Technical Skills: Proficiency in Python, R, SQL. Experience with data visualization tools like Tableau, Power BI. Familiarity with big data platforms (Hadoop, Spark) and cloud services (AWS, GCP, Azure). Strong knowledge of machine learning frameworks and libraries. Soft Skills: Excellent analytical and problem-solving skills. Strong communication and interpersonal abilities. Ability to influence and drive organizational change. Strategic thinker focused on business outcomes. Desirable Expertise: Advanced Analytics Techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression, time series forecasting, classification, market mix modelling. Prescriptive Analytics: Optimization, simulation modelling. Text Analytics: NLP, sentiment analysis. Machine Learning Techniques: Supervised Learning: Linear/logistic regression, decision trees, random forests, gradient boosting, SVMs. Unsupervised Learning: Clustering, PCA, anomaly detection. Reinforcement Learning: Q-learning, deep Q-networks. Generative AI & Large Language Models (Good to Have): Experience with GPT, Gemini, LLAMA, etc. for text generation, summarization, conversational agents. Hyperparameter tuning, prompt engineering, embeddings, fine-tuning. Additional Skills: Proficiency with Tableau or Power BI (advanced visualization). Strong data management, structuring, and harmonization skills.

Solution Architect Industrial Agents Location: Bengaluru Team: Global Strategic Services Architecture Type: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader transforming industrial operations with cutting-edge AI and data solutions. Our key offerings including Cognite Atlas AI and Cognite Data Fusion (CDF) help industrial companies solve complex problems, improve efficiency, and make data-driven decisions at scale. Recognized as the 2024 Microsoft Energy & Resources Partner of the Year and the 2022 Technology Innovation Leader for Global Digital Industrial Platforms, we are reshaping the future of digital transformation across sectors like Oil & Gas, Manufacturing, Chemicals, Pharma, and Energy. Our Values Impact: We focus on delivering meaningful, real-world outcomes. Ownership: We take responsibility, embrace inclusivity, and step outside our comfort zones. Relentless: We pursue innovation with energy and integrity never ruthless, always responsible. Role Overview As a Solution Architect Industrial Agents, you will lead the design and development of advanced AI agent frameworks built on Cognite Data Fusion, Atlas AI, and cutting-edge generative AI technologies. You ll enable clients to deploy intelligent agents that autonomously manage and optimize complex industrial systems. This role requires deep expertise in AI, multi-agent systems, and data integration, with a focus on building repeatable, scalable, and production-ready solutions. You ll work closely with engineering, product, customer success, and global delivery teams to ensure successful implementations that create real customer value. What You'll Do Architect robust, scalable solutions that integrate Cognite platforms with AI agent frameworks. Design multi-agent systems using technologies like LangChain to solve real-world industrial problems. Lead the development of Retrieval-Augmented Generation (RAG) systems and intelligent prompt engineering. Implement and optimize vector databases (e.g., Pinecone, Weaviate, Faiss) for advanced semantic search and retrieval tasks. Guide data modeling and integration using Python, SQL, REST APIs, and Cognite s SDKs. Provide technical leadership and mentor engineers across AI and platform teams. Work with cross-functional teams to define requirements, develop prototypes, and launch production-ready solutions. Stay ahead of AI trends especially in generative AI, agent orchestration, reinforcement learning, and time series analysis. Collaborate with product and delivery teams to shape Cognite s evolving AI product suite. What You Bring 10+ years in software engineering, including 5+ years in AI and 2+ years in generative AI or intelligent systems. Proven hands-on experience with multi-agent systems (especially using LangChain or similar frameworks). Strong grasp of RAG architecture, knowledge graphs, and graph databases (e.g., Neo4j, RDF). Proficiency in Python (must-have), and optionally JavaScript or Java. Experience in vector database architecture, embedding creation, and high-performance similarity search. Deep understanding of LLMs, fine-tuning techniques, and prompt engineering. Familiarity with cloud environments (AWS, Azure), CI/CD, Docker, and Kubernetes. Strong communication and stakeholder management skills. Experience with time series forecasting models (e.g., LSTMs, ARIMA, Prophet) and real-time anomaly detection. Industrial domain experience is a plus but not required. Why Join Cognite Be part of a global team of 70+ nationalities driving the industrial AI revolution. Enjoy a flat organizational structure with direct access to leadership and decision-makers. Thrive in a modern, collaborative, hybrid work environment based in Bengaluru. Work on some of the world s most ambitious digital transformation projects. Join a culture of ownership, creativity, and continuous innovation. If you re passionate about shaping the future of industrial AI through intelligent agent systems, we want to hear from you. Cognite welcomes applicants from all backgrounds and identities.

Lead Software Engineer - Backend Location: Bengaluru, India Employment Type: Full-time, Hybrid About Neuron7.ai Neuron7.ai is a rapidly growing AI-first SaaS company that is redefining service intelligence. Backed by top-tier venture capitalists in Silicon Valley and a distinguished group of angel investors, we are recognized as a startup to watch. Our AI-driven platform helps enterprises make accurate service decisions at scale by delivering service predictions in seconds through the analysis of structured and unstructured data. We work across industries, including high-tech devices, manufacturing, and medical devices, enabling service leaders to excel in critical metrics like first-call resolution, turnaround time, and service margins. At Neuron7.ai, you ll be part of an innovative and dynamic team that is shaping the future of service intelligence. We value creativity, collaboration, and a commitment to pushing boundaries. This is your chance to make an impact in a fast-growing startup and work with cutting-edge technology. About the Team As a Lead Software Engineer - Backend, you will play a crucial role in architecting, developing, and optimizing backend systems for our groundbreaking products. You will lead a talented team, collaborating across functions to deliver scalable and high-performance systems. As a leader, you ll also mentor and guide junior engineers to help them grow in their careers. What You ll Do: Backend Systems Design: Lead the design and implementation of scalable, reliable, and high-performance backend systems. Distributed Systems: Develop and optimize distributed systems to handle large-scale traffic and data. System Architecture: Lead the architecture and design of critical components, ensuring robust and efficient solutions. Code Development: Write clean, maintainable, and efficient code that powers our AI-driven platform. Cross-Functional Collaboration: Work closely with product managers, frontend engineers, and other stakeholders to deliver end-to-end solutions. Troubleshooting & Debugging: Solve complex production issues and implement reliable, performance-optimized solutions. Mentorship: Provide guidance and mentorship to junior and mid-level engineers, fostering a collaborative environment. Continuous Learning: Stay updated on the latest trends and advancements in backend development, AI, and distributed systems. What We re Looking For: Experience: Minimum 10 years of professional experience in backend development, with at least 4 years of experience in AI, NLP, or ML. Programming Skills: Expertise in one of the following programming languages: Java, Python, or Golang. Distributed Systems: Proven experience in building and maintaining distributed systems at scale. Cloud Platforms: Familiarity with at least one major cloud platform (Azure, AWS, or GCP). System Design: Strong understanding of system design, architecture patterns, and data structures. Database Knowledge: Experience with relational and NoSQL databases. API Development: Proficiency in developing RESTful APIs and microservices. Security & Performance: Solid understanding of security best practices and performance optimization in backend systems. Problem-Solving Skills: Strong analytical skills with a proven track record of solving complex engineering challenges. Communication: Excellent communication skills with the ability to collaborate across teams and interact with non-technical stakeholders. Preferred Skills: Containerization: Experience with Kubernetes, Docker, or other containerization tools for scalable deployment. Messaging Systems: Familiarity with Kafka, RabbitMQ, or similar messaging systems for real-time data processing. CI/CD: Knowledge of CI/CD pipelines and automation tools to ensure efficient development and deployment. Data Pipelines: Familiarity with data pipelining frameworks such as PySpark, Flink, or similar for real-time processing. What We Do and Value: At Neuron7.ai, we prioritize integrity, innovation, and a customer-centric approach. Our mission is to enhance service decision-making through advanced AI technology, and we are dedicated to delivering excellence in every aspect of our work. Company Perks & Benefits: Competitive salary, equity, and spot bonuses Paid sick leave Latest MacBook Pro for your work Comprehensive health insurance Paid parental leave Work from home or from our vibrant Bengaluru office with hybrid work arrangements Our Commitment to Diversity and Inclusion: Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination based on race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, marital status, or any other characteristic protected by law. If you re excited about building innovative backend solutions and want to work with cutting-edge technologies in a forward-thinking team, we d love to hear from you!

Job Title: Azure Infrastructure Architect Location: Bengaluru, Karnataka, India Department: Engineering About CloudSEK CloudSEK is one of India s leading cybersecurity product companies, focused on leveraging Artificial Intelligence and Machine Learning to identify and resolve digital threats in real-time. With a strong portfolio of products like CloudSEK XVigil, BeVigil, and SVigil, we provide advanced solutions for attack surface monitoring, cybersecurity risk management, and software supply chain protection. We are headquartered in Singapore and have expanded rapidly across India, Southeast Asia, and the Americas. At CloudSEK, we prioritize innovation, agility, and building impactful products that keep our customers ahead of emerging cybersecurity threats. About the Role: Azure Infrastructure Architect CloudSEK is looking for an Azure Infrastructure Architect to design, implement, and optimize cloud infrastructure solutions on Microsoft Azure. The ideal candidate will have deep expertise in Azure services, infrastructure automation, and security best practices, with a strong background in cloud architecture patterns. You will work closely with various stakeholders to align cloud strategies with business objectives, ensuring high availability, security, and scalability of enterprise applications. Key Responsibilities Cloud Architecture & Design: Design and implement highly scalable, resilient, and secure cloud infrastructure solutions on Microsoft Azure. Develop cloud adoption strategies, migration plans, and hybrid cloud architectures to meet business needs. Create architecture blueprints, reference architectures, and best practices tailored to Azure environments. Ensure compliance with the Azure Well-Architected Framework and other industry standards. Infrastructure & Automation: Architect and automate Infrastructure as Code (IaC) using tools like Terraform, ARM templates, Bicep, and Ansible. Implement CI/CD pipelines for infrastructure deployment using Azure DevOps, GitHub Actions, or Jenkins. Automate cloud operations, monitoring, and governance using Azure Automation, PowerShell, and Python. Security & Compliance: Design and enforce Azure security best practices including Azure Policy, RBAC, NSGs, Key Vault, Defender for Cloud, and Sentinel. Ensure adherence to regulatory frameworks like ISO 27001, SOC 2, GDPR, and HIPAA. Perform threat modeling, risk assessments, and define zero-trust architectures. Networking & Hybrid Cloud: Design and optimize Azure Virtual Networks (VNet), ExpressRoute, VPN Gateway, and Load Balancers for seamless operations. Implement hybrid cloud architectures, integrating on-premises data centers with Azure via Azure Arc. Optimize network performance, DNS, CDN, and traffic routing in cloud-native environments. Performance Optimization & Cost Management: Leverage Azure Cost Management to implement cost-effective cloud solutions and manage reserved instances. Optimize cloud resource utilization using Autoscaling, VM sizing, and Serverless computing models. Define and implement cloud governance policies to control costs and improve operational efficiency. Collaboration & Stakeholder Engagement: Collaborate with DevOps, Security, and Application teams to align infrastructure solutions with business needs. Provide technical leadership and guidance to engineering teams, ensuring alignment with industry trends and best practices. Act as a trusted advisor to leadership on cloud strategies, emerging technologies, and technical decision-making. Required Skills & Qualifications Technical Expertise: Azure Services: Experience with Azure Virtual Machines, Azure Kubernetes Service (AKS), Azure Functions, Azure Storage, Azure SQL, CosmosDB, and Azure Networking (VNet, NSG, VPN, ExpressRoute). Automation & IaC: Expertise in Terraform, ARM Templates, Bicep, Ansible, PowerShell, Python. DevOps & CI/CD: Knowledge of Azure DevOps, GitHub Actions, Jenkins, Kubernetes, Docker. Security & Compliance: Familiarity with Azure Security Center, Azure AD, Key Vault, Microsoft Defender for Cloud, Sentinel, and Zero Trust Model. Networking & Hybrid Cloud: Experience with ExpressRoute, Load Balancers, Private Link, Virtual WAN, Azure Arc. Monitoring & Logging: Proficiency with Azure Monitor, Log Analytics, Prometheus, and Grafana. Cloud Migration: Hands-on experience in cloud migrations using Azure Migrate, including planning and execution. Soft Skills: Strong problem-solving and analytical abilities. Excellent communication and stakeholder management skills. Ability to work in agile environments and across cross-functional teams. A passion for continuous learning and staying updated with the latest Azure technologies. Preferred Qualifications: Azure Certifications such as Azure Solutions Architect Expert (AZ-305), Azure Security Engineer (AZ-500), or Azure DevOps Engineer (AZ-400). Experience with multi-cloud environments (AWS, GCP). Familiarity with database technologies (SQL, NoSQL, PostgreSQL, MySQL). Location Bengaluru, Karnataka, India Education/Qualification Bachelor s degree in Engineering or Technology (B.Tech/BE). Years of Experience 10 to 15 years of professional experience in cloud infrastructure and architecture design. Be part of a fast-growing startup where you can make a direct impact. Competitive salary and a comprehensive benefits package. Access to cutting-edge technologies and continuous learning opportunities. Flexible working hours and a collaborative work culture focused on innovation and growth. If you're an experienced Azure Infrastructure Architect passionate about designing and optimizing cloud solutions with Microsoft Azure, we would love to hear from you! Join CloudSEK and be part of a forward-thinking team revolutionizing the cybersecurity landscape. Qualification : Bachelors degree in Engineering or Technology (B.Tech/BE).

DevOps Engineer Location: Bengaluru, Karnataka, India (On-Site) Department: Engineering Employment Type: Full-Time About Sarvam.ai Sarvam.ai is a cutting-edge generative AI startup headquartered in Bengaluru, India, with a mission to make generative AI accessible and impactful for Bharat. Founded by AI experts, we are dedicated to developing high-performance, cost-effective AI agents tailored for the Indian market. We enable enterprises to tap into new opportunities, build deeper customer connections, and reshape the future of AI for India and beyond. Role Overview We are looking for a DevOps Engineer to join our team and help build and manage scalable, secure, and high-performance infrastructure. In this role, you will be a key contributor to automating deployments, managing cloud infrastructure, optimizing CI/CD workflows, and ensuring system reliability. You will work with cutting-edge technologies, including cloud platforms, containerization, and infrastructure as code (IaC), to deliver impactful solutions for AI-driven products. Key Responsibilities CI/CD Pipelines: Design, implement, and manage CI/CD pipelines for seamless software deployment and integration. Cloud Infrastructure: Deploy and manage cloud infrastructure using Terraform, Kubernetes, and Docker for scalability and high performance. Automation & Scaling: Automate infrastructure provisioning, scaling, and security compliance to support high-availability environments. Monitoring & Optimization: Implement logging, monitoring, and alerting solutions using tools like Prometheus, Grafana, ELK Stack, or CloudWatch to monitor system performance and optimize resource utilization. Security & Compliance: Enhance security and compliance by managing IAM policies, encryption, and vulnerability scanning. Troubleshooting & Root Cause Analysis: Troubleshoot system failures, perform root cause analysis, and implement improvements to ensure reliability and uptime. Collaboration: Work closely with development teams to ensure smooth deployment and operation of AI models and applications. Must-Have Skills & Qualifications Educational Background: Bachelor s degree in Computer Science, Engineering, or related field (2024/2025 graduates). Cloud Expertise: Strong experience with AWS, Azure, or GCP for deploying and managing cloud-based applications. Containerization: Proficiency in Docker and Kubernetes for building and managing containerized applications. Infrastructure as Code (IaC): Experience with Terraform, Ansible, or CloudFormation to automate infrastructure management. CI/CD Pipelines: Experience in setting up automated workflows using tools like GitHub Actions, Jenkins, or GitLab CI/CD for smooth deployments. Monitoring & Logging: Experience with Prometheus, Grafana, ELK, or similar tools to implement effective monitoring and logging solutions. Networking & Security: Strong understanding of firewalls, VPNs, SSL, and cloud security best practices for secure infrastructure. Version Control: Proficiency with Git for managing code repositories and version control workflows. Problem Solving: Strong debugging, troubleshooting, and analytical skills to resolve complex system issues. Good to Have (Preferred Experience) Serverless Computing: Exposure to serverless computing models such as AWS Lambda or Azure Functions. Message Queues: Experience with message queues like Kafka, RabbitMQ, or SQS. Site Reliability Engineering (SRE): Familiarity with SRE practices to ensure the reliability and availability of large-scale systems. Open Source Contributions: Contributions to open-source projects or a strong GitHub portfolio showcasing DevOps expertise and best practices. Impactful Work: Work on AI-driven products that are reshaping the future of technology in India. Innovative Team: Collaborate with a team of AI experts and engineers pushing the boundaries of technology. Career Growth: Opportunity to grow in a fast-growing startup at the forefront of the generative AI revolution. Cutting-edge Technologies: Work with cloud technologies, automation, and AI infrastructure to create high-impact products. Qualification : Bachelors degree in Computer Science, Engineering, or related field

Principal Software Engineer - Backend | FinBox Location: Bengaluru Experience: 10-15 Years About FinBox: Where Fintech Meets Fun! Welcome to FinBox, where innovation in fintech meets creativity and excellence. Since our founding in 2017, we ve been transforming the financial services space, building state-of-the-art technologies that help lenders like Banks, NBFCs, and large enterprises quickly launch credit products cutting down development time from months to days. As a Series A funded company, we re rapidly expanding, with offices across India, Vietnam, Indonesia, and the Philippines. Our mission is to build the best-in-class infrastructure for lending products, empowering financial services firms worldwide to launch and scale credit programs that define the future of digital finance. We've already helped our customers disburse billions of dollars in credit, touching millions of lives globally. Innovative Environment: We encourage creative thinking and experimentation to push the boundaries of fintech. Impactful Work: Your contributions will directly impact millions, improving accessibility to credit across the world. Growth Opportunities: As a rapidly growing startup, we offer ample opportunities for personal and professional growth. Collaborative Culture: Join a dynamic, diverse, and inclusive team where everyone supports one another to drive meaningful change. Creative Thinkers: You thrive on out-of-the-box solutions and enjoy disrupting the status quo. Customer Heroes: You put the customer first and aim to solve their problems through innovation. Team Players: You work collaboratively and value diverse perspectives in achieving shared success. Key Responsibilities As a Principal Software Engineer - Backend, you will: Drive Technical Excellence Architect and deliver high-impact features and platform improvements with a focus on scalability, latency, and compliance (PCI DSS, GDPR, SOC2). Lead the resolution of critical tech debt across teams, ensuring long-term maintainability and performance. Shape Product Strategy Define and design long-term architecture that aligns with the business goals and technical requirements. Break down complex strategic initiatives into executable engineering tasks. Collaborate with Product, Sales, and Customer Success teams to align technical roadmaps with customer pain points. Ensure consistent, high-quality delivery across teams, maintaining high standards of engineering excellence. Grow Engineering Talent Mentor senior engineers, guiding them into leadership roles while fostering a culture of growth and excellence. Lead knowledge-sharing sessions, design reviews, and technical discussions to help upskill the team. Act as a Cross-Functional Partner Align engineering priorities with Product, Compliance, Operations, and Sales teams. Own Product Requirement Documents (PRDs) and vision decks for strategic features and roadmap alignment. Navigate trade-offs between different stakeholders and drive alignment across functions to ensure successful feature delivery. Ensure Production Stability Lead high-severity incident response and root cause analysis (RCA) processes, ensuring fast resolution and minimal downtime. Maintain and enforce up-to-date incident playbooks, driving a culture of reliability, accountability, and continuous improvement. Who You Are We re looking for someone who: Has 10+ years of experience in software engineering, with at least 3 years in a technical leadership or staff/principal role. Possesses expertise in system architecture, design patterns, and scaling distributed systems. Has a strong understanding of compliance and security frameworks such as GDPR, SOC2, and PCI DSS. Has proven experience in mentoring and developing senior engineers into leadership roles, fostering a culture of technical excellence. Demonstrates excellent collaboration skills, with experience working closely with cross-functional stakeholders to ensure alignment. Has hands-on experience in production incident management, improving system reliability and creating playbooks for incident response. Strong technical expertise in backend technologies (Go, Python, Java, Rust, etc.), cloud platforms (AWS, Azure, GCP), and databases (SQL/NoSQL). Nice to Have Experience working in SaaS or B2B product environments. Familiarity with OKRs and a metric-driven approach to product delivery. Contributions to open-source projects or active involvement in technical community events. Ownership: Lead major projects and own the technical direction for critical systems. Innovation: Work on cutting-edge technologies that redefine the future of digital finance. Impact: Play a direct role in providing accessible credit to millions of people worldwide. Culture: Join a team that values collaboration, creativity, and continuous learning. If you re a seasoned backend architect with leadership experience and a passion for fintech innovation, apply now and take your career to the next level with FinBox!

Sr. Data Engineer - AWS - Big Data Location:Bangalore Type of Employment: Full-Time Experience Required: 7 to 10 years Job Overview: We are seeking a highly skilled Sr. Data Engineer with expertise in AWS cloud technologies and Big Data to join our Cloud Data Architect Team at Infocepts. In this critical role, you will design and implement robust data solutions using technologies like EMR, Athena, PySpark, AWS Lambda, S3, and other AWS services. The ideal candidate will have a strong foundation in database concepts and SQL and will be responsible for building scalable data pipelines to support high-performance data processing. Key Responsibilities: Technology Assessment and Design: Study the existing technology landscape and evaluate current data integration frameworks. Assist in designing complex Big Data use cases leveraging AWS services. Documentation and Stakeholder Communication: Prepare and maintain comprehensive project documentation, adhering to quality guidelines and schedules. Work closely with Architects and Project Managers to provide accurate estimations, scoping, and scheduling assistance. Clearly communicate design decisions and conduct Proof-of-Concepts to validate new solutions before implementation. Process Improvement and Automation: Identify areas for process automation to improve efficiency and team productivity. Provide expert guidance and troubleshooting support to junior Data Engineers. Training and Knowledge Sharing: Develop and deliver technology-focused training sessions for the team, ensuring continuous knowledge sharing. Share expertise through Expert Knowledge Sharing sessions with Client Stakeholders. Essential Skills: AWS Services Expertise: In-depth knowledge of S3, EC2, EMR, Athena, AWS Glue, and Lambda. Big Data Technologies: Proficiency with Apache Spark, Databricks, and Big Data table formats such as Delta Lake (open-source). Data Warehousing: Strong understanding of data warehousing concepts and architectures. Programming Skills: Advanced programming skills in Python for building data pipelines. SQL Expertise: Strong SQL skills for data transformation, aggregation, and querying large datasets. ETL Workflow Development: Expertise in creating ETL workflows with complex transformations (e.g., SCD, deduplication, aggregation). Orchestration Tools: Familiarity with orchestration tools like Apache Airflow. MPP Databases: Experience with at least one MPP database (e.g., AWS Redshift, Snowflake, SingleStore). Cloud Databases: Exposure to cloud databases like Snowflake or AWS Aurora. Desirable Skills: Cloud Databases: Familiarity with Snowflake, AWS Aurora. Big Data Technologies: Experience with Hadoop and Hive. AWS Certification: Associate or Professional Level AWS Certification. Advanced Knowledge of Big Data Solutions: Exposure to big data tools and frameworks on cloud platforms. Qualifications: Experience: 7+ years of overall IT experience, with 5+ years specifically focused on AWS-related projects. Educational Background: Bachelor's degree in Computer Science, Engineering, or a related field (Master's degree is a plus). Technical Certifications: Demonstrated commitment to continuous learning through certifications or relevant training. Qualities: Strong analytical and problem-solving skills to deep dive into complex technical challenges.

Position: Cloud Data Engineer AWS Big Data Location: Bangalore, India Employment Type: Full-time Experience Required: 5 to 8 years Purpose of the Position: Join the Infocepts Cloud Data Architect Team as a Cloud Data Engineer and help design and implement cutting-edge big data solutions on AWS. You will leverage your expertise in EMR, Athena, PySpark, S3, AWS Lambda, and SQL to develop robust and scalable data platforms. Key Responsibilities: Technology Assessment and Design: Assess existing technology landscape and data integration frameworks. Design complex Big Data use cases using AWS services under guidance of the Architect. Support architectural decision-making by evaluating trade-offs in cost, performance, and durability. Recommend optimizations to existing data infrastructure. Documentation and Stakeholder Communication: Create project documentation adhering to quality and delivery standards. Collaborate closely with Architects and Project Managers for scoping, estimation, and planning. Present design decisions to technical and business stakeholders clearly. Conduct PoCs and design review sessions. Process Improvement and Automation: Identify and suggest opportunities for automation and process enhancements. Mentor junior engineers and support technical problem solving. Training and Knowledge Sharing: Prepare and deliver internal training on AWS and Big Data topics. Lead client knowledge sharing sessions and contribute to case studies. Essential Skills: In-depth experience with AWS services: S3, EC2, EMR, Athena, Glue, Lambda Familiarity with MPP databases like Redshift, Snowflake, or SingleStore Proficiency in Apache Spark and Databricks Strong programming skills in Python Experience building data pipelines using AWS and Databricks Knowledge of Big Data file formats such as Delta Lake Advanced SQL skills for large-scale data manipulation Hands-on experience with Apache Airflow or similar orchestration tools Strong understanding of ETL workflows and data warehousing concepts Desirable Skills: Cloud databases: AWS Aurora, Snowflake Experience with Hadoop and Hive AWS Certifications (Associate or Professional level) are a plus Qualifications: Bachelor s degree in Computer Science, Engineering, or related field (Master s preferred) Overall 5+ years of IT experience with at least 3 years in AWS Big Data projects Ongoing learning and technical certifications are strongly encouraged Key Qualities: Strong problem-solving and analytical thinking Self-driven with a passion for emerging data technologies Excellent communication and client presentation skills Ability to work in cross-functional, agile teams Apply now to be part of a high-impact data transformation team working on large-scale cloud data projects! Qualification : Bachelors degree in Computer Science, Engineering, or related field (Masters preferred)

Analyst I - Infrastructure Services Location: Bangalore Job Description: The Analyst I - Infrastructure Services will be responsible for providing technical support, assisting with infrastructure-related tasks, and contributing to the monitoring, troubleshooting, and documentation of infrastructure systems. This position requires a proactive individual who can work collaboratively with the team to address infrastructure challenges and continuously improve technical skills. Essential Job Functions: Provide technical support in infrastructure services, responding to issues, and assisting with various infrastructure tasks. Contribute to infrastructure projects and tasks under supervision. Participate in monitoring and basic troubleshooting of infrastructure systems to ensure optimal performance. Collaborate with team members to address infrastructure-related challenges and meet departmental goals. Assist in the development and maintenance of infrastructure documentation, including incident logs, records, and system configurations. Continue to develop and enhance technical skills and stay up-to-date with emerging industry technologies. Apply problem-solving abilities to resolve infrastructure-related issues efficiently. Follow best practices and standards in the delivery of infrastructure services. Basic Qualifications: Bachelor s degree in a relevant field (e.g., Computer Science, Information Technology) or equivalent combination of education and experience. Typically, 2+ years of relevant work experience in infrastructure technology or technical support. Proven experience in infrastructure technology analysis. Proficiency in data analysis and problem-solving techniques. A continuous learner, eager to stay informed about industry advancements and emerging technologies. Other Qualifications: An advanced degree in a relevant field is a plus. Relevant certifications such as CompTIA Security+, Cisco CCENT, or AWS Certified Solutions Architect are highly beneficial. This position offers opportunities for growth and development within a dynamic and supportive team environment. If you're ready to enhance your infrastructure services career in a forward-thinking company, we encourage you to apply! Qualification : Bachelors degree in a relevant field (e.g., Computer Science, Information Technology) or equivalent combination of education and experience.

Position: AWS serverless developer Job Description: Join ArrowSphere Cloud and be part of an exciting platform development project! ArrowSphere Cloud is a cloud delivery and management platform offered by Arrow ECS. ArrowSphere simplifies the complexity of providing multi-cloud software and solutions. The platform integrates with major cloud providers such as Microsoft, AWS, and IBM for 27 Arrow Entities. As part of the R&D team, you'll join a team of 100+ people. You'll collaborate with cross-functional teams including the chief architect, developers, and functional analysts. As an AWS serverless developer, you will be responsible for designing and implementing features running on AWS for our award winning ArrowSphere Cloud platform. Required Skills: Practical experience with AWS Services such as: API gateway, Lambda, DynamoDB, Aurora, Athena, S3, Cognito, Opensearch, CloudWatch, CloudWatch Insights, Kinesis Firehose, SAM, CloudFormation Proficiency on monitoring tools such as Kibana and/or Grafana is a plus Strong programming skills, including Python, Node.js, and TypeScript. Ability to design and implement scalable, highly available cloud architectures. Understanding of monitoring best practices and incident management. Strong problem-solving and debugging skills. Ability to work independently and as part of a team in a dynamic environment. Experience: Candidates must possess a minimum of 5 years of professional experience in the web development field. Within this period, at least 3 years should be dedicated specifically around AWS environment. Location: IN-KA-Bangalore, India (SKAV Seethalakshmi) GES Time Type: Full time Job Category: Information Technology

Job Title: Senior Python Expert Experience: 3 to 8 years Overview of the Role: This role sets the benchmark for team software development processes and deployment procedures, while actively contributing to establishing best practices and methodologies within the team. Responsibilities: Develop backend services using Python Flask or similar web frameworks. Design and maintain data and pipeline management frameworks using open-source technologies such as Hadoop, Hive, Spark, HBase, Kafka Streaming, Tableau, Airflow, and cloud-based data engineering services like S3, Redshift, Athena, Kinesis. Design and develop efficient CRUD operations for large datasets with millions of records. Collaborate with teams to build and maintain innovative, reliable, secure, and cost-effective distributed solutions. Own and deliver complex application components within defined timelines. Ensure quality delivery using best practices in API development, performance, and scalability. Participate in customer communication, presentations, and resolution of critical issues. Contribute to architecture, feature set, and design decisions. Proactively recognize and address requirement inconsistencies and project risks. Break down work effectively and estimate accurately. Serve as a technical mentor and role model within the team. Required Skills: Strong knowledge of Python and a web framework like Flask. Experience with AWS services such as EC2, S3, Lambda, Step Functions, Glue, SNS, SQS, Secret Manager, and CodeBuild/CodePipeline. Solid understanding of SQL, including query writing, optimization, and database interaction tools. Experience with API development (RESTful services, Postman, API Gateway). Strong coding, debugging, and problem-solving skills. Understanding of architectural trade-offs and data engineering principles (data acquisition, ingestion, distributed processing, high availability). Ability to independently handle delivery of complex projects. Excellent team management and individual contributor skills. Good to Have Skills: Experience with Big Data frameworks like Hadoop and Spark. Knowledge of AWS Aurora. Familiarity with pip, setuptools, etc. Education: B.E./B.Tech, MCA, M.E./M.Tech.

Job Title: Sr. Engineering Manager - Data Engineering Level: L5 Experience: 13-16 years Overview We are seeking an experienced Engineering Manager with a strong background in Data Engineering, including ETL/ELT processes and cloud-based data platforms such as Snowflake. The ideal candidate will lead and mentor a team of data engineers, drive data architecture initiatives, and work closely with cross-functional stakeholders to ensure our data infrastructure supports evolving business needs. Key Responsibilities Team Leadership: Lead, mentor, and develop a high-performing data engineering team, fostering a culture of collaboration, innovation, and continuous learning. Data Pipeline Development: Oversee the design, development, and maintenance of robust ETL/ELT pipelines to ingest, transform, and process data at scale. Cloud Data Infrastructure: Drive the architecture and implementation of cloud-based data solutions, especially leveraging Snowflake, ensuring scalability, security, and reliability. Cross-Functional Collaboration: Partner with product managers, analysts, data scientists, and other business stakeholders to gather requirements and prioritize engineering efforts that deliver the most impact. Architecture and Design: Develop and enforce data architecture standards for high-performance data warehousing, ensuring seamless data integration across diverse sources. Performance Optimization: Identify and resolve performance bottlenecks, focusing on query optimization, cost management, and resource efficiency. Data Quality & Governance: Define and implement data quality frameworks and governance practices, ensuring data consistency and reliability across all pipelines. Innovation & Strategy: Stay informed on emerging data technologies and industry best practices, continuously improving processes and aligning solutions with long-term data strategies. Required Skills 8+ years of hands-on experience in data engineering, including 5+ years in a leadership role. Strong expertise in ETL/ELT processes and hands-on experience with tools like Talend, Informatica, or similar platforms. Deep proficiency in Snowflake or comparable cloud data platforms such as Redshift or BigQuery. Advanced SQL skills, including query optimization, performance tuning, data modeling, and schema design. Hands-on experience with Python or Java for data processing and automation. Knowledge of data governance, compliance standards, and data security best practices. Excellent communication and project management skills, with the ability to prioritize and manage multiple projects in parallel. Preferred Skills Exposure to Big Data technologies such as Spark, Hadoop, Databricks, Synapse, etc. Experience with workflow orchestration tools like Apache Airflow or AWS Step Functions. Familiarity with CI/CD pipelines and DevOps practices within data engineering. Experience working with BI tools like Tableau or Power BI, and reporting integrations.

Software Engineer - Golang (Microservices Development) Meet the Team At Cisco Secure Common Services Engineering, we are a team of cybersecurity experts and innovative engineers supporting Cisco Security products and developers. Our mission is to build secure, scalable, and seamless solutions that power the Cisco Security Cloud. As we continue to expand, we seek highly skilled engineers who are passionate about designing and building cutting-edge microservices that enhance security and performance. Your Impact As a Software Engineer, you will be responsible for developing, optimizing, and maintaining highly available, containerized microservices. You will work in an agile, collaborative environment, driving innovation while ensuring reliability and scalability. Key Responsibilities: Design, develop, and maintain microservices using Golang and REST APIs. Ensure high availability, scalability, and reliability of platform components. Optimize and enhance CI/CD pipelines to streamline deployments. Implement authentication and authorization mechanisms using OAuth and OIDC. Work with AWS cloud services such as DynamoDB, API Gateway, and Lambda. Conduct Proof of Concepts (PoCs) to evaluate and integrate new technologies. Write clean, efficient, and well-documented code following best practices. Minimum Qualifications 6+ years of experience in Golang-based microservices development. Strong expertise in RESTful API development and containerization (Docker, Kubernetes). Experience with AWS services, particularly DynamoDB, API Gateway, and Lambda. Knowledge of CI/CD processes and tools such as Terraform, Jenkins, and GitHub Actions. Understanding of OAuth, OIDC, and authentication mechanisms. Preferred Qualifications Experience with cloud-native architecture and distributed systems. Strong problem-solving skills and ability to debug complex issues. Excellent communication skills, with the ability to collaborate across teams. Passion for security, automation, and performance optimization. At Cisco, we innovate, collaborate, and grow together. We foster an inclusive and diverse work culture where everyone belongs. Cutting-Edge Work: Be part of a team shaping the future of cloud security and microservices. Career Growth: Learn, develop, and advance in an employee-first environment. Giving Back: Enjoy 80 hours of paid volunteer time annually to support causes you care about. Inclusive Culture: Join 30+ Inclusive Communities that foster belonging and collaboration. Join Cisco and be part of the future of secure, cloud-native development! Take the next step. Be you, with us!

Join us as a Principal Software Engineer on our Platform Engineering team in Bengaluru to do the best work of your career and make a profound social impact. What you ll achieve As a Principal Software Engineer, you will be responsible for developing sophisticated systems and software based on the customer s business goals, needs and general business environment. You will work with product management, other engineering teams, customer success and support on developing cutting edge new product features and enhancements across various areas of Boomi offerings. You will: Be a key member of an Agile team, collaboratively realising features through the software development lifecycle Guide and participate in design, development, unit testing, and deployment of Boomi products and services including enhancements and/or resolution of any issues that may be reported Investigate and resolve complex customer issues Work independently with a minimal level of guidance from technical leadership Mentor other Boomi engineers, including design collaboration and code reviews Research, validate, and recommend technology decisions for new features Take the first step towards your dream career with Boomi Essential Requirements Ability to learn new tools, languages, and operating systems with some training and on-the-job experience Experience in software development, including the use of some IDE with a solid understanding of object-oriented design concepts for delivering and maintaining a software product Experience with Java, source control systems, continuous integration tools Experience with agile collaboration tools, such as JIRA and Confluence Experience with Web Services technologies including REST, SOAP, and WSDL Desirable Requirements 10+ years of experience in software development Experience using Linux/Unix environments Experience using Message brokers such as Service Bus, AWS SQS, AWS SNS, Kinesis, and Kafka. Experience designing well-defined Restful APIs, API documentation tools like openAPI, testing tools like Postman and SOAP UI Experience using Devops tools like Jenkins and other CI/CD tools Familiarity with streaming technologies such as Kafka and Pulsar Familiarity with highly scalable, high throughput web applications and backend systems Familiarity using AWS technologies such as Cloudformation, S3, ECS, EKS, and EC2 Familiarity with SQL, relational database systems, and ORM tools like Hibernate