Google Kubernetes Engine GKE Jobs in Bengaluru

Job Title: Assistant Manager Performance Marketing Location: Bangalore Department: Performance Marketing Employee Type: Full-time Experience Required: 3 6 years Position Overview We are seeking a results-oriented Assistant Manager - Performance Marketing to lead our efforts across Google advertising (Web & App), SEO, ASO, and website performance optimization. This role is crucial to driving both paid and organic user growth, enhancing digital discoverability, improving user experience, and boosting conversion rates. The ideal candidate combines strategic vision with hands-on execution skills and has deep expertise in performance marketing, search optimization, and mobile growth strategies. Key Responsibilities Google Campaigns (Web & App): Strategize, execute, and optimize Google Ads campaigns across platforms including UAC, Performance Max, Search, and TROAS. Manage cross-channel ad campaigns to acquire high-intent users for both websites and mobile apps. Define audience segments, manage bidding strategies and budgets, and conduct creative testing to improve engagement and ROI. Collaborate with creative, product, and data teams to deliver targeted, performance-driven campaigns. Search Engine Optimization (SEO): Own and evolve the SEO roadmap to enhance organic rankings, traffic, and search visibility. Conduct technical, on-page, and off-page SEO audits and coordinate implementation with content and development teams. Develop content strategies aligned with keyword research, user intent, and business goals. Track and analyze key SEO metrics using tools such as Google Search Console, SEMrush, Ahrefs, and Screaming Frog. Hands-on experience managing CMS and web hosting platforms. App Store Optimization (ASO): Lead ASO initiatives for the Google Play Store to increase app visibility and installs. Optimize app metadata including titles, descriptions, keywords, screenshots, and videos based on data insights. Run A/B tests using Store Listing Experiments and ASO tools like AppTweak or SensorTower. Monitor app store rankings, user reviews, and competitor performance to inform strategy. Experience: 4+ years in digital marketing with proven success in Google Ads, SEO, ASO, and website performance optimization. Expertise: Deep understanding of web and app acquisition strategies, Google Ads platforms (including Firebase and GA4), and ASO/SEO tools. Analytical Skills: Strong ability to interpret data and translate insights into actionable marketing strategies. Technical Knowledge: Familiarity with web technologies, mobile user acquisition funnels, and performance measurement tools. Certifications: Google Ads and Google Analytics certifications preferred. Additional Tools: Experience with Firebase, Appsflyer or other Mobile Measurement Partners (MMPs), Google Play Console, Google AdMob, and Adsense. Soft Skills: Excellent communication, collaboration, and project management abilities. If you re passionate about driving growth through performance marketing and thrive in a fast-paced environment, we d love to connect with you.

Job Title: Senior Product Engineer Location: Bengaluru, Karnataka, India Department: MathCompany India (Product Engineering) Experience: 4.5 to 7 years About TheMathCompany TheMathCompany (MathCo ) is a global Enterprise AI and Analytics company, empowering Fortune 500 and Global 2000 companies with custom-built AI products and platforms. We blend deep domain knowledge, analytics, and cutting-edge technology to solve real-world business challenges. Our proprietary platform NucliOS powers smart, scalable solutions, enabling rapid and sustainable transformation. Join our vibrant team of engineers, data scientists, and designers who are building transformative enterprise products that deliver 3x 5x ROI within their first year of launch. Role Overview As a Senior Product Engineer, you ll play a key role in developing, maintaining, and optimizing full-stack web applications. This is a hands-on role where you'll be responsible for designing both backend services and frontend interfaces, while ensuring high-quality, scalable, and secure performance. You ll collaborate cross-functionally with product managers, designers, and fellow engineers to deliver enterprise-grade software products. This is a great opportunity to contribute to impactful solutions while expanding your technical leadership in a high-growth, agile environment. Key Responsibilities Full Stack Development Design, build, and manage REST APIs, backend services, and deployment pipelines. Develop responsive UI components using modern JavaScript frameworks (e.g., React, Angular, Vue). Architect and manage application databases, handling data modeling, integration, and optimization. Implement secure authentication and authorization protocols (e.g., OAuth2, OIDC, SAML). Own the end-to-end development lifecycle from concept through to deployment and support. Product Development & Collaboration Partner with product managers and UI/UX designers to convert requirements into scalable technical solutions. Drive product performance and usability by identifying opportunities for optimization. Act as a key technical stakeholder, participating in product roadmap discussions and sprint planning. Code Quality & Testing Write clean, maintainable, and efficient code following SOLID principles and industry best practices. Conduct peer code reviews and mentor junior engineers. Develop and maintain unit tests, integration tests, and ensure comprehensive test coverage. Contribute to CI/CD pipelines and participate in deployment and infrastructure automation. Technical Skills Required 4.5 7 years of experience in full-stack product development. Strong programming in Python or Node.js (bonus: Rust/Go). Advanced front-end development with JavaScript, HTML, CSS, and frameworks like React, Vue, or Angular. Strong grasp of object-oriented design, SOLID principles, and modern design patterns. Experience designing and implementing relational (PostgreSQL, MySQL) and NoSQL (MongoDB) databases. Proficient in cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with infrastructure tools: Docker, Kubernetes, Terraform, CloudWatch. Comfortable using version control and project tools like GitHub, Azure DevOps, and JIRA. Soft Skills & Work Style Strong problem-solving mindset and high attention to detail. Effective collaborator and communicator, both within the engineering team and cross-functionally. Familiarity with Agile methodologies (SCRUM), sprint cycles, and backlog grooming. Ability to juggle multiple tasks and deliver under tight deadlines in a fast-paced environment. Work on innovative products delivering real ROI for Fortune 500 companies. Be part of a people-first culture that values transparency, curiosity, and collaboration. Accelerate your career in an organization that rewards initiative and impact. Get access to state-of-the-art tools, resources, and learning programs. Apply now and join us in redefining how enterprise software gets built!

AI-ML Architect Bangalore, India Location: Bangalore Experience: 10 to 15 Years Role: AI-ML Architect Industry: IT Software / Artificial Intelligence & Machine Learning Job Overview: We are seeking a highly experienced AI-ML Architect to lead the design and implementation of advanced AI and Machine Learning systems. The ideal candidate will have extensive expertise in deep learning frameworks, system-level optimization, and scalable infrastructure, driving innovation in AI across cloud and distributed environments. Key Responsibilities: Architect, develop, and optimize deep learning and neural network applications on Windows and Linux platforms Build, train, and fine-tune advanced AI/ML models using frameworks such as PyTorch, TensorFlow, and Caffe Optimize neural network performance at the kernel level for scalability across diverse hardware architectures Lead development and deployment of AI models using techniques like Reinforcement Learning, Transfer Learning, and Federated Learning Design and develop web services and REST APIs with strong proficiency in Python and C/C++ Automate AI/ML model deployment, management, and scaling using Docker, Kubernetes, and MLOps best practices Work with hardware acceleration technologies such as OpenVINO, OneAPI DPC++, OpenCL, and CUDA to enhance performance Design and implement microservices-based AI infrastructure supporting distributed cloud environments Collaborate with cross-functional teams to integrate AI solutions with enterprise cloud architectures Required Skills & Experience: 10+ years of experience in system software development on Windows or Linux Proven expertise with deep learning frameworks: PyTorch, TensorFlow, Caffe Strong background in Reinforcement Learning, Transfer Learning, and Federated Learning Proficient in Python and C/C++ programming Hands-on experience with RESTful API development Experience automating deployments using Docker, Kubernetes, and MLOps tools Knowledge of GPU and accelerator programming: OpenVINO, CUDA, OpenCL preferred Strong understanding of cloud and distributed computing infrastructures Experience adopting microservices architecture for scalable AI platforms Preferred Qualifications: Advanced degree in Computer Science, AI, Machine Learning, or related fields Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Experience in leading AI teams and mentoring architects and engineers Lead AI innovation on cutting-edge projects with global impact Collaborate in a high-growth, fast-paced environment fostering continuous learning Work with advanced AI infrastructure and state-of-the-art hardware acceleration technologies Opportunity to shape AI architecture and influence strategic technology decisions Qualification : Advanced degree in Computer Science, AI, Machine Learning, or related fields

Cloud Architect Bangalore, India Location: Bangalore (Bengaluru) Experience: 8 to 15 Years Industry: IT Software / Cloud Computing Job Summary: We are seeking a seasoned Cloud Architect with deep expertise in designing and implementing secure, scalable cloud solutions across public and private cloud platforms. The ideal candidate will have strong knowledge of enterprise application and integration patterns, cloud-native microservices, and security architecture. Key Responsibilities: Architect and design cloud solutions leveraging AWS, Microsoft Azure, and Google Cloud Platform (GCP) Develop microservices-based applications using Docker and Kubernetes, and deploy them on cloud platforms Define security architectural requirements, including threat modeling, identity and access management, PKI, and secrets management Ensure cloud environments adhere to security protocols, compliance standards, and best practices for authentication and authorization Work with a wide range of cloud services including storage, networking, and security components Apply knowledge of Big Data ecosystems such as Hadoop and NoSQL databases to design scalable data processing architectures Deploy and manage cloud infrastructure using Terraform for infrastructure as code (IaC) Utilize configuration management tools like Puppet, Chef, and continuous integration tools such as Git and Jenkins Collaborate within Agile teams to deliver cloud architecture solutions efficiently Stay updated on emerging open-source technologies and integrate them into cloud architectures when applicable Required Skills & Qualifications: Extensive experience with both public and private cloud technologies Strong understanding of Enterprise Application Patterns and Integration Patterns Hands-on experience with containerization, microservices, and orchestration tools (Docker, Kubernetes) In-depth knowledge of cloud security, including threat modeling and compliance requirements Proficiency in managing cloud infrastructure on AWS, Azure, and/or GCP Familiarity with Big Data platforms and NoSQL databases Skilled in Infrastructure as Code (IaC) tools, especially Terraform Experience with automation and configuration management tools like Puppet, Chef, Git, and Jenkins Comfortable working in Agile development environments Preferred Qualifications: Bachelor s or Master s degree in Computer Science, Information Technology, or related field Relevant cloud certifications such as AWS Certified Solutions Architect, Azure Solutions Architect Expert, or Google Cloud Professional Architect Strong communication skills to articulate complex cloud architectures to diverse stakeholders Lead the design of innovative, secure, and scalable cloud architectures Work with cutting-edge cloud and container technologies in a dynamic environment Opportunity to grow professionally with access to training and certifications Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or related field

Job Title: Senior Full Stack Engineer Location: Bengaluru, India Employment Type: Full-time Department: Engineering About Commure At Commure, we empower healthcare providers by reducing administrative burdens and enabling more time for patient care. Our suite of software and hardware solutions including AI-powered assistants, RTLS, and workflow automation are used by over 250,000 clinicians across hundreds of care sites. From clinical documentation and staff safety to patient engagement and remote monitoring, we're transforming healthcare through technology. With the industry entering a pivotal phase of AI-driven transformation, Commure is leading the charge. About the Role As a Senior Full Stack Engineer on our Patient Experience Platform team, you'll design and build intuitive, secure, and scalable web applications that enhance patient engagement and streamline healthcare workflows. This is a high-impact role contributing to mission-critical projects with real-world outcomes. Key Responsibilities Design and develop full-stack applications that connect patients and healthcare providers. Lead architectural decisions to scale and evolve the platform. Work closely with product, design, QA, and DevOps teams to gather requirements, define solutions, and deliver features. Optimize system performance, reliability, and observability using logging, monitoring, and tracing tools. Maintain cloud infrastructure using Infrastructure-as-Code (IaC) for reproducibility and reliability. Enhance alerting systems to reduce noise and improve incident response. Develop secure authentication and authorization systems that comply with industry standards. Build and maintain CI/CD pipelines, supporting a robust and compliant deployment process. Participate in on-call rotations and production support. Document processes, configurations, and troubleshooting steps for internal knowledge sharing. Promote a culture of engineering excellence through code reviews, best practices, and mentorship. Qualifications Required Bachelor s or Master s degree in Computer Science, Engineering, or a related field. 3+ years of experience in full-stack software development. Proficiency in: Front-end: TypeScript, React, Next.js Back-end: Python and Node.js Cloud Platforms: AWS, GCP, or Azure CI/CD: GitHub Actions, Google Cloud Build Version Control: Git Containerization: Docker and Kubernetes Monitoring/Logging: Cloud-native tools and observability practices Experience with production incident support and on-call rotations. Strong communication, collaboration, and leadership skills. Preferred Familiarity with serverless architectures and microservices. Knowledge of healthcare data standards like HL7, FHIR, and HIPAA compliance. Experience optimizing performance for large-scale distributed systems. Why Join Commure + Athelas Mission-Driven Impact: Transforming healthcare, the largest sector in the country. Top-Tier Investors: Backed by General Catalyst, Sequoia, Y Combinator, Lux, and more. Exceptional Growth: Combined organizations growing 500% YoY, with Series D funding and strong runway. Comprehensive Benefits: Competitive compensation, flexible PTO, medical/dental/vision insurance, parental leave (location-dependent). Join us and help power the future of patient care. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field.

Job Title: Senior Software Engineer Customer Solutions Location: Bengaluru, India Employment Type: Full-time Department: Engineering About Commure Commure is revolutionizing healthcare with AI-powered technologies designed to eliminate administrative overhead and give clinicians more time with patients. Our platform combines advanced LLM AI, RTLS, and workflow automation to streamline clinical operations, improve patient engagement, and enhance care delivery. We support 250,000+ clinicians across hundreds of care sites nationwide and we re just getting started. If you're passionate about building life-changing solutions in one of the world s most vital industries, now is the time to join. About the Role As a Senior Software Engineer on the Customer Solutions team, you ll be instrumental in building and customizing applications on top of our Patient Experience Platform to address client-specific needs. Your work will directly impact how healthcare providers interact with our technology and serve patients better. Key Responsibilities Translate business and client requirements into scalable, maintainable technical solutions. Design, develop, and integrate customized applications and services using our core platform. Collaborate with internal teams and customers to prioritize features and maintain a customer-focused development backlog. Build long-term client relationships through technical leadership and delivery excellence. Implement and maintain observability through logging, monitoring, and alerting systems. Apply SRE and DevOps practices to improve stability and incident response. Coordinate testing and quality assurance activities in collaboration with QA teams. Stay informed on healthcare tech trends and integrate innovations into the platform. Participate in client-facing meetings to advise on feasibility, risks, and technical trade-offs. Mentor junior engineers and contribute to a strong engineering culture. Required Qualifications Bachelor's or Master s degree in Computer Science, Engineering, or a related field. 3+ years of professional software development experience. Frontend: React, Next.js, TypeScript Backend: Python, Node.js Cloud: Proficiency in AWS, Azure, or GCP with experience in cloud-native architectures CI/CD: Familiarity with tools like GitHub Actions, Google Cloud Build, etc. Infrastructure: Experience with Docker, Kubernetes, and IaC principles Monitoring & Observability: Implemented logging, tracing, and alerting systems Production Support: Experience with on-call rotations and incident response Strong communication and collaboration skills with cross-functional teams Experience working directly with clients to deliver technical solutions Understanding of APIs, webhooks, and third-party system integrations in healthcare Preferred Skills Familiarity with HIPAA, FHIR, HL7, and other healthcare standards Understanding of data privacy, compliance, and security best practices Strong problem-solving abilities and adaptability in dynamic environments Experience in client support, customization, or professional services engineering is a plus Why You ll Love Working at Commure + Athelas Mission-Driven Work Help transform healthcare through meaningful technology. Elite Backing Backed by General Catalyst, Sequoia, Y Combinator, and more. Explosive Growth 500%+ YoY growth pre-merger and Series D funded. Competitive Benefits Flexible PTO, health insurance, parental leave, and more (location-specific). Be part of the future of healthcare. Join Commure and help build intelligent, scalable systems that truly matter. Qualification : Bachelor's or Masters degree in Computer Science, Engineering, or a related field.

SEO Specialist Location: Bangalore Experience: 3-4 Years Company: KredX About KredX Since 2015, KredX has been revolutionizing working capital solutions into a comprehensive financial ecosystem. We are India s leading integrated supply chain finance provider, holding both RBI s TReDS license and IFSCA s ITFS license making us one of the few double-licensed entities in the country. Our core platforms include: DTX (Domestic Trade Exchange): RBI-licensed platform enabling MSMEs to access early payments through invoice discounting. GTX (Global Trade Exchange): IFSCA-licensed platform offering efficient cross-border trade finance. CMS (Cash Management Solutions): AI-powered automation streamlining enterprise financial operations globally. DTX (dtxindia.in) is powered by KredX and supports MSMEs by offering quick, safe, and cost-effective working capital solutions, leveraging advanced finance automation technologies. Role Overview We re looking for an SEO Specialist to enhance our organic search presence and improve overall search engine rankings. The role blends strategic planning with tactical execution, focusing on content alignment, technical SEO health, and performance optimization. Key Responsibilities Develop and execute effective SEO strategies to increase organic traffic and improve search rankings. Conduct comprehensive keyword research to guide and optimize content strategies. Optimize on-page SEO elements such as metadata, headers, internal linking, and site architecture. Identify and resolve technical SEO issues by collaborating closely with product and tech teams. Monitor, analyze, and report on SEO performance metrics and trends, providing actionable insights. Support organic growth efforts across social media by optimizing posts and tracking engagement metrics. Keep abreast of search engine algorithm updates and evolving SEO best practices. Requirements 2 to 4 years of hands-on SEO experience. Strong knowledge of on-page, off-page, and technical SEO principles. Proficiency in SEO tools such as Google Search Console, SEMrush, Ahrefs, etc. Experience in content optimization, link-building strategies, and website structural improvements. Ability to collaborate effectively across content, product, and technical teams. Basic understanding of HTML and website coding is a plus.

Customer Success Engineer II Technical Support | Cloud & SaaS Location: Bangalore, India Job Type: Full-Time | Customer Success | Cloud Technology | Technical Support About Rubrik s Customer Support & Success Team Rubrik s Global Customer Support and Success Organization is committed to delivering an outstanding post-purchase experience. Our team of seasoned experts ensures smooth deployment, adoption, and continued usage of Rubrik s cloud data management and Zero Trust Data Security solutions. We handle complex technical support cases, guide customers through SaaS product adoption, and provide strategic consultation across a wide range of cloud platforms, data security tools, and enterprise IT ecosystems. Our engineers work closely with cross-functional teams, acting as trusted advisors and primary technical contacts, to maintain high standards of data protection, incident resolution, and customer success. About the Role We are looking for a highly skilled Customer Success Engineer II to join our fast-paced support team. In this role, you will provide enterprise-level technical support for Rubrik s data security solutions via phone, web, chat, and email. You will troubleshoot complex technical issues, support diverse cloud deployments, and deliver excellent service across hybrid infrastructure environments. Key Responsibilities Handle technical support tickets ranging from basic queries to advanced troubleshooting across cloud platforms and virtualized environments. Independently diagnose and resolve customer issues involving snapshots, replication, backup and recovery, data management, and infrastructure. Utilize cloud infrastructure knowledge to provide guidance and recommend best practices (AWS, Azure, GCP). Collaborate with internal teams such as Engineering and Escalations to resolve critical incidents. Deliver high-quality customer communication, ensuring transparency and issue resolution from start to finish. Author and contribute to technical documentation, including knowledge base articles, FAQs, and deployment guides. Continuously improve case resolution processes and provide insights into recurring issues. Analyze and report root causes; work with developers to file bugs and enhance product reliability. Share feedback and insights with product teams to drive platform improvements and enhance customer satisfaction. Support automation, DevOps, and microservices architecture as part of troubleshooting modern enterprise stacks. Required Skills & Experience 3+ years in a technical support, DevOps, or cloud infrastructure role supporting enterprise environments. Strong knowledge of VMware, Linux, Kubernetes, and cloud platforms like AWS, Azure, and Google Cloud Platform (GCP). Hands-on experience with Office 365 APIs, Microsoft SQL databases, scripting languages such as Python or Perl, and automation tools. Deep understanding of SaaS systems, cloud deployment models, and data protection principles. Demonstrated problem-solving skills with a passion for learning and adapting to new technologies. Ability to write clear technical documentation and communicate complex concepts to diverse audiences. Bachelor's degree in Computer Science, Information Technology, or related technical field. Preferred Qualifications Experience in supporting data backup and recovery, storage solutions, or cybersecurity tools. Exposure to Zero Trust Security models, data compliance standards, or incident management workflows. Strong collaboration skills with internal development, QA, and customer success teams. Previous experience contributing to internal knowledge systems or customer-facing documentation. At Rubrik, we are redefining data security and resilience. Our award-winning platform, Rubrik Security Cloud, powered by machine learning, protects enterprise, cloud, and SaaS environments from ransomware, cyber threats, and downtime. You ll work with passionate professionals who are dedicated to helping businesses secure their critical data and recover quickly in times of crisis.

Senior Customer Success Engineer I Bangalore (EST Shift, Hybrid) Location: Bangalore, India Work Model: Hybrid (3 days office, 2 days remote) Shift Timing: 8:30 PM 5:30 AM IST (EST hours) About Rubrik s Global Customer Support & Success Team Rubrik s Global Customer Support and Success Organization is dedicated to delivering a world-class post-purchase experience. Our team provides expert post-deployment technical support for a broad spectrum of technologies and cloud platforms. We ensure timely activation and adoption of Rubrik s cutting-edge SaaS data management and security products. As a Senior Customer Success Engineer, you will act as a trusted advisor and primary point of contact for our customers and partners, collaborating closely with cross-functional teams to maximize customer value. In today s data-driven world, Rubrik s Customer Support Team is vital to securing customer data. Our team s deep technical expertise, customer-centric approach, and rapid response capabilities safeguard data availability and integrity, no matter the challenges. Key Responsibilities Deliver enterprise-level technical support via phone, web, email, and chat, handling a wide range of customer inquiries and complex cloud deployment issues. Efficiently manage all levels of support cases from basic questions to advanced technical troubleshooting. Analyze customer problems using structured troubleshooting techniques to identify root causes and implement effective solutions. Independently diagnose and resolve issues within the customer environment, escalating unresolved cases appropriately. Provide expert advice on cloud infrastructure services, best practices, and Rubrik product usage. Troubleshoot and resolve escalated customer issues with urgency and precision. Ensure detailed case documentation and timely issue resolution, maintaining high levels of customer satisfaction. Collaborate with internal teams such as engineering and escalations to facilitate clear communication and problem resolution. Contribute to Rubrik s technical knowledge base by developing guides, FAQs, and deployment documentation. Produce technical designs and documentation related to cloud deployment architectures. Required Experience & Skills 6+ years of experience in enterprise technical support, DevOps, or similar roles with expertise in troubleshooting snapshots, replication, data recovery, cloud deployments, networking, and VMware administration. Strong problem-solving skills with the ability to analyze and resolve complex technical issues. Proficient in VMware, Linux, Kubernetes, Google Cloud Platform, AWS, Azure, Office 365 API, database systems (preferably MS SQL), scripting (Python, Perl), automation, microservices architecture, SaaS platforms, and cloud app management. Hands-on experience with cloud deployment technologies and tools. Ability and willingness to continuously learn and adapt across a broad technology stack. Comfortable reporting bugs and collaborating with engineering to recreate and resolve issues. Bachelor s degree in Computer Science, Engineering, or related field. Rubrik (NYSE: RBRK) is on a mission to secure the world s data. Powered by Zero Trust Data Security and advanced machine learning, Rubrik Security Cloud protects data across enterprise, cloud, and SaaS environments. We enable organizations to maintain data integrity, ensure availability despite adverse conditions, monitor risks continuously, and recover quickly from cyberattacks and operational disruptions. Join us and help shape the future of cloud data management and cybersecurity.

Senior Customer Success Engineer II Bangalore (EST Shift) Location: Bangalore, India Shift: EST Hours About Rubrik s Global Customer Support & Success Team Rubrik s Global Customer Support and Success Organization is dedicated to delivering a world-class post-purchase experience. Our team provides comprehensive post-deployment technical support across a diverse set of technologies and cloud environments. We ensure timely activation and adoption of Rubrik s SaaS products and technologies to deliver maximum value. As a vital member of this team, you will serve as a trusted advisor and key point of contact for customers and partners, working closely with cross-functional teams to ensure customer success. In a data-driven world, Rubrik s Customer Support Team is the backbone of data security strategies, leveraging deep technical expertise in data management, protection, and recovery to swiftly resolve complex issues while maintaining exceptional customer experience. Role Overview As a Senior Customer Success Engineer II, you will provide enterprise-level technical support to customers through multiple channels including phone, web, email, and chat. You will deliver effective solutions to technical and non-technical users while supporting a broad range of cloud and technology deployments. Key Responsibilities Manage and resolve technical support cases from basic queries to advanced troubleshooting involving complex issues. Analyze and isolate root causes using structured troubleshooting and problem analysis techniques. Independently diagnose and resolve problems within the customer s environment, escalating when necessary. Provide expert advice on cloud infrastructure services and best practices. Research, troubleshoot, and resolve escalated customer issues promptly and accurately. Ensure detailed documentation, recording, and closure of all cases. Collaborate with internal teams (escalations, engineering, etc.) to facilitate clear communication and resolution. Contribute technical content to Rubrik s Deployment Guides, Knowledge Base, and FAQs. Demonstrate strong case management skills to proactively resolve issues and maintain high customer satisfaction. Create technical designs and documentation related to cloud deployment architectures. Required Experience & Skills 8+ years of experience in enterprise technical support, DevOps, or related fields. Expertise in troubleshooting advanced issues such as snapshots, replication, data recovery, cloud deployments, networking, and VMware administration. Strong problem-solving skills with ability to work independently. Proficient knowledge of VMware, Linux, Kubernetes, Google Cloud Platform, AWS, Azure, Office 365 API, databases (preferably MS SQL), scripting languages (Python, Perl), automation, microservices architecture, SaaS systems, and cloud application management. Hands-on experience with cloud deployments and infrastructure. Ability and willingness to learn and adapt across a broad technology stack. Comfortable filing bugs and collaborating with engineering teams to reproduce and resolve issues. Bachelor s degree in Computer Science, Engineering, or a related field. Rubrik (NYSE: RBRK) is committed to securing the world s data with its industry-leading Zero Trust Data Security approach. Our Security Cloud, powered by machine learning, protects data across enterprises, clouds, and SaaS applications. We empower organizations to maintain data integrity, ensure availability during disruptions, continuously monitor risks, and quickly restore business operations in the event of cyberattacks or failures. Qualification : Bachelors degree in Computer Science, Engineering, or a related field.

Platform Solution Architect Job Overview As a Platform Solutions Architect, you will serve as a pre-sales specialist, supporting the broader sales organization with deep technical knowledge across database and cloud workloads. This means working with customers and prospects to educate them on how Rubrik protects and manages data. Additionally, the Solution Architect will have an active role in providing real-world feedback to product teams to enhance the product, testing new features before they are released, and championing new features within the sales team. The Solutions Architect provides both immediate and long-term impact with their technical knowledge and position of influence with prospects and customers. Key Responsibilities Serve as a subject matter expert on Rubrik s data protection and data security solutions, focused on database and cloud workloads. Act as a trusted advisor on assigned opportunities, aligning Rubrik s technology and roadmap with customer business objectives. Lead impactful product demonstrations, technical workshops, and solution presentations tailored for technical and executive-level audiences. Contribute to high-quality proposals, white papers, and responses to RFPs/RFIs. Collaborate with presales teams to design, execute, and troubleshoot proof-of-concepts (POCs), ensuring successful outcomes. Proactively identify technical challenges and architect creative solutions to overcome sales barriers. Translate complex customer requirements into clear, actionable technical strategies. Stay abreast of industry trends in data protection, security, database and cloud technologies, effectively positioning Rubrik s solutions. Evangelize Rubrik s offerings and clearly communicate strategic direction and product roadmap aligned with customer needs. Work closely with Product Management and Engineering to influence feature development based on customer feedback and market demands. Provide competitive intelligence and actionable insights from customer engagements to internal stakeholders. Qualifications 8+ years of successful experience in customer-facing technical sales or consulting roles focused on enterprise database technologies and cloud. Bachelor s Degree in Computer Science, Engineering, or equivalent experience. Deep technical expertise in two or more areas across database and cloud: Database focus: Primary: Oracle (Oracle Cloud, Data Guard, Golden Gate, Exadata, ExaCC) Secondary: MongoDB, Apache Cassandra, SQL Server, IBM DB2, Informix, PostgreSQL Multi-Cloud focus (Azure or AWS or GCP): Primary: AWS EC2, Azure VM, GCP Compute Engine, AWS S3, Azure Blob Secondary: Azure SQL and AWS RDS Proficiency in scripting languages such as Python, PowerShell, Go, or JavaScript. Excellent problem-solving capabilities, able to troubleshoot complex technical issues and deliver scalable solutions. Experience conducting benchmarks and performance testing on enterprise systems (preferred). Demonstrated sales acumen, capable of articulating technical value to C-level executives and technical audiences including database administrators. Strong cross-functional collaboration skills with sales, engineering, and product management. Exceptional communication skills, including compelling presentations and clear, concise writing. Proven experience with data center hardware/software, cloud platforms, data security solutions, IaaS, PaaS, or hypervisor software. Self-motivated and results-driven, comfortable working remotely with a high degree of autonomy. Willingness to travel approximately 20%-50% of the time. #LF-SF1 Join Us in Securing the World's Data Rubrik (NYSE: RBRK) is on a mission to secure the world s data. With Zero Trust Data Security , we help organizations achieve business resilience against cyberattacks, malicious insiders, and operational disruptions. Rubrik Security Cloud, powered by machine learning, secures data across enterprise, cloud, and SaaS applications. We help organizations uphold data integrity, deliver data availability that withstands adverse conditions, continuously monitor data risks and threats, and restore businesses with their data when infrastructure is attacked. Qualification : Bachelors degree or equivalent practical experience.

Principal Engineer, Google Cloud VMware Engine Google - Bengaluru, Karnataka, India Join Google Cloud in Bengaluru, Karnataka, India and play a pivotal role in the Google Cloud VMware Engine (GCVE) team! Our mission is to empower customers to seamlessly move their VMware-based applications to Google Cloud without altering their existing apps, tools, or processes. As a Principal Engineer, you will spearhead the technical strategy for GCVE, driving the development of highly performant and scalable infrastructure with fully redundant and dedicated networking. You will ensure the availability necessary for demanding enterprise workloads and pioneer innovative solutions to dramatically reduce cloud migration timelines. In this critical role, you will lead the execution and delivery of the overall GCVE Systems Design. This includes influencing compute server design, platform architecture, network fabric, large cluster level Service Level Objectives (SLOs), reliability, observability, and alerting. You will also be instrumental in how these systems integrate with the broader Google Cloud Infrastructure and Services. Collaboration with external partners, particularly VMware, to co-create groundbreaking solutions will be a key aspect of this role. Leveraging your deep understanding of emerging cloud technologies, you will address the unique cloud requirements of VMware workloads. Your technical expertise will be crucial in bringing innovative software solutions to market, understanding enterprise workload requirements, and utilizing open source technologies. Google Cloud is dedicated to accelerating every organization's digital transformation. We provide enterprise-grade solutions leveraging Google s cutting-edge technology and developer-friendly tools. Join us as a trusted partner for customers in over 200 countries and territories, enabling their growth and solving their most critical business challenges. Responsibilities: Develop a forward-thinking technical roadmap for the Google Cloud VMware Engine organization, fostering continuous innovation and the implementation of novel systems solutions. Design, build, and deploy highly scalable solutions leveraging Google compute platforms, robust hardware, advanced networking, and sophisticated software infrastructure to deliver exceptional systems for VMware workloads at scale. Collaborate effectively across engineering teams involved in the build, design, and implementation of hardware and software spanning infrastructure domains such as platforms, server architecture, compute, storage, networking, and data analytics. Influence and establish best engineering practices for managing robust and scalable systems to proactively address exponential market demand. Provide technical leadership for cloud developer technology within Google and manage collaborations with cross-functional Engineering teams to optimize the adoption of Google Cloud Platform capabilities, both internally and for the broader cloud industry. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical Engineering, or equivalent practical experience. 15 years of experience in hardware and software design, data structures, and algorithms. Preferred Qualifications: Master's degree. Proven experience in delivering successfully within stipulated timelines. Demonstrated experience in successfully building software and large-scale distributed systems. Comprehensive understanding of private and public cloud design considerations and limitations in virtualization, global infrastructure, hypervisor technologies, networking, data storage, and security. Exceptional ability to work cross-functionally, partnering effectively with groups such as Sales, Engineering, Product Management, Product Marketing, UX, and UI, skillfully brokering trade-offs with stakeholders and understanding their diverse needs. Excellent narrative and storytelling skills with a proven ability to drive usage, adoption, and market momentum. Qualification : Bachelor's degree in Computer Science, Electrical Engineering, or equivalent practical experience.

Java Developer Digital Engine Services Company: Pratt & Whitney Location: Bengaluru Experience: 5 8 years Job Type: Full-time About Us Pratt & Whitney, a Raytheon Technologies company, designs the world s most advanced aircraft engines. Our digital transformation efforts include connected engines and diagnostic platforms, enabling safer and smarter flight. Join our global team of innovators redefining aerospace. Role Summary We're hiring a skilled Java Developer to work on our DPHM Ground Station platform, managing engine data ingestion, transfer, and diagnostics. You will develop cloud-based microservices and automation tools to support predictive maintenance and fleet insights. Responsibilities Design and develop Java microservices for file ingestion and transfer. Work with AWS services (Lambda, S3) for cloud-native development. Manage Apache Kafka-based data pipelines. Automate alerts and monitoring systems for engine data processing. Build CI/CD pipelines and implement unit/integration testing. Define KPIs and create dashboards using data cubes and APIs. Collaborate with P&WC IT for DevSecOps and troubleshooting. Qualifications Bachelor s/Master s in Software Engineering or Computer Science. 5 8 years of experience in Java, OOP, cloud, and messaging systems. Hands-on with Kafka, AWS Lambda, CI/CD, and GitHub. Excellent English communication and teamwork skills. Preferred AWS certification IoT data pipeline experience Familiarity with C#/C++ Benefits Flexible work schedules Parental leave and childcare support Career development programs Health and savings plans Apply Now Equal Opportunity Employer All applicants are considered without regard to race, gender, disability, veteran status, or other protected attributes. RTX is an equal opportunity employer. Qualification : Bachelors/Masters in Software Engineering or Computer Science.

Lead Cloud Engineer HPC (High Performance Computing) Location: Bengaluru, India Company: Chevron Experience Level: 5 10 Years Department: IT Cloud Engineering Work Mode: Hybrid (Global Operations Support) About the Role Chevron is seeking a Lead Cloud Engineer HPC to deliver next-generation High Performance Computing (HPC) infrastructure and application solutions. This position plays a key role in supporting compute-intensive workloads such as geophysics, reservoir simulations, AI/ML models, and parallel file systems, with a focus on cloud-native solutions and low-latency architectures. This role is ideal for someone experienced in cloud engineering, Linux system administration, and HPC architecture. Key Responsibilities Design, deploy, and support HPC environments for compute-intensive workloads. Configure and manage HPC job scheduling systems (e.g., Slurm, PBS). Implement and maintain parallel file systems such as Lustre. Manage Azure-based cloud infrastructure using VM Scale Sets. Collaborate with data scientists and developers to optimize infrastructure. Leverage Ansible, Satellite, and Python for automation. Optimize low-latency networks for distributed computing. Modernize HPC architecture with an eye on cost control and performance. Required Qualifications Bachelor s degree in Computer Science, Information Systems, or related field. 5 10 years of experience in: Linux system administration in a large-scale environment Microsoft Azure, including VM Scale Sets HPC job schedulers Slurm, PBS Parallel file systems Lustre Automation tools Ansible, Satellite, Python Supporting compute-heavy scientific/engineering applications Understanding of storage systems, networking, and performance tuning in HPC. Willingness to support global operations and participate in after-hours support. Preferred Skills Experience deploying HPC workloads in hybrid cloud environments. Familiarity with reservoir simulation or geophysical applications. Knowledge of security compliance and cost optimization in HPC/cloud. Working Hours Chevron supports global operations. Work hours may be aligned across international teams: Standard Work Days: Monday to Friday Shift Options: 8:00 AM 5:00 PM or 1:30 PM 10:30 PM IST Benefits & Perks Competitive compensation package Health, life, and accident insurance Flexible work schedule and hybrid options Professional development and certification support Work on cutting-edge HPC and AI infrastructure Equal Opportunity Employer Chevron is committed to a diverse and inclusive workforce. All qualified applicants will receive consideration without regard to race, gender, religion, sexual orientation, nationality, age, or disability. Chevron participates in E-Verify in applicable regions. Apply Now If you re passionate about building scalable HPC infrastructure in the cloud, apply now to join Chevron s Cloud Engineering team in Bengaluru. Qualification : Bachelors degree in Computer Science, Information Systems, or related field.

Senior Technical Project Manager Location: Bangalore Experience: 12 15 Years Company: Mphasis Job Summary The Technical Application Delivery Manager is responsible for overseeing the comprehensive delivery of software applications, ensuring alignment with business needs, technical requirements, and best practices. This role requires a combination of technical expertise, project management skills, stakeholder engagement, and leadership abilities to successfully drive application development and deployment across multiple teams. The candidate will collaborate closely with development teams, business analysts, infrastructure engineers, and stakeholders to ensure timely and high-quality delivery of software solutions. Years of Experience Needed 8+ years of experience in IT/application delivery At least 3-5 years in a leadership role Technical Skills Software Development Lifecycle (SDLC): Expertise in Agile, Scrum, and DevOps practices Cloud Technologies: Proficiency in AWS, Azure, or Google Cloud Platform (GCP) DevOps & CI/CD: Knowledge of Jenkins, GitHub Actions, Azure DevOps, Kubernetes, Docker, Terraform Application Architecture: Expertise in microservices, APIs, event-driven architecture, containerization Programming & Scripting: Familiarity with Java, .NET, Python, JavaScript, or other modern languages Database & Data Management: Understanding of SQL/NoSQL databases, data governance, and analytics CRM: Familiarity with Salesforce Project & Delivery Management Skills Experience in Agile project management, Jira, and Agile frameworks (Scrum, SAFe, Kanban) Expertise in budgeting, cost estimation, and financial planning for application development projects Stakeholder communication and executive reporting skills Vendor management and contract negotiation experience Soft Skills Leadership & Team Management: Ability to mentor teams and foster a culture of accountability and innovation Problem-Solving: Strong analytical skills for troubleshooting technical and process-related issues Collaboration: Excellent ability to work across cross-functional teams, including business and IT Decision-Making: Data-driven approach to prioritization and resource allocation Customer-Centric Mindset: Ensuring that applications align with business and user needs Key Responsibilities (KRA Key Result Areas) Project & Application Delivery Management Lead the planning, execution, and delivery of software applications, ensuring adherence to scope, budget, and timeline Define and manage application delivery roadmaps, aligning with business objectives and IT strategy Oversee software development lifecycle (SDLC) processes, including Agile, DevOps, and CI/CD pipelines Ensure effective risk management and mitigation strategies in application development projects Monitor project performance and take corrective actions to resolve issues proactively Stakeholder & Vendor Management Collaborate with business stakeholders to understand application requirements and translate them into technical solutions Serve as the primary contact point between IT teams, business units, and third-party vendors Manage vendor relationships, ensuring SLAs, contracts, and performance standards are met Communicate progress, challenges, and risks to senior management and stakeholders Technical Leadership & Architecture Oversight Work with architects and development teams to ensure scalable, secure, and high-performing application architectures Promote best practices in software engineering, security, and cloud adoption Provide technical guidance on integration, APIs, microservices, and data management Advocate for automation, DevOps, and cloud-native application development Team Management & Agile Coaching Lead and mentor development, QA, and DevOps teams to enhance technical proficiency and delivery efficiency Foster Agile and DevOps methodologies, ensuring collaboration and continuous improvement Conduct performance reviews and cultivate a culture of learning and innovation within the team Security, Compliance & Risk Management Ensure applications comply with cybersecurity policies, data protection regulations, and industry standards Collaborate with security teams to integrate security best practices into the SDLC Manage incident response plans for application-related issues and security breaches Continuous Improvement & Innovation Identify opportunities for process improvements, automation, and optimization in application delivery Stay updated with emerging technologies, frameworks, and trends in application development Drive digital transformation initiatives, including cloud migration and modernization Experience & Qualifications Educational Background: Bachelor s or Master s Degree in Computer Science, Information Technology, Engineering, or a related field Professional Experience: 8+ years of experience in IT/application delivery, with at least 3-5 years in a leadership role Proven experience in managing large-scale enterprise application development and deployment Strong background in cloud platforms (AWS, Azure, GCP) and DevOps methodologies Experience working in regulated industries (finance, healthcare, telecom) is advantageous Certifications Needed Project Management: PMP, PRINCE2, CSM (Certified Scrum Master), SAFe Agile Certification Cloud & DevOps: AWS/Azure/GCP Solutions Architect, Kubernetes, Terraform About Mphasis Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis Front2Back Transformation approach, leveraging the exponential power of cloud and cognitive technologies. The company s Service Transformation helps enterprises modernize legacy environments, ensuring they stay ahead in a changing world. Equal Opportunity Employer Mphasis is an equal opportunity/affirmative action employer. We provide equal employment opportunities to applicants and existing associates and evaluate qualified candidates without regar...

Engineer, Principal/Manager - Machine Learning, AI Location: Bangalore, Karnataka, India Company: Qualcomm India Private Limited General Summary Qualcomm is seeking an experienced and visionary Principal AI/ML Engineer to lead research, development, and optimization of AI inference systems. This role involves developing high-performance AI models, optimizing deployments across various hardware platforms, and contributing to research in model compression, quantization, and hardware-aware optimization. Education & Experience PhD with 6+ years, Master's with 7+ years, or Bachelor's with 8+ years in Engineering, CS, or related field. 20+ years of experience in AI/ML development; 5+ years in inference optimization and debugging. Key Responsibilities Model Optimization & Quantization Optimize models using quantization (INT8, INT4, mixed precision), pruning, and knowledge distillation. Implement PTQ and QAT techniques for deployment. Experience with TensorRT, ONNX Runtime, OpenVINO, TVM. AI Hardware Acceleration & Deployment Target platforms: Hexagon DSP, CUDA GPUs, TPUs, NPUs, FPGAs, Habana Gaudi, Apple Neural Engine. Use Python APIs: cuDNN, XLA, MLIR for hardware acceleration. Benchmark and debug performance across platforms. AI Research & Innovation Research on efficient AI inference: model compression, low-bit precision, sparse computing. Explore architectures like Sparse Transformers, Mixture of Experts, Flash Attention. Publish in ML conferences: NeurIPS, ICML, CVPR; contribute to open-source projects. Technical Expertise Optimization of LLMs, LMMs, LVMs for inference. Deep Learning frameworks: TensorFlow, PyTorch, JAX, ONNX. Expert in CUDA, cuPy, Numba, TensorRT, ONNX Runtime, OpenVINO. Skilled in Python for scalable AI development. Experience with ML runtime delegates: TFLite, ONNX, Qualcomm AI Stack. Debugging: Netron, TensorBoard, PyTorch Profiler, Nsight, perf, Py-Spy. Cloud inference: AWS Inferentia, Azure ML, GCP AI Platform, Habana Gaudi. Hardware-aware optimization: oneDNN, ROCm, MLIR, SparseML. Contributions to open-source and research publications are a strong plus. Leadership & Collaboration Lead a team of engineers in Python-based AI inference and optimization. Collaborate with researchers, software engineers, DevOps, and hardware vendors. Define debugging, deployment, and performance tuning best practices.

Position: Senior Data Scientist Location: Bangalore Employment Type: Full-time Experience Required: 5 to 7 years Purpose of the Position: The Senior Data Scientist will play a key role in designing, developing, and implementing machine learning models and algorithms to solve complex business problems. The role involves collaborating with data scientists, software engineers, and business stakeholders to deliver scalable, efficient machine learning solutions that drive innovation and improve business outcomes. Key Responsibilities: Model Development and Optimization: Develop, train, and optimize machine learning models to meet business objectives. Ensure models are accurate, efficient, and scalable. Data Pipeline and Infrastructure: Design and maintain robust data pipelines to support machine learning workflows. Ensure data quality and integrity throughout the data lifecycle. Deployment and Monitoring: Deploy machine learning models into production. Monitor model performance and implement improvements as needed. Collaboration and Communication: Work with cross-functional teams to understand business requirements and translate them into technical solutions. Communicate complex technical concepts to non-technical stakeholders. Research and Innovation: Stay up to date with the latest advancements in machine learning and AI. Experiment with new techniques and technologies to enhance the organization's capabilities. Essential Skills: Machine Learning Frameworks: Experience with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. Programming Languages: Strong skills in Python and R. Data Processing: Experience with tools like Pandas, NumPy, and Spark. Model Deployment: Experience with Docker, Kubernetes, MLflow, and FastAPI. Databases: Strong experience in databases like Snowflake, MongoDB, and Cosmo DB. Statistical Analysis: Strong foundation in statistics and probability. Model Management: Experience establishing model management, monitoring, support, and maintenance frameworks. ML Lifecycle: Experience setting up ML lifecycle processes and governance policies, as well as providing L0, L1, and L2 support. Desired Skills: Deep Learning: Familiarity with deep learning frameworks like TensorFlow or PyTorch. Natural Language Processing (NLP): Understanding of NLP techniques and applications. Cloud Computing: Experience with cloud platforms like AWS, Azure, or Google Cloud. Big Data Technologies: Knowledge of big data technologies such as Hive, Pig, or Cassandra. Software Engineering: Proficiency in software development and version control systems like Git. Qualifications: Education: Master's degree or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related field. Experience: Over 5 years of experience in machine learning, with a proven track record of developing and deploying models. Certifications: Relevant certifications in machine learning or data science are a plus. Key Qualities: Analytical Thinking: Strong analytical and problem-solving skills. Communication: Excellent verbal and written communication skills. Team Player: Ability to work effectively in a collaborative team environment. Adaptability: Flexibility to adapt to changing business needs and technologies. Innovation: A proactive approach to exploring new ideas and technologies. Apply now to join our dynamic team and lead innovation through machine learning and AI! Qualification : Master's degree or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related field.

Job Title: Software Engineer Location: Bengaluru, India Company: Google Minimum Qualifications: Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 2 years of experience with data structures or algorithms. Preferred Qualifications: Master's degree or PhD in Computer Science or related technical fields. Experience developing accessible technologies that meet diverse user needs. About the Job: Google's software engineers develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design, and mobile; the list goes on and continues to grow every day. As a software engineer, you will work on a specific project critical to Google s needs, with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, to display leadership qualities, and to be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google Cloud Overview: Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology and tools to help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities: Write product or system development code, focusing on building scalable and efficient systems. Participate in, or lead design reviews with peers and stakeholders to decide on the most appropriate technologies for the task. Review code developed by other developers and provide feedback to ensure best practices, such as: Style guidelines Code accuracy Testability Efficiency Contribute to existing documentation or educational content, and adapt it based on product or program updates and user feedback. Triage product or system issues and debug/track/resolve them by analyzing the sources of issues and understanding their impact on hardware, network, or service operations and quality. Qualification : Master's degree or PhD in Computer Science or related technical fields.

Your Impact As a Data Engineer at QuantumBlack, you will collaborate with stakeholders, data scientists, and internal teams to develop and implement impactful data products and solutions. Your key responsibilities will include building and maintaining technical platforms for advanced analytics, designing scalable and reproducible data pipelines for machine learning, and ensuring information security within data environments. You will assess clients' data quality, map data fields to hypotheses, and prepare data for use in analytics models. Additionally, you will contribute to R&D projects, internal asset development, and participate in cross-functional problem-solving sessions with a variety of stakeholders, including C-level executives, to create innovative analytics solutions. You will be based in Gurugram, joining a global data engineering community, and work within cross-functional and Agile project teams alongside project managers, data scientists, machine learning engineers, other data engineers, and industry experts. You will collaborate directly with our clients, ranging from data owners and users to C-level executives. You will be aligned with one of our industry-focused practices: Pharma & Medical Products (PMP) or Global Energy & Materials (GEM). In these practices, you ll work on solving the most critical challenges for our clients in these sectors. PMP focuses on advancing the development and delivery of life-saving medicines and medical treatments, while GEM supports industries like chemicals, steel, mining, and energy to achieve operational excellence. GEMx and PMPx, the assetization arm of these practices, focus on creating reusable digital and analytics assets to support client work. As part of this team, you will help shape impactful solutions for large organizations, developing capabilities for sustained impact. Your Growth In this role, you will contribute to the frameworks and libraries that our teams of Data Scientists and Engineers use to progress from data to meaningful impact. You will have the opportunity to guide global companies through data science solutions, helping them transform and enhance performance across industries including healthcare, automotive, energy, and elite sports. Real-World Impact: You ll gain unique learning and development opportunities globally. Fusing Tech & Leadership: Work with the latest technologies and methodologies, with access to top-tier learning programs. Multidisciplinary Teamwork: Collaborate with data scientists, engineers, project managers, UX designers, and more to enhance performance. Innovative Work Culture: Creativity, passion, and wellness are central to our modern work environment, which includes insightful talks, training sessions, and a focus on work-life balance. Striving for Diversity: We celebrate diversity, with colleagues from over 40 nationalities, appreciating the value that diverse perspectives bring to the workplace. You are a highly collaborative individual who prioritizes impact over agenda. You enjoy learning from colleagues, challenging ideas thoughtfully, and working together to improve processes and solve problems. You believe in iterative change, experimenting with new approaches, and advancing quickly through constant learning and improvement. While we value using the right tech for the right task, our team often leverages technologies such as Python, PySpark, SQL, Airflow, Databricks, Kedro (our open-source data pipelining framework), Dask/RAPIDS, Docker, Kubernetes, and cloud solutions like AWS, GCP, and Azure. Your Role as a Data Engineer Collaboration: Work with business stakeholders, data scientists, and internal teams to create extraordinary, domain-focused data products (reusable assets) and deliver them to clients. Domain Expertise: Develop deep understanding of client industries and use creative techniques to deliver meaningful impact. Technical Platforms: Build and maintain technical platforms for advanced analytics engagements, spanning both data science and data engineering work. Data Pipelines: Design and implement robust, modular, scalable, deployable, and reproducible data pipelines for machine learning. Data Management: Ensure the security of data environments and compliance with information security standards. Data Wrangling: Assess data quality, map data fields to hypotheses, and prepare data for analytics models. Contribute to R&D: Participate in internal asset development and contribute to R&D projects to drive innovation. Cross-functional Problem Solving: Collaborate with internal teams and clients, including data owners and C-level executives, to create impactful analytics solutions. Your Qualifications and Skills Bachelor s degree in computer science or related field; Master's degree is a plus. 2-5 years of relevant work experience. Proficiency in at least one programming language such as Python, Scala, or Java. Strong experience with distributed processing frameworks (e.g., Spark, Hadoop, EMR) and SQL. Experience in commercial client-facing projects, particularly in close-knit teams. Ability to work with structured, semi-structured, and unstructured data, and identify linkages across disparate data sets. Clear communication skills to explain complex solutions effectively. Understanding of information security principles to ensure compliant handling of client data. Experience with cloud platforms (AWS, Azure, Google Cloud, Databricks) is highly desirable. Experience with CI/CD processes using GitHub Actions, CircleCI, or similar, and end-to-end pipeline development including application deployment is a plus. Qualification : Bachelors degree in computer science or related field; Master's degree is a plus.

About MongoDB MongoDB empowers innovators to create, transform, and revolutionize industries by harnessing the power of software and data. We enable organizations of all sizes to build, scale, and manage modern applications by modernizing legacy systems, fostering innovation, and integrating AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database available in over 115 regions across AWS, Google Cloud, and Microsoft Azure. With Atlas, customers can build anywhere on the edge, on-premises, or across multiple cloud providers. With a global presence and over 175,000 developers joining MongoDB monthly, industry leaders such as Samsung and Toyota rely on us to develop next-generation, AI-driven applications. Role Overview We are seeking passionate and skilled technologists to join our Pre-Sales organization, ensuring that our growth is strategically aligned with our platform s capabilities and our customers needs. As a Pre-Sales Solution Architect, you will guide customers in designing and implementing reliable, scalable systems using MongoDB s data platform. Our team consists of experienced software architects, entrepreneurs, and developers who take direct responsibility for customer success from software design to deployment and operations. You will collaborate closely with our sales team, playing a key role in securing deals and driving business growth. As a trusted advisor, you will work with a diverse range of clients, from startups to large enterprise IT organizations. If you d like to learn more about the role, explore the experiences of Veronica Tudor, Matt Kalan, and Winston Vargo on our Life at MongoDB blog. This role is based in our Bengaluru office as part of our hybrid working model. Ideal Candidate Profile Required Qualifications: 10+ years of professional experience, including a strong background in software development. 3+ years of pre-sales experience with enterprise software solutions. Proficiency in at least two modern scripting or programming languages (e.g., Python, Node.js, SQL, C/C++, Java, C#). Hands-on experience with scalable and highly available distributed systems. Willingness to travel within the region, including international travel as needed. Preferred Qualifications: Experience selling databases or deploying applications with major cloud providers (AWS, Google Cloud, Azure). Familiarity with database programming and data modeling best practices. Key Responsibilities Design systems, applications, and infrastructure to support large-scale software development projects using MongoDB. Provide technical guidance on architectures, patterns, and best practices for leveraging MongoDB effectively. Support the sales team with technical discovery, demonstrations, proof of value, presentations, system sizing, and documentation of technical decision criteria. Translate technical concepts into business value for stakeholders, including executives and decision-makers. Act as a liaison between customers and MongoDB s Product Management team, providing field insights and feedback. Represent MongoDB at industry events, trade shows, and account-based marketing initiatives to drive demand. Mentor and support other pre-sales team members, sharing knowledge and best practices. Demonstrate situational awareness and adaptability in dynamic team environments. Learning & Development Opportunities Gain in-depth knowledge of MongoDB s rapidly evolving product suite, including: Core Database Server Atlas (fully managed cloud database service) Atlas Data Lake, Atlas Full-Text Search, Realm (Mobile Database), Charts Developer Tools & Connectors (Ops/Cloud Manager, Compass, Connector for BI, Connector for Spark) Expand expertise in complementary technologies such as Apache Kafka and Kubernetes. Learn and apply modern architecture methodologies, including microservices, event-driven architectures, DevOps, and cloud security. Develop and refine sales techniques, including presentations, demonstrations, whiteboarding, discovery, and objection handling. Gain exposure to a diverse range of industries and real-world use cases. Culture & Benefits At MongoDB, we prioritize the personal and professional growth of our employees by fostering a supportive and enriching work environment. From employee affinity groups and fertility assistance to a generous parental leave policy, we are committed to the well-being of our team members at every stage of their journey. Learn more about life at MongoDB and join us in making a meaningful impact on the world. MongoDB is an equal-opportunity employer committed to diversity and inclusion. We provide accommodations for individuals with disabilities throughout the application and interview process. If you require accommodations, please inform your recruiter.