Principal Data Engineer Jobs in Bengaluru

Senior Data Engineer Enterprise Data Platform Location: Bengaluru Department: Business Technology Data Engineering Experience: 5+ Years Employment Type: Full-Time About Okta Okta is The World s Identity Company. We empower people to securely use any technology, anywhere, on any device. Through our Okta and Auth0 platforms, we provide secure access, authentication, and automation placing identity at the center of security and growth for thousands of organizations. We value diverse perspectives and lifelong learners. We re not looking for someone who checks every box we re looking for someone who will make us better with their unique experiences. Team: Business Technology Data Engineering The Data Engineering team at Okta supports cross-functional partners by building scalable, secure, and high-performing platforms. These platforms power decision-making and business processes across sales, marketing, engineering, finance, product, and operations. As part of this team, you ll contribute to data solutions that fuel Okta s hyper-growth. You will have the opportunity to work with cutting-edge technologies in cloud infrastructure, data lakes, automation, and CI/CD pipelines. The Role: Senior Data Engineer As a Senior Data Engineer, you will design, build, and manage modern data pipelines, infrastructure, and automation frameworks. You ll help scale our enterprise data platform using tools such as Snowflake, dbt, Airflow, Databricks, and AWS, while ensuring security, observability, and performance. You ll also contribute to CI/CD pipelines, infrastructure as code (IaC), and secure development lifecycle practices, enabling consistent, efficient, and secure delivery of data solutions. Key Responsibilities Platform Development & Infrastructure Design and maintain scalable data pipelines and platforms using Snowflake, AWS, Databricks, dbt, and Airflow. Manage infrastructure with Terraform, enabling repeatable and consistent deployments. Develop and maintain robust CI/CD pipelines using GitHub Actions, GitLab, or Jenkins. Containerize data services using Docker for better scalability and portability. Security & Compliance Implement and enforce secure development lifecycle practices, integrating tools like DAST, SAST, SCA, and Secret Scanning into pipelines. Conduct vulnerability scanning and apply patches to ensure system integrity. Ensure data security and compliance with industry standards and regulations. Collaboration & Innovation Collaborate with data engineers, data scientists, and analysts across business units to ensure data availability and integrity. Identify opportunities for automation and optimization within the data platform. Stay updated on emerging technologies and drive adoption of best practices. Must-Have Skills Bachelor s degree in Computer Science, Engineering, or a related technical field. 5+ years of experience in data engineering, including: Advanced SQL and ETL development with Airflow and dbt. Experience with data warehouses such as Snowflake, Redshift, or BigQuery. Strong hands-on experience with AWS (S3, Lambda, EC2, EMR, EKS). 2+ years of experience managing CI/CD pipelines using tools like GitHub Actions, GitLab, Jenkins, or ArgoCD. Experience with Terraform and Docker. Proficiency in backend languages such as Python, Java, or Go. Preferred Skills Experience with lakehouse architectures like Databricks, including knowledge of Delta Lake and Apache Iceberg. Background in infrastructure security, vulnerability management, and observability tooling. High Impact: Help build and scale the data platform that powers Okta s global business. Cutting-Edge Stack: Work with best-in-class technologies like AWS, Snowflake, dbt, Terraform, and Databricks. Collaborative Culture: Join a diverse, inclusive, and globally distributed team that values knowledge sharing and continuous learning. Career Growth: Shape the future of Okta s data engineering practice while expanding your technical and leadership skills. Bring your passion for data, cloud, and automation and let s shape the future of secure, scalable enterprise data platforms together. Qualification : Bachelors degree in Computer Science, Engineering, or a related technical field

Product Manager Location: Bangalore Experience: 5 7 years About the Role We are seeking a seasoned Product Manager to lead the strategy, roadmap, and execution of key product initiatives. The ideal candidate brings hands-on experience in **supply chain finance or fintech**, a deep understanding of customer challenges, and a proven ability to build scalable, user-centric solutions. You'll work cross-functionally to translate business objectives into impactful digital products that deliver measurable value. Key Responsibilities Define and own the product vision, strategy, and roadmap, ensuring alignment with overall business objectives. Conduct market research, competitive analysis, and customer discovery to identify unmet needs and product opportunities. Collaborate with engineering, design, and business teams to build, launch, and iterate on high-impact features and products. Prioritize product requirements based on data, user insights, and business impact. Manage the end-to-end product lifecycle, from ideation and validation to release and optimization. Develop clear business cases and ROI models for new initiatives. Monitor product adoption, user engagement, and feedback to continuously enhance the user experience. Work closely with sales, marketing, and customer success to ensure effective go-to-market execution. Stay informed on emerging fintech trends, regulatory developments, and innovations in the supply chain finance ecosystem. Requirements 5 7 years of experience in product management, ideally within fintech, supply chain finance, or related domains. Strong grasp of financial products, digital platforms, and trade finance (TReDS experience is a plus). Demonstrated success in owning product roadmaps and launching scalable, high-impact products. Excellent analytical thinking, problem-solving, and decision-making skills. Strong stakeholder management and communication abilities, with experience working across cross-functional teams. Familiarity with Agile/Scrum methodologies and tools like JIRA, Trello, Confluence, etc. Technical aptitude or the ability to effectively collaborate with engineering teams is a plus. Shape and scale cutting-edge fintech products in a high-growth environment. Collaborate with a dynamic, mission-driven team solving real-world problems. Thrive in a growth-oriented, transparent, and collaborative workplace culture.

Job Title: Sr. Data Science Engineer Location: Bangalore Experience: 5 8+ Years Job Description As a Senior Data Science Engineer, you will develop and maintain scalable data pipelines and manage API integrations to support growing data volume and complexity. You will play a key role in ensuring data quality and enabling accurate AI model development through effective data handling and automation. Responsibilities Monitor data quality and implement processes for data cleansing and validation. Analyze data to troubleshoot and resolve data-related issues promptly. Develop automation workflows for efficient data labeling, preparation, and augmentation to improve AI model accuracy and utility. Requirements Proven experience as a Data Scientist, Data Analyst, or related role, with experience in data mining. Strong proficiency in data manipulation using Python or R; familiarity with Scala, Java, or C++ for raw data processing is a plus. Experience with business intelligence tools (e.g., Tableau) and big data frameworks like Hadoop and Spark. Strong mathematical foundation, especially in statistics and algebra. Advanced SQL skills with experience in database development, data migration, and integration. Expertise in exploratory data analysis and familiarity with common data science toolkits. Ability to communicate complex data insights clearly and effectively to non-technical stakeholders. Familiarity with data management tools and experience applying machine learning and AI techniques.

Distinguished Engineer Machine Learning Engineering Location: Bangalore Company: Capital One India About Us At Capital One India, we re redefining how technology powers financial services. Our teams work in a fast-paced, intellectually rigorous environment to tackle complex business challenges at scale. By harnessing the power of advanced analytics, data science, and machine learning, we create innovative, patentable solutions that transform customer experiences and drive the business forward. Team Overview: Machine Learning Experience (MLX) The MLX team leads Capital One s mission to build scalable, well-managed ML systems and platforms. We empower teams across the enterprise to develop, govern, and deploy machine learning models efficiently, securely, and at scale. From automated model governance to observability platforms, MLX enables end-to-end ML lifecycle management laying the foundation for AI-driven innovation across the organization. Role Overview We re looking for a Distinguished Engineer Machine Learning Engineering to join our MLX team. In this high-impact role, you'll architect and implement the platforms and tools that support model observability, automated governance, and ML model deployment at scale. This is an opportunity to drive enterprise-wide innovation and shape how ML is integrated into Capital One s core business systems. What You ll Do Design and build systems that capture and analyze large-scale model and feature metadata, including training metrics and runtime performance, to power model observability and governance automation. Partner with cross-functional teams including product managers, designers, and platform engineers to create scalable solutions that accelerate ML model lifecycle management. Lead efforts to enable automated governance decisions for ML models, ensuring compliance, auditability, and operational integrity. Architect and implement high-performance data pipelines that feed ML models with real-time and batch data. Contribute to the design and implementation of cloud-native ML systems using tools such as AWS, Kubernetes, and Terraform. Write clean, scalable, production-grade code in languages like Python, Go, or Java. Implement CI/CD pipelines, testing frameworks, and monitoring systems for ML applications. Drive the adoption of best practices in ML Ops, observability, and platform resilience. Basic Qualifications Master s Degree in Computer Science or related field. 15+ years of experience in software engineering or solution architecture. 10+ years building data-intensive, distributed computing systems. 10+ years programming in Python, Go, or Java. 8+ years of hands-on experience with industry-leading ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch, Dask, Spark). Preferred Qualifications PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field. 5+ years of experience building, scaling, and optimizing production ML systems. Deep expertise in data preparation, feature engineering, and ML pipeline optimization. 10+ years writing performant, maintainable, and resilient production code. Strong experience deploying ML solutions on public cloud platforms (AWS, Azure, GCP). Expertise in distributed systems, file systems, or multi-node databases. Open-source contributor to ML tools or libraries. Published work in ML (papers, patents, blogs, etc.). 5+ years of experience in ML Ops (using MLflow, TFX, Kubeflow, etc.). Experience with LLMs and Generative AI applications (open-source or commercial models). Proven experience designing production-ready observability platforms for ML applications. Be at the forefront of building scalable, secure, and enterprise-grade ML platforms. Shape the future of AI and ML adoption in a top-tier financial institution. Collaborate with world-class engineers and data scientists. Solve real-world problems with high business impact. Thrive in a diverse, inclusive, and innovation-focused culture. Qualification : PhD or Master's in Computer Science, Electrical Engineering, Mathematics, or related field

Data Engineer Location: Bangalore Company: Capital One India About Capital One At Capital One, we're redefining how technology solves real-world financial challenges. As a technology-driven company, we bring together talented engineers, data scientists, and designers to innovate at scale and deliver meaningful impact to millions of customers. If you're passionate about building powerful data solutions, exploring cutting-edge technologies, and working in a collaborative, fast-paced environment this is the place for you. About the Role As a Data Engineer at Capital One, you ll join a team of innovators who design and build next-generation data platforms and pipelines that power real-time decision-making. You ll collaborate across disciplines engineering, product, machine learning, and cloud infrastructure to transform how we leverage data at scale. What You ll Do Collaborate across Agile teams to design, develop, test, and deploy data-driven solutions. Build and support scalable data pipelines using modern data engineering tools and cloud services. Work on real-time and batch data processing systems that integrate with distributed microservices and ML platforms. Use programming languages such as Python, Java, or Scala with SQL, NoSQL, and cloud data warehouses like Redshift or Snowflake. Contribute to code reviews, unit testing, and performance optimization to ensure high-quality data systems. Partner with product managers and platform teams to deliver robust, cloud-native data solutions that power business decisions. Stay ahead of tech trends, share knowledge, and mentor junior engineers. Basic Qualifications Bachelor s degree in Computer Science, Engineering, or a related field. 1.5+ years of hands-on experience in application or data engineering (excluding internships). At least 1 year of experience working with big data technologies. Preferred Qualifications 3+ years of application/data engineering experience using Python, Scala, Java, or SQL. 1+ year of experience with cloud platforms (AWS, Azure, or GCP). 2+ years of experience with distributed computing tools (Spark, Hadoop, Hive, EMR, Kafka, etc.). 1+ year working on real-time streaming applications. 1+ year of experience with NoSQL databases (MongoDB, Cassandra). 1+ year of experience with data warehousing (Redshift, Snowflake). 2+ years working with Linux/Unix systems and shell scripting. Familiarity with Agile methodologies and modern DevOps practices. Why Join Capital One Work on high-impact data solutions at one of the world s most innovative financial institutions. Be part of a collaborative tech culture that values experimentation and learning. Access to top-tier tools, mentorship, and career development opportunities. Competitive compensation and benefits in a mission-driven environment. Qualification : Bachelors degree in Computer Science, Engineering, or a related field

Principal Associate Full Stack Engineering (GenAI Observability) Location: Bangalore Company: Capital One India About Us At Capital One India, we re tackling some of the most complex problems in financial services using machine learning, advanced analytics, and cloud-first engineering. Our mission is to build cutting-edge, patentable solutions that transform customer experiences, enhance operational efficiency, and ensure robust risk and compliance standards. We re a team of makers, breakers, doers, and disruptors obsessed with turning data into real-world impact at scale. About the Team Machine Learning Experiences (MLX) The MLX team is pioneering the future of model governance, ML observability, and Generative AI infrastructure at Capital One. We re enabling teams to seamlessly deploy ML and GenAI models at scale, with full visibility into performance, health, compliance, and ethical usage. This is the platform powering the next generation of AI-driven financial products across the company. About the Role We re looking for a Principal Associate Full Stack Engineer to lead the development of observability platforms for Generative AI systems. You ll be part of a cross-functional team focused on governance automation, LLM monitoring, and intelligent diagnostics using telemetry data, metadata, and advanced analytics. You ll design systems to collect, analyze, and visualize performance data from our large-scale GenAI infrastructure, helping data scientists and engineers make faster, safer decisions. What You ll Do Lead architecture and development of observability tools and dashboards for monitoring GenAI models and platform health. Design and build core APIs and SDKs to instrument large language models (LLMs) and foundational models (training, fine-tuning, prompting stages). Integrate Generative AI to enable observability features like anomaly detection, predictive analytics, and copilot-assisted troubleshooting. Partner with platform, MLOps, and governance teams to ingest and analyze telemetry, metadata, and runtime metrics at scale. Drive development of tools to ensure compliance with AI ethics, data governance, and industry regulations. Collaborate with product, design, and research to turn complex requirements into scalable, cloud-native software solutions. Lead proof-of-concept initiatives to test and showcase how GenAI can improve platform observability and decision-making. Contribute to the open-source community and stay at the forefront of GenAI and ML infrastructure evolution. Basic Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or related field 4+ years of experience building distributed, data-intensive systems using microservices architecture 4+ years of experience in backend development with Python, Go, or Java 4+ years of expertise with observability stacks (Prometheus, Grafana, ELK) and adapting them for AI systems Strong knowledge of OpenTelemetry, and experience building custom SDKs and APIs 5+ years of hands-on experience with Generative AI models, especially applied to observability, governance, or compliance 2+ years of experience with cloud platforms such as AWS, Azure, or GCP Preferred Qualifications 4+ years building and optimizing ML systems in production environments 3+ years of experience with MLOps tools like MLflow, Kubeflow, or commercial platforms Experience with GenAI frameworks and libraries like LangChain, Haystack, and vector databases (FAISS, Chroma, OpenSearch) Familiarity with emerging observability tools for LLMs such as Langfuse, Phoenix, Helicone, or OpenInference Contributor to open-source GenAI or ML infrastructure projects Author or co-author of published work in AI/ML observability, governance, or performance monitoring Experience with PyTorch, TensorFlow, Spark, or Dask Knowledge of NVIDIA GPU telemetry, CUDA programming, and performance optimization for AI workloads Understanding of AI ethics, data governance, and regulatory frameworks for machine learning systems Why Join Capital One India Work at the intersection of technology, AI, and compliance helping shape the future of responsible AI Join a team driving enterprise-wide adoption of Generative AI Collaborate with world-class engineers, data scientists, and product leaders Enjoy a high-performance culture that encourages innovation, learning, and mentorship Access to cutting-edge tools, open-source contributions, and cloud-native infrastructure Qualification : Bachelors or Masters degree in Computer Science, Engineering, or related field

Job Title: Principal Electronics Engineer Embedded Hardware Location: Bengaluru Experience: 8 14 years Industry: Automotive / EV / Manufacturing Employment Type: Full-time About Ultraviolette Join the Charge. Create the Future. At Ultraviolette, we are more than just a company we re a movement that s reshaping the future of electric mobility. From building India s fastest electric motorcycle to designing the world s most advanced electric scooter, we thrive on pushing the boundaries of what s possible. We are a team of engineers, designers, and trailblazers united by a passion to craft machines that are sustainable, intelligent, and exhilarating. Every bolt, every line of code, and every component is designed with a singular mission: to accelerate the global shift toward next-generation mobility. Role Overview We are looking for a Principal / Lead Electronics Engineer Embedded Hardware to take ownership of vehicle electronics architecture, embedded systems design, diagnostics, and system-level validation for our next-gen electric vehicles. In this role, you will be at the forefront of developing high-performance electronic control units, telematics, and connected systems for future-ready vehicles. You will drive architecture decisions, system integration, and compliance, working alongside cross-functional teams to bring innovation from concept to the street. Key Responsibilities 1. Vehicle Electronics Architecture Design and bring to production electronic hardware including ECUs, display clusters, and telematics modules. Develop high-speed embedded designs with RF, sensor integration, and communication interfaces (CAN, LIN, UART, SPI, I2C). Create and maintain system schematics, architecture documentation, and interface definitions. 2. Embedded Hardware Design Develop embedded platforms with high-performance microcontrollers/processors to support vision systems, graphics, radar/LiDAR, audio, and OS-based applications. Architect and validate connected systems involving GNSS, LTE, BLE, Wi-Fi. Lead the design and integration of vehicle subsystems like lighting, clusters, IMUs, and more. Collaborate closely with firmware teams on hardware-software integration, bootloaders, and OTA functionality. 3. Diagnostics & Compliance Implement UDS-based diagnostics, fault logging systems, and service tools. Ensure compliance with AIS-004, ISO 26262, and other automotive design standards. 4. Testing & Validation Define and execute component-level and vehicle-level validation test plans. Utilize tools like Vector CANoe, CANalyzer, ETAS INCA, oscilloscopes, and spectrum/network analyzers for debugging and validation. 5. Cross-functional Collaboration Partner with teams across mechanical, software, UX, powertrain, and wire harness for holistic system integration. Work with mobile and cloud teams to enable real-time data streaming, diagnostics, and OTA updates. Actively contribute in design reviews, DFMEAs, and root cause analyses of field issues. Required Qualifications & Skills B.E. / M.E. / B.Tech / M.Tech in Electronics, Electrical, Mechatronics, or related disciplines. 8+ years of embedded hardware design experience, preferably in 2W/EV/automotive domain. Strong understanding of embedded C and scripting languages (e.g., Python, MATLAB, Octave). Experience with circuit simulation tools (e.g., PSPICE, LTSPICE, SIMPLIS, Simetrix). Hands-on expertise in RF design, signal/power integrity, EMI/EMC compliant layouts. Proficiency in PCB design tools (e.g., OrCAD, Altium, Mentor Graphics). Demonstrated experience in designing systems with multi-core processors, memory chips, SoMs, and high-speed interfaces (USB, Ethernet, LVDS, MIPI). Deep knowledge of embedded communication protocols (CAN, LIN, SPI, UART, I2C). Strong debugging and problem-solving skills in hardware validation and field testing. Nice to Have Hands-on experience in vehicle electronics development for 2W, 4W, or electric vehicles. Familiarity with DFT/DFA (Design for Testing/Assembly) methodologies. Experience with manufacturing and compliance testing for embedded hardware. Background in developing connected vehicle ecosystems with OTA capabilities. Passionate about emerging technologies in mobility, EVs, and embedded systems. Be part of India s electric mobility revolution where engineering meets adrenaline. Work on world-class technologies that are pushing global boundaries. Join a culture that encourages innovation, learning, and ownership. Collaborate with passionate teams building next-gen mobility experiences. Qualification : B.E. / M.E. / B.Tech / M.Tech in Electronics, Electrical, Mechatronics, or related disciplines

Principal Engineer Experience: 14 18 years Location: Bengaluru Team: Engineering About CoinDCX At CoinDCX, we believe Change Starts Together. We're on a mission to make Web3 accessible to everyone building secure, scalable, and user-friendly platforms that bring the power of crypto and blockchain to millions. From becoming India s first crypto unicorn to building a community of 125M+, we've come a long way and we're just getting started. As we lead the charge in Web3 innovation, we re looking for visionary engineers to help us shape the future. Your Role: Principal Engineer As a Principal Engineer at CoinDCX, you ll be at the forefront of our engineering strategy leading complex architectural decisions, driving engineering excellence, and mentoring high-performing teams. You ll work on cutting-edge problems at scale, build systems that power the next generation of finance, and influence how Web3 is adopted across the globe. What You'll Do Drive technical strategy, architecture, and execution across high-impact projects. Own performance, scalability, and quality of critical backend systems and services. Lead design and code reviews, ensuring best-in-class software development practices. Guide adoption of modern technologies, tools, and frameworks to improve engineering productivity. Build and mentor world-class engineering teams by fostering a culture of excellence, ownership, and collaboration. Contribute to long-term product and platform roadmap, ensuring alignment with business goals. Represent CoinDCX in technology forums and external communities. Continuously evaluate and experiment with emerging tools and trends in the Web3 and VDA space. What You Bring 14+ years of hands-on experience in software design and development. Expertise in Golang, with a strong focus on writing clean, scalable, and well-tested code. Deep understanding of microservices architecture, containerization (Docker), and orchestration tools (EKS/Kubernetes). Experience with SQL/NoSQL databases like PostgreSQL, MySQL, MongoDB, Cassandra. Familiarity with messaging systems such as Kafka, RabbitMQ, or SQS. Strong grasp of architectural design principles, system trade-offs, and high-scale system performance. Proven experience working in Agile environments, with a strong inclination toward TDD, CI/CD, and DevOps practices. Excellent communication and leadership skills able to explain complex technical ideas clearly and influence decision-making. Passion for mentorship, and a drive to grow engineers into technical leaders. You ll Thrive Here If You... Are excited by the potential of Web3 and Virtual Digital Assets (VDAs). Take ownership and push for high-impact results in everything you do. Are a team player who grows with others, not at their expense. Embrace change and innovation as fuel for growth. Think big, act bold, and never settle for good enough. Design Your Own Benefits Choose perks that matter to you whether it's a new gadget or pet care, we support your lifestyle. Unlimited Wellness Leaves Your well-being comes first. Take time off when needed no questions asked. Mental Wellness Support Access free counseling, expert advice, wellness workshops, and team activities for a balanced life. Bi-Weekly Learning Sessions Stay at the forefront with continuous learning, upskilling, and growth opportunities. Let s Build the Future of Web3 Together If you're a visionary engineer ready to lead, innovate, and drive change at scale we want to hear from you. Come HODL with us.

Position: Principal Product Designer Location: Bengaluru Department: Design Employment Type: Full-time, On-site About Upstox At Upstox, we're building the future of investing simple, powerful, and inclusive. As one of India s fastest-growing fintech platforms, we re backed by leading investors such as Mr. Ratan Tata and Tiger Global, and committed to making wealth creation accessible to every Indian. Millions of users from first-time investors to seasoned traders trust us to power their financial journeys. We're growing fast, and we're doing it with purpose. If you thrive in high-energy, high-impact environments, you ll feel right at home here. The Role: Principal Product Designer As a Principal Product Designer, you ll drive design excellence across Upstox s most critical fintech experiences. In this senior individual contributor role, you ll shape user experiences through deep, hands-on design work without the responsibilities of people management. You ll help guide the evolution of our design systems and deliver intuitive, elegant, and scalable product solutions that directly impact millions. This is a pivotal role where design is not just support it s a strategic force in product development. Key Responsibilities Own end-to-end design of core product experiences from user research and ideation to execution and delivery Lead the development and scaling of a cohesive, cross-platform design system Translate user needs, business goals, and research insights into high-impact, pixel-perfect solutions Collaborate cross-functionally with product managers, engineers, marketers, and compliance teams Continuously measure and refine design output using KPIs, analytics, and user feedback Champion design thinking across the organization, advocating for user needs and design best practices Set a high design bar through thought leadership, mentorship, and hands-on execution 9+ years of experience in product design, ideally in consumer tech or fintech A strong portfolio that showcases deep user insight, systems thinking, and excellent execution across platforms Proficiency with Figma, Sketch, Adobe XD, and experience building and managing design systems Strong foundation in user-centered design, accessibility standards, and familiarity with fintech compliance Exceptional communication skills you articulate design decisions with clarity and influence across functions Self-motivated, adaptable, and excited by complex problem-solving in fast-paced environments Bachelor s degree in Design, HCI, Computer Science, or a related field (preferred) Why This Role Stands Out Shape the digital financial journey for millions of users in India s fast-evolving fintech space Work on high-impact, strategic product initiatives as a senior IC, not a manager Partner directly with founders and senior leaders across product, growth, and engineering Build and scale a world-class design system and practice from the ground up Be part of a design-first culture where your craft directly drives trust, success, and innovation Qualification : Bachelors degree in Design, HCI, Computer Science, or a related field

Principal Scientist Business Unit: DALP Location: Bangalore About Adobe Adobe leads the digital experience revolution, empowering creators and global brands with innovative tools to design, deliver, and transform how companies interact with customers across every screen. Recognized for 20 consecutive years on Fortune s 100 Best Companies to Work For, Adobe fosters an inclusive, collaborative, and growth-driven culture where new ideas thrive. Role Summary As Principal Scientist for Adobe Learning Manager (ALM), you will spearhead the architecture and delivery of a next-generation, AI-powered eLearning platform supporting tens of millions of learners globally with 40% YoY growth. Your mission is to design scalable, resilient, and ACID-compliant systems that handle unpredictable workloads while enabling hyper-personalized learning experiences through generative AI. Key Responsibilities Lead the technical vision, design, and roadmap for ALM s scalable SaaS platform. Deliver high-performance web services tailored to evolving business needs with a strong focus on scalability, security, and stability. Develop and refine engineering and business processes to enhance team productivity and product quality. Architect solutions that elegantly split complex workflows between data lakes and business logic layers. Mentor and guide junior engineers, fostering innovation and technical excellence. Stay ahead of industry trends and integrate cutting-edge technologies to maintain Adobe s competitive edge. Lead customer-centric initiatives and collaborate closely with cross-functional teams to deliver impactful solutions. What You Need to Succeed Bachelor s degree in Computer Science or Software Engineering. 15+ years of experience building and maintaining highly available, scalable SaaS services, with at least 4 years as a Lead or Chief Architect. Expert proficiency in Java, Spring framework, Tomcat, AWS Cloud, and relational databases like MySQL. Strong problem-solving skills coupled with excellent verbal and written communication abilities. Passion for solving complex customer challenges and pioneering new technological and UX frontiers. Ability to thrive amid ambiguity and shifting priorities while leading technical and non-technical stakeholders. Join a global leader driving innovation in digital experiences and eLearning. At Adobe, you ll influence the future of learning technology, work alongside passionate experts, and be part of a culture that values creativity, diversity, and continuous growth. Qualification : Bachelors degree in Computer Science or Software Engineering.

Senior Data Scientist Location: Bengaluru Department: Global Strategic Services Data Science EMEA Employment Type: Full-Time | Hybrid About Cognite Cognite is a global SaaS pioneer leveraging AI and data to solve complex business challenges in industries such as Oil & Gas, Chemicals, Pharma, Manufacturing, and Energy. Our key products include Cognite Atlas AI, an industrial agent workbench, and the Cognite Data Fusion platform. We are recognized as a 2022 Technology Innovation Leader and 2024 Microsoft Energy and Resources Partner of the Year. Our Values Impact: Driving meaningful outcomes. Ownership: Taking responsibility beyond comfort zones with inclusivity. Relentless: Innovating with determination and resilience. About the Role As a Senior Data Scientist, you will work in cross-functional teams delivering AI- and physics-based solutions that optimize operations and support decision-making in heavy-asset industries like Oil & Gas, Power & Utilities, Renewables, and Manufacturing. You will engage with customers, lead solution scoping, design, deployment, and operationalization using Cognite s data platform. What You ll Do Lead design and development of machine learning and physics-based models for industrial problems. Collaborate with data scientists, engineers, solution architects, and project managers to deliver scalable solutions. Conduct workshops and advise customers on solution approaches and pitfalls. Build and deploy dashboards and visualizations for data-driven insights. Mentor junior team members and promote best software practices including testing and documentation. Contribute to production-grade deployments and cloud-native solutions. Stay updated with emerging GenAI technologies and integrate them into customer use cases. Who You Are 5+ years as a Data Scientist, preferably in Oil & Gas, Maintenance, or Manufacturing domains. 1+ years as a domain expert on projects involving customer engagement. Proficient in Python, ML libraries (scikit-learn, Keras), and data visualization tools (PowerBI, Grafana, Tableau, Plotly Dash, Streamlit). Advocate for software best practices: automated testing, documentation, and version control (Git). Experienced contributor to large software projects. Pragmatic with the ability to balance short- and long-term priorities. Effective communicator with strong stakeholder management skills. Experienced mentor and quality assurer for junior colleagues. Cloud experience with serverless functions and production deployments. Proven success working across diverse industries. Eager to explore and apply GenAI developments in practical solutions. Work in a diverse global community with 70+ nationalities and a strong DEI focus. Modern hybrid work environment based in Bengaluru (Rathi Legacy, Hoodi). Flat organizational structure with direct access to decision-makers. Opportunity to collaborate on ambitious projects across industries. Access to ongoing learning and a vibrant internal community (HUB). Make an Impact Cognite is driving the future of industrial data innovation. Join us to help industries become more efficient, sustainable, and digitally transformed. We welcome candidates from all backgrounds apply today to be part of our journey!

Principal Systems Development Engineer Thermal Controls Location: Bengaluru, India Team: Systems Development Engineering Company: Dell Technologies Role Overview As a Principal Systems Development Engineer specializing in Thermal Controls, you ll lead the design and validation of advanced cooling algorithms for Dell s server products, especially those geared towards AI, HPC, and enterprise applications. Your role bridges hardware, firmware, and software to deliver efficient, reliable thermal management systems and uncover innovation opportunities. Key Responsibilities Design, document, implement, and validate thermal control algorithms in collaboration with Dell s global systems management software and thermal teams. Debug and validate thermal control features on live server hardware. Set up and operate servers with varying configurations to test thermal control functionality. Diagnose and route field issues, contributing to resolution strategies. Develop or enhance automation tools to support thermal design and validation workflows. Essential Requirements 5+ years of industry experience in: Mechatronics Thermal controls Electronics cooling Hardware/firmware debugging Strong programming skills in Python, C, or similar languages. Familiarity with server systems: BIOS, CPLD, BMC, device drivers. Proficiency in Linux OS and strong understanding of general OS principles. Excellent debugging, problem-solving, and communication skills. Desirable Qualifications Bachelor s or Master s degree in: Computer Engineering Mechanical Engineering with a focus on controls or mechatronics Experience designing and implementing electronic cooling solutions (hardware to firmware). Proficiency with CAD tools (especially CREO) for mechanical and thermal design. You ll work on thermal control systems that enable the latest in AI and high-performance computing, shaping the future of Dell s data center and server technologies. Dell s engineering culture offers hands-on collaboration, career development, and the opportunity to lead innovations at the intersection of hardware, firmware, and software.

Data Scientist III Advanced Analytics Role at Meesho Location: Bangalore, Karnataka | Department: Tech About the Data Science Team at Meesho Our Data Science team is the engine driving intelligent decision-making at Meesho. Known internally as the Avengers to our S.H.I.E.L.D, we tackle mission-critical challenges using cutting-edge data science to empower millions of users and small businesses across Bharat. From fraud detection and inventory optimization to platform vernacularization, we re shaping the future of e-commerce in India through data innovation. As a Data Scientist III, you'll be solving complex problems in a rapidly evolving market. You ll lead initiatives that translate data into strategic insights and scalable models, impacting business across various functions. About the Role If you thrive on solving high-impact data problems and love deriving actionable solutions from large datasets, you may be the next Data Scientist III at Meesho. Your primary responsibility will be to increase the utility of business data through experimentation, modeling, and strategic insights. This role involves significant collaboration with cross-functional teams, mentorship, and ownership of critical analytics workflows. What You ll Do Build and deploy machine learning models to extract insights from complex data Run experiments to test hypotheses and evaluate product performance Drive product usability improvements and uncover new growth opportunities Analyze reseller preferences and personalize product offerings Create effective discount strategies to support reseller success Enhance understanding of end-user behavior for improved targeting Uncover supply chain inefficiencies and improve SLA performance Predict seasonal and regional demand to guide planning decisions Mentor junior data scientists and contribute to team development What You ll Need Bachelor s or Master s degree in Computer Science, Data Science, or a related technical field 4 7 years of experience as a Data Scientist, ideally in a fast-paced B2C company Proficiency with Neural Networks, supervised/unsupervised learning, and ML frameworks Expertise in Python, SQL, and R for data analysis and model development Strong knowledge of statistics, linear algebra, and model validation techniques Experience in designing, running, and analyzing A/B tests Exceptional problem-solving and communication skills Experience working closely with product and engineering teams Bonus Points For: Work on personalization systems or recommendation algorithms Familiarity with Big Data technologies like Apache Spark, Hadoop, or Redshift About Meesho Meesho is India s leading social commerce platform, empowering over 1.75 million sellers to grow their businesses online. We offer a unique business model with zero commission fees and the lowest shipping costs, supported by a powerful tech ecosystem and pan-India logistics network. Our platform is built for first-time internet users and small business owners alike, democratizing e-commerce across every corner of the country. Our Mission Democratizing Internet Commerce for Everyone Meesho s goal is to enable 100 million small businesses to succeed online. With relatable, affordable merchandise and innovative seller support tools, we help entrepreneurs reach new customers and scale efficiently. Our Culture and Total Rewards At Meesho, we cultivate a high-performance, people-first culture supported by our 11 guiding Mantras. We prioritize continuous learning, collaboration, and transparency, and back it up with industry-leading employee experiences. Our Total Rewards Include: Market-leading compensation with both cash and equity components Access to MeeCare Program for physical, mental, financial, and social wellness Comprehensive medical coverage for employees and families Parental benefits, generous leave policies, and retirement plans Support for learning and career development through structured programs Employee engagement, flexible benefits, relocation assistance, and much more We re more than just a company we re a movement redefining online commerce in India. If you re a passionate data expert ready to lead high-impact initiatives, apply now and become a part of Meesho s incredible journey. Qualification : Bachelors or Masters degree in Computer Science, Data Science, or a related technical field

Principal Software Engineer StoreFront Team Location: Bangalore, Karnataka Hybrid Work (2 3 days in office/week) Experience: 10 14 Years About the Role Swiggy is looking for an experienced Principal Software Engineer to join our StoreFront Engineering team. This team is at the heart of Swiggy s customer experience across all major business lines Food, Instamart, Genie, and Stores. You will play a critical role in building highly scalable systems that power personalized discovery, seamless ordering, efficient payments, and data-driven merchandising for millions of users. About the Team The StoreFront team develops intelligent and robust systems including: Intent-driven merchandising and smart cataloging Relevance-based search and checkout management Multi-tenant payment platforms and Swiggy Money wallet integrations Scalable solutions supporting millions of transactions per day with 99.95% uptime What You Will Do Architect, design, and operate high-scale, distributed, low-latency systems with real-time capabilities. Lead development and expansion of Swiggy s multi-tenant ordering, payments, and wallet platforms across multiple verticals. Define and execute the long-term technology vision across the StoreFront organization. Make key technology and tool decisions to improve scalability, efficiency, and maintainability. Write and review code, contribute to system design, and drive end-to-end implementation and delivery. Act as a technical mentor and guide engineering best practices, including architectural reviews, coding standards, and operational excellence. 10 14 years of software development experience, with a proven track record of building and scaling high-performance, distributed systems. Strong proficiency in programming languages like Java or Golang (required). Deep understanding of data structures, algorithms, and design patterns. Hands-on experience with real-time systems, multi-tenant architectures, and microservices. Experience building platforms that serve millions of daily active users at scale. Familiarity with Swiggy s technology stack (e.g., Redis, Kafka, AWS, MySQL, NoSQL, Kubernetes) is a plus. Knowledge of machine learning and predictive modeling is a strong advantage. Strong analytical, problem-solving, and communication skills. This is a high-impact, high-ownership opportunity to influence core customer-facing systems in one of India s largest tech-first consumer platforms. You will be working with world-class engineers and leaders, solving complex challenges, and contributing to a product used by millions every day. Equal Employment Opportunity Swiggy is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees regardless of race, religion, gender, sexual orientation, age, disability, or any other legally protected characteristics.

Principal Applied Scientist Location: Bangalore, Karnataka, India Employment Type: Full-Time Overview Join the Computational Advertising Team within the AI & Research organization at Microsoft. We are seeking a passionate Principal Applied Scientist with expertise in machine learning, deep learning, natural language processing, and optimization. The team works on some of the most exciting problems in machine learning, powering the search advertising ecosystem of Bing, which holds a 30% share of desktop search in the US and a significant presence worldwide. The Principal Applied Scientist will contribute to building large-scale machine learning systems that model user responses, ranking, and various other business applications. Your work will have direct business impact, collaborating with top-tier machine learning scientists and engineers to deliver innovative solutions. Key Responsibilities Design & Implement ML Algorithms: Develop, tune, and analyze complex algorithms for large datasets and real-time systems in the advertising ecosystem. Productionize Machine Learning Models: Focus on deploying machine learning models in large-scale production environments, ensuring high-quality and sustainable performance. Collaborate with Experts: Work closely with cross-functional teams of scientists and engineers to integrate advanced machine learning techniques into production systems. Research & Development: Contribute to ongoing research in machine learning, optimization, and information retrieval to advance the core technologies in search advertising. Mentorship & Thought Leadership: Share your expertise with the team, mentor junior scientists, and help shape the direction of research efforts within the team. Qualifications Required Qualifications: Bachelor's degree in Statistics, Econometrics, Computer Science, Electrical Engineering, or related field AND 6+ years of relevant experience (e.g., statistics, predictive analytics, research), OR Master's degree in a related field AND 4+ years of relevant experience, OR Doctorate in a related field AND 3+ years of relevant experience, OR Equivalent experience in machine learning, research, or applied statistics. Additional Requirements: Strong understanding of probability, statistics, machine learning, A/B testing, and optimizing ML models for accuracy. Experience with distributed computing systems (e.g., Hadoop, Spark) for large-scale training and prediction with ML models. Hands-on experience implementing machine learning algorithms from research papers to production systems. Expertise in TensorFlow or PyTorch and deep learning models. Preferred Qualifications: Solid understanding of natural language processing (NLP), information retrieval, and optimization techniques. Experience working with large-scale, real-time systems and databases. Strong track record of delivering machine learning systems to production and optimizing them at scale. Microsoft s mission is to empower every person and organization on the planet to achieve more. At Microsoft, you ll have the opportunity to work with the brightest minds, contribute to cutting-edge AI advancements, and make a significant impact in a growing $100 billion global market. Employee Benefits Industry-leading healthcare coverage Generous paid time off and family leave policies Access to continuous learning and professional development resources Employee discounts and savings programs Opportunities to collaborate with the world s leading AI experts Global networking and community engagement opportunities Microsoft is an equal opportunity employer. We are committed to fostering an inclusive environment where all individuals are treated with respect, regardless of race, gender, religion, disability, or any other characteristic protected by law. Qualification : Bachelor's degree in Statistics, Econometrics, Computer Science, Electrical Engineering, or related field AND 6+ years of relevant experience (e.g., statistics, predictive analytics, research), OR Master's degree in a related field AND 4+ years of relevant experience, OR Doctorate in a related field AND 3+ years of relevant experience, OR Equivalent experience in machine learning, research, or applied statistics.

Machine Learning Engineer 5 Location: Bangalore, Karnataka, India Employment Type: Full-Time About Adobe Adobe is transforming the world through digital experiences. From individual creators to global enterprises, our tools empower everyone to create stunning visuals, videos, applications, and more. We believe in fostering an inclusive and innovative workplace where ideas can come from anyone, anywhere and the next big breakthrough could be yours. The Opportunity Adobe Express enables users from beginners to professionals to design eye-catching content with ease, powered by advanced AI technologies. At the heart of this mission is the AI Foundations team, which is building modular, reusable AI systems and the Horizon AI Stack to supercharge the Adobe Express experience. As a founding member of this elite team, you will tackle strategic AI challenges and deliver scalable, high-impact solutions. What You ll Do Drive the vision and development of reusable, cloud-scale AI systems for Adobe Express. Collaborate with Adobe Research, Applied AI teams, and engineering stakeholders to align AI capabilities with product strategy. Lead all aspects of ML product development: data pipelines, model development, and quality evaluations. Recruit, mentor, and manage a high-performing team of ML engineers and data scientists. Balance cutting-edge research with business-critical deliverables prototyping new ideas, validating, and scaling them. Foster a culture of innovation, experimentation, and scientific rigor focused on solving customer problems. Ensure engineering excellence in architecture, development, and on-time delivery of AI solutions. Basic Qualifications Bachelor s, Master s, or Ph.D. in Computer Science, Machine Learning, Applied Math, Data Science, or related field. 8+ years of industry experience in machine learning, deep learning, or optimization algorithms. 3+ years of experience managing ML/AI teams in a product-focused environment. Preferred Qualifications Experience working in creative tools, design platforms, or imaging domains. Familiarity with LLMs, Diffusion Models, and generative AI techniques. Proven experience in building large-scale, production-grade ML systems. What You Need to Succeed Demonstrated success in building and managing top-tier ML teams that deliver high-quality solutions. Experience shipping widely adopted AI-driven features to large customer bases. Customer-obsessed with a strong product sense and ability to translate user needs into AI capabilities. Outstanding communication skills able to articulate technical ideas to both technical and non-technical audiences. Strong problem-solving, leadership, and strategic decision-making abilities. Work at the intersection of creativity and AI building technologies that empower millions of users globally. Collaborate with world-class researchers and engineers in a mission-driven, inclusive environment. Enjoy robust career growth, leadership opportunities, and excellent employee benefits. Adobe is proud to be an Equal Opportunity Employer. We believe diversity fuels innovation and we re committed to building an inclusive environment for all employees. Qualification : Bachelors, Masters, or Ph.D. in Computer Science, Machine Learning, Applied Math, Data Science, or related field.

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.

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.

Job Title: Principal Cloud Development Engineer Location: Bengaluru, India About Cloud Software Group: Cloud Software Group (CSG), home to Citrix and TIBCO, is one of the largest global providers of cloud-based technologies, empowering over 100 million users worldwide. As a Principal Cloud Development Engineer, you will play a pivotal role in shaping the future of Desktop-as-a-Service (DaaS) solutions helping deliver secure, scalable, and intelligent platforms that drive modern work experiences from anywhere. We re entering an era of accelerated innovation and transformation now is the perfect time to bring your technical leadership, cloud expertise, and mentorship mindset to the forefront. About This Team: The DaaS team at CSG is responsible for designing and building scalable and resilient cloud-native microservices that power Citrix s core virtualization offerings. This team collaborates across product, architecture, operations, and customer success groups to build next-gen capabilities on Azure, AWS, and other hybrid environments. Your Role and Responsibilities: As a Principal Cloud Development Engineer, you will be expected to: Lead design and architecture discussions for cloud-native solutions within the Citrix DaaS product line. Drive the development of scalable and secure backend features, with emphasis on business logic, cloud security, and performance. Mentor junior and senior engineers, guiding them in coding best practices, design decisions, and technical growth. Collaborate with Product Managers, UX Designers, Support, and Site Reliability Engineers to build customer-centric features and maintain high service uptime. Contribute to strategic technical initiatives, including the adoption of Gen AI tools, DevSecOps automation, and performance tuning of production systems. Participate in on-call escalation support, helping debug complex issues and lead incident resolution. Promote a culture of continuous learning and improvement through code reviews, technical sessions, and post-incident analysis. Required Experience and Skills: 14+ years of experience in cloud software development using .NET (C#), Java, or equivalent Object-Oriented Programming languages. Strong computer science fundamentals (algorithms, data structures, systems design). Proven track record in building and leading cloud-native microservices with modern deployment practices (CI/CD, IaC, Kubernetes, Docker). Strong cloud platform expertise, especially in Microsoft Azure or Amazon EC2. Deep understanding of cloud security, including identity/access management, encryption, compliance, and incident response. Advanced knowledge in automation scripting (Python, PowerShell). Familiarity with troubleshooting tools like Sumo Logic, Splunk, or equivalent observability platforms. Experience with Terraform, CI/CD pipelines, and managing Kubernetes-based deployments. Strong communication, collaboration, and mentoring abilities. Preferred Qualifications: Prior experience building secure services in the DaaS, VDI, or enterprise SaaS domain. Hands-on experience with Azure Active Directory, Microsoft AD, or other identity solutions. Moderate understanding of cryptographic protocols and encryption standards. Familiarity with Agile/SAFe development methodologies. Contributions to open-source or technical publications are a plus. Impact: Influence the architecture and direction of mission-critical cloud platforms used globally. Mentorship: Be a technical leader shaping the next generation of engineers. Innovation: Work with a company at the edge of a "Cambrian leap" in cloud evolution. Culture: Inclusive, forward-thinking, and driven by curiosity and collaboration. Flexibility & Benefits: Competitive salary, performance bonus, flexible work model, health insurance, wellness programs, and more. Equal Opportunity Statement: Cloud Software Group is committed to Equal Employment Opportunity and prohibits unlawful discrimination of any kind. All qualified applicants will receive consideration without regard to race, color, religion, gender, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by law.

Principal Architect Identity Management Experience: 14+ Years Education: Bachelor s Degree in Engineering (or equivalent) About Saviynt Saviynt is an identity authority platform that empowers organizations to secure and manage digital access while enabling innovation. As businesses navigate digital transformation and increasing cyber risks, Saviynt s Enterprise Identity Cloud provides unparalleled visibility, control, and intelligence to protect users while ensuring seamless access to essential tools and technologies. Role Overview As a Principal Architect Identity Management, you will be responsible for designing, deploying, configuring, and implementing Saviynt s leading Identity Governance (IGA) solutions based on customer requirements. You will provide technical leadership, consulting expertise, and industry best practices to ensure seamless solution deployment while mentoring junior engineers. Key Responsibilities Strategic Leadership & Solution Architecture Provide thought leadership on IGA solutions, with a specific focus on Saviynt s technology. Develop best-in-class solutions that align with customer functional and non-functional requirements. Serve as a trusted advisor to customers, offering consulting expertise and strategic guidance. Deployment & Implementation Architect, design, and deploy Saviynt s Identity Governance solutions. Lead implementation and integration of Saviynt with critical applications and infrastructure. Ensure compliance with approved lifecycle methodologies, documentation standards, and testing protocols. Troubleshoot and resolve technical issues through debugging, research, and investigation. Collaboration & Technical Oversight Engage directly with customers, ensuring their success through expert guidance. Provide technical oversight and mentorship to mid-level and junior engineers. Train and develop top talent to become Saviynt technology experts. Collaborate with operations and product engineering teams to advocate for new features. Pre-Sales & Business Development Support Offer technical pre-sales support for direct and partner sales teams. Provide real-world expertise in creating solutions, proof of concepts, and implementations. Conduct competitive research to address and dispel customer objections effectively. Contribute to RFP responses and proposals as needed. Process Improvement & Compliance Ensure high-quality solution delivery within the defined timeline and budget. Stay updated with industry best practices, standards, and cybersecurity trends. Adhere to Saviynt s security & privacy policies (Data Classification, Access Control, Incident Response, etc.). What You Bring 14+ years of experience in Identity Governance & Access Management (IGA/IAM). Expertise in User Lifecycle Management, Provisioning, Reconciliation, Access Certification, SOD, and Cloud Security. Strong knowledge of Java/J2EE, SQL, REST/SOAP Web Services, and Directory Services. Experience in solution architecture, customization, and deployment of Identity Management products. Hands-on experience in direct customer interaction, consulting, and advisory roles. Strong technical presentation and communication skills. Proven problem-solving and analytical skills. Experience in pre-sales, RFP responses, and proposal writing. Preferred (Good to Have): Cybersecurity certifications: CISSP, CISA, CISM, CompTIA Security+, CEH, etc. Saviynt or equivalent IGA product certification. High-growth, Platform-as-a-Service (PaaS) company revolutionizing identity security. Tremendous learning opportunities through challenging yet rewarding projects. Collaborative & inclusive work environment where your impact is valued. Work with some of the world s leading enterprises on cutting-edge IAM solutions. Saviynt is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity, sexual orientation, disability, or veteran status. If you're an experienced IAM Architect with a passion for customer success and innovation, we d love to hear from you! Qualification : Bachelors Degree in Engineering (or equivalent)