Lead Software Engineer

Capital One · Bangalore, In, India

Bangalore, In, India10+ yearsPosted 27 Oct 2026Last checked 28 Oct 2026

Free account: apply link, HR contact and an AI-written cold email

About the role

Voyager (94001), India, Bangalore, Karnātaka Lead Software Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment?  At Capital One India, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs.  We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. The Machine Learning eXperience (MLX) team is at the forefront of how Capital One builds and deploys responsible GenAI and ML models; we onboard and educate associates on the GenAI and ML platforms and products that the whole company uses; we drive new innovation and research; and we’re working to seamlessly infuse GenAI and ML into the fabric of the company. The AI experience we're creating is the foundation upon which our lines of business will continue to deliver next-generation machine learning-driven products and services for our more than 100MM customers. What You’ll Do: Lead a portfolio of diverse technology projects with deep experience in distributed systems, microservices, platform engineering, and AI/ML applications. Partner with product, design, data science, and engineering teams to define and deliver scalable AI/ML platform capabilities and developer experiences. Design and develop production-grade APIs, SDKs, libraries, microservices, and developer tools that enable teams to build, integrate, evaluate, and operate AI/ML applications. Build and integrate GenAI capabilities including LLMs, RAG, agents, tool use, orchestration, inference, and AI evaluation into enterprise platforms and applications. Develop capabilities for LLM/AI observability, evaluation, monitoring, and responsible AI, including quality, reliability, safety, and performance. Utilize various programming languages, Open Source technologies, relational/NoSQL databases, containers, Kubernetes, and a variety of AWS tools and services with a focus on scalable and serverless solutions. Provide support to existing users of the platforms/ products you own. Share your passion for staying on top of technology trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community. Basic Qualifications: Bachelor’s degree At least 10 years of experience in software engineering At least 8 years of experience building back-end services (Including but not limited to: Java, JavaScript, Python, Go, Node, Scala, TypeScript) At least 6 years of experience with a database technology (Including but not limited to: MySQL, PostgreSQL, MongoDB, Redis, Cassandra, DynamoDB)

Skills mentioned

  • Java
  • JavaScript
  • TypeScript
  • Python
  • Scala
  • Node.js
  • AWS
  • Azure
  • GCP
  • Kubernetes
  • PostgreSQL
  • MySQL

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