Lead Software Engineer

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 microservices and full stack systems integrated with GenAI and ML platforms and products
• Partner with product and design teams to develop and integrate advanced features to the platform
• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
• Develop features to enhance the overall user experience with little to no direction, knowing what non functionals to address and how
• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community
• Utilize various programming languages, Open Source technologies, Relational/NoSQL databases, Containers and a variety of AWS tools and services with a special focus on Serverless initiatives
• Provide support to existing users of the platforms/ products you own
• Debug issues across backend, frontend, middleware, infrastructure, databases and pipelines across all environments from local to production and across distributed systems
• Quickly identify root cause, implement fix, and correct any affected data

**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, SpringBoot)
• At least 6 years of experience with a database technology (Including but not limited to: MySQL, PostgreSQL, MongoDB, Redis, Cassandra, DynamoDB)
• At least 4 years of experience in a technical leadership role overseeing strategic projects
• At least 4 years of experience designing and building data intensive solutions using distributed computing and knowledge of event-driven development
• At least 4 years of experience in building Software Development Kits, in-depth understanding of Object-Oriented Programming Concept and building packages, libraries for downstream consumption
• At least 4 years of experience developing and deploying ML platform solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
• At least 3 years of experience in providing Level 1 support - monitoring systems, triaging reported incidents, performing troubleshooting, resolving simple to moderate incidents, escalating complex issues to the Level 2/Level 3 support team, and maintaining detailed documentation.

**Preferred Qualifications:**

• Experience in Agile or Kanban software development methodologies and Agile software development
• 8+ years of experience with a cloud computing provider (AWS, Microsoft Azure, Google Cloud)
• 3+ years of experience in MLOps either using open source tools like MLFlow or commercial tools
• 3+ years of experience building production-ready capabilities for large scale platforms
• 8+ years of experience with a server side application framework (Django, Express, Spring)
• Hands-on implementation of responsible AI, building solution for guard rails, model explainability, fairne…