Software Engineer, Senior

We are seeking a Senior Software Engineer to join our Platform Engineering team in Hyderabad. This is a senior full-stack individual contributor role responsible for designing, building, and delivering scalable services, features, and user experiences across our platform. The role requires hands-on development using Python, C#, Angular, AWS cloud services, and modern AI technologies.

As a senior engineer, you will own technical design decisions, evaluate trade-offs, mentor engineers, and contribute to AI Governance capabilities across explainability, observability, and prevention domains. A Typical Day in the Life Includes: Design and build production services in Python, C#, and related service technologies.

Develop corresponding front-end functionality using Angular Build and integrate features using AWS services such as Bedrock, Sage. Maker, Lambda, and EKS. Integrate LLM-backed capabilities using the Anthropic Claude API, Model Context Protocol, and related platform services Contribute to AI Governance capabilities across explain, observe, and prevent areas, moving between whichever capability the initiative needs at a given stage Own the design of features and components within the assigned area, proposing implementation approach, alternatives, and trade-offs Mentor Engineers, review their code and designs, and help raise overall engineering quality.

Participate in effort estimation and challenge estimates, scope, dependencies, or technical direction where warranted Basic Qualifications: Strong, demonstrated engineering experience shipping production software Proficiency in Python, with hands-on experience or working proficiency in C#, and PostgreSQL. Full-stack proficiency, including Angular Hands-on experience using an AI coding tool in daily development work, such as Claude Code, AWS Kiro, OpenAI Codex, or a comparable AI-assisted coding tool Working knowledge of AWS services, including Bedrock, Sage.

Maker, Lambda, and EKS Demonstrable exposure to Lang. Chain, Lang. Graph, or a comparable agentic framework, with evidence of having built with one Comfort designing a solution from a problem statement, not only implementing a fully specified design Baseline AI literacy, including understanding how AI works, where it can go wrong, where it is useful, and how to direct it effectively Ability to evaluate AI-generated outputs before relying on them and use AI-assisted tools responsibly within team standards and review processes Preferred Qualifications: Direct experience with the Anthropic Claude API and Model Context Protocol Prior work on systems with explainability, observability, or guardrail requirements Experience designing and delivering LLM-backed products, APIs, or AI-enabled production services Experience guiding engineering trade-offs, reviewing technical designs, and mentoring engineers in full-stack product delivery.