Skills and Competencies
9+ years of software engineering experience with deep expertise in Python backend development (Lambda, API Gateway, FastAPI or similar).
Frontend experience with React and TypeScript sufficient to review and guide UI engineers.
Hands-on experience designing serverless architectures on AWS at production scale
Solid knowledge of AWS Batch and Step Functions for long-running job orchestration
Experience with AWS CDK or Terraform for infrastructure as code
Solid data awareness — comfortable with RDS (PostgreSQL), S3, and data pipeline concepts
Proven ability to lead technical teams and drive engineering culture
Comfortable using AI coding tools (e.g. GitHub Copilot, Cursor, or Claude) as part of daily workflow
Experience with LLM API integration in production applications and Familiarity with agentic workflows, MCP tools, or AI-native application patterns is a plus
Experience with AWS Glue for ETL pipeline development is a plus
Background in financial services or data-intensive enterprise products is a plus




Interest in prompt engineering and designing AI-augmented developer workflows is a plus

Education
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline, or equivalent qualified experience

Responsibilities
Own the overall technical architecture across multiple product squads
Define and enforce engineering standards for serverless Python development on AWS
Design AWS Batch and Step Functions orchestration patterns for long-running data pipeline jobs
Lead cross-squad architecture decisions including API design, data modelling, and infrastructure
Mentor and upskill Senior and Mid-level engineers across all squads
Collaborate with the Data Engineer to define pipeline architecture and AWS Glue patterns
Drive infrastructure-as-code practices using AWS CDK or Terraform
Champion a design-first engineering culture — investing heavily in planning before writing c

📌 Staff Software Engineer Bengaluru
🏢 Moody's Analytics
📍 Bengaluru