Senior Software Engineer - Full stack

Moody's Corporation; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Moody's Corporation is seeking a senior software engineer to own end-to-end delivery for a data-driven product area. You will design RESTful APIs with Python on AWS Lambda, build React/TypeScript frontends, and implement complex data access layers with relational databases and S3.

You’ll contribute to ETL pipelines, ensure robust automated tests, and participate in architecture discussions within a serverless, enterprise environment.

Qualifications

• 5+ years delivering production software systems.
• Strong Python backend with AWS Lambda, API Gateway, boto3.
• Experience with React and TypeScript frontends.
• Proven AWS serverless in production environments.
• Relational DB experience: PostgreSQL or SQL Server.
• Automated tests with pytest, moto or similar.
• CI/CD pipelines and modern DevOps practices.
• Ability to own end-to-end features with limited supervision.
• AI concepts and hands-on AI tool usage for workflow efficiency.
• Nice-to-have: AWS Glue/Step Functions/Batch; Python ETL.
• Familiarity with IaC via CDK or Terraform; LLM integration; AI-native apps.
• Experience with financial data products or analytics platforms.

Responsibilities

• Own end-to-end delivery for a defined product area across backend, frontend, and data workflows.
• Design and build RESTful APIs using Python on AWS Lambda and API Gateway.
• Develop and maintain React/TypeScript frontend components for reporting/analytics.
• Implement business logic and data access layers with relational databases and S3.
• Contribute to ETL and data pipelines under Senior Data Engineer guidance.
• Write and maintain automated tests; ensure CI/CD quality.
• Invest upfront in design, planning, and documentation before implementing.
• Participate in architecture discussions, sprint planning, and code reviews.
• Produce technical docs and API specifications; mentor junior engineers.

Skills

Python backend

AWS Lambda

API Gateway

boto3

React

TypeScript

AWS serverless

PostgreSQL/SQL Server

pytest/moto

CI/CD / DevOps

Full-stack independence

AI concepts & tools

AWS Glue / Step Functions / Batch

ETL with Python

CDK / Terraform (IaC)

LLM integration

Finance data analytics

Education

Bachelors in CS/Engineering or related field

Tools

Docker

Git

Terraform

AWS CDK

Job description

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

Skills And Competencies

• 5+ years of professional software engineering experience delivering production systems
• Strong Python backend development expertise using AWS Lambda, API Gateway, and boto3
• Solid experience building and maintaining React and TypeScript frontend applications
• Proven experience working with AWS serverless architectures in production environments
• Hands‑on experience with relational databases such as PostgreSQL or SQL Server
• Experience writing automated tests using pytest, moto, or similar frameworks
• Experience working within CI/CD pipelines and modern DevOps practices
• Ability to work independently across the full stack with minimal supervision
• Demonstrated proficiency in artificial intelligence concepts, with hands‑on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI‑powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use.
• Exposure to AWS Glue, Step Functions, or AWS Batch is a plus
• Experience with data pipelines or ETL development in Python is a plus
• Familiarity with infrastructure as code using AWS CDK or Terraform is a plus
• Curiosity about LLM integration, agentic workflows, or AI‑native application patterns is a plus
• Experience working on financial data products or analytics platforms is a plus

Education

• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline, or equivalent professional experience

Responsibilities

• Own end‑to‑end delivery for a defined product area, contributing across backend, frontend, and supporting data workflows while maintaining high engineering standards.
• Design and build RESTful APIs using Python on AWS Lambda and API Gateway
• Develop and maintain React and TypeScript frontend components for reporting and analytics experiences
• Implement business logic and data access layers integrated with relational databases and S3
• Contribute to ETL and data pipeline development under the guidance of the Senior Data Engineer
• Write and maintain automated tests and ensure code quality through CI/CD pipelinesInvest time in upfront design, technical planning, and documentation before implementation
• Participate actively in architecture discussions, sprint planning, and code reviews
• Produce clear technical documentation and API specifications
• Support and mentor Software Engineers within the squad

This role sits within a full‑stack product engineering team building data‑driven platforms for Moody’s Casualty and Financial Lines. The team focuses on modern, serverless AWS architectures, high‑quality user experiences, and strong engineering fundamentals. Engineers work closely with Product, Data, and Platform partners to deliver reliable, scalable solutions in a regulated, enterprise environment while continuously improving how software is designed, built, and operated.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.