Senior Software Engineer - Python Fullstack Engineer

Overview

Join FactSet's Mergers & Acquisitions Data Solutions Engineering team as a Senior Software Engineer - Python Fullstack Engineer. Build and maintain data pipelines, tools, and systems supporting M&A data, deals, transactions, valuations, and market intelligence.

What you'll do

• Deliver high-quality, reusable, and maintainable code within estimated timelines.
• Perform unit and integration testing of assigned tasks.
• Provide technical solutions using effective communication and collaboration skills.
• Perform code reviews and ensure best practices are followed.
• Work in an agile team environment and collaborate with internal teams to ensure smooth product delivery.
• Own the end-to-end product and contribute individually.
• Improve performance using metrics from automatic product monitoring.
• Ensure high product stability.
• Share knowledge internally and externally with the team.
• Collaborate with engineers and Product Developers in a Scrum Agile environment using Jira and Confluence.
• Estimate task sizes and regularly communicate progress in daily standups and biweekly Scrum meetings.

What you'll need

• Bachelor's or master's degree in computer science.
• 4-6 years of overall industry experience.
• 3-4 years of experience in Python.
• Strong experience and proficiency with Python, Pandas, and FastAPI.
• Strong experience with JavaScript ES6+, TypeScript, Vue 3, Pinia, and CSS3.
• Strong analytical and problem-solving skills.
• Strong experience with API design and Test Driven Development.
• Experience with AWS cloud and CI/CD using GitHub Actions, Redis, and Pytest.
• Relational database experience, preferably with Postgres and MSSQL.
• Experience with GitHub-based development processes.
• Excellent written and verbal communication skills.
• Be organized, self-directed, and resourceful, with the ability to appropriately prioritize work in a fast-paced environment.
• Experience building and deploying production-level services.

Nice to have

• GenAI concepts like RAG, AI integration, MCP, spec-driven development, and agentic workflows, AI agents, or agent orchestration.
• Work experience with Jupyter Notebooks.
• Infrastructure as code using Terraform.
• Familiarity with Agile software development; Scrum is a plus.
• Experience working in a Linux/Unix environment.

Details

• Location: Hyderabad, India.
• Work arrangement: Hybrid setup.
• Collaborate in a Scrum Agile environment using Jira and Confluence.
• Attend daily standups and biweekly Scrum meetings.