Staff Software Engineer - Fullstack

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
• Strong knowledge of AWS Batch and Step Functions for long-running job orchestration
• Experience with AWS CDK or Terraform for infrastructure as code
• Strong 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 professional 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 code
• Encourage and model the use of AI tools for design, prototyping, and delivery acceleration
• Be the technical escalation point for complex problems across all delivery squads