Senior Software Engineer - Full Stack

Role & 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 pipelines
• Invest 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

Preferred candidate profile

• 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

• Bachelors or Masters degree in Computer Science, Engineering, or a related field, or equivalent professional experience