Senior Backend Engineer - Structured Data
Core
Design, build, and deploy scalable backend systems and data pipelines for generative AI tools serving the finance industry.
Role type
Senior Backend Engineer (Structured Data & AI Infrastructure)
Builds
High-throughput ETL/ELT pipelines, REST/MCP APIs, and AWS-based infrastructure for financial AI agents.
Domain
Financial Services / Generative AI / Big Data
Deliverable
production ML models
Required skills
Python, AWS (S3, Lambda), Apache Airflow, AWS Step Functions, Postgres, DynamoDB, Snowflake, Docker, Bash, Git
Preferred skills
Model Context Protocol (MCP) APIs, Serverless Architectures
Technologies
Python, AWS, Apache Airflow, AWS Step Functions, Postgres, Oracle, DynamoDB, Snowflake, Datadog, Docker, Bash, Git
Responsibilities
Architect scalable backend systems; Design and implement high-throughput ETL/ELT pipelines; Lead automation of complex data lifecycles using orchestration tools; Build and maintain high-concurrency REST and MCP APIs; Design and deploy AWS infrastructure (Serverless/Containerized); Implement full-stack observability suites.
Seniority
Senior, hands-on IC
