Mid-Level Software Engineer

We are hiring a Mid-Level Software Engineer with 2 to 5 years of backend engineering experience to build and maintain production integrations and data pipelines. This is a hands-on Python role for someone who enjoys operating reliable systems, owning well-scoped projects, and growing into broader design responsibilities.

What you’ll do

• Build and maintain API integrations, including authentication, pagination, rate limiting, retries, idempotency, asynchronous processing, and error handling.
• Implement and operate data workflows using tools such as Prefect, Dagster, AWS Step Functions, or Airflow.
• Investigate production issues, improve pipeline resilience, and reduce recurring incidents.
• Deliver backend projects from requirements through implementation, testing, rollout, and monitoring.
• Partner with senior and forward deployed engineers to turn customer insights into reliable product capabilities.

What we’re looking for

• 2 to 5 years of backend software engineering experience and strong Python proficiency.
• Experience building and maintaining production data or integration pipelines.
• Hands-on experience with API integrations at scale and workflow orchestration tools.
• A bachelor’s degree in Computer Science from a reputable university.
• A willingness to own day-to-day production maintenance, learn quickly, and grow with an early-stage team.
• Ability to work from the Midtown Manhattan office three days per week.

Bonus points

• Experience at an early-stage B2B SaaS startup.
• Hands-on AWS experience, including Lambda, Step Functions, ECS, SQS, or CDK.
• Experience with AI tools, agentic workflows, or LLM integrations.

Our client is building an AI platform for construction capital program owners, helping teams collect, organize, and analyze project data and documents. Backed by $7.7M in seed funding, this 20-person company combines knowledge graphs, agentic workflows, and automation to reduce manual work in a major industry. Engineers work closely with the founders and have broad influence over the product and engineering culture.