Software Engineer

Overview

Build and scale backend product features and cloud-based services, contributing to distributed systems, performance, reliability, and the operational readiness of internal and user facing platform services.

What you'll do

• Design and develop product features aligned with the product and engineering roadmap.
• Build platform capabilities that enable AI agentic workflows, such as tool-calling APIs, workflow orchestration, and the observability and guardrails needed for agents in production.
• Scale APIs and workflows grounded in contemporary principles in scalable and robust distributed systems.
• Design with fault-tolerance, high-availability, performance, and scalability in mind.
• Ensure platform services are operationally ready and meet customer service-level commitments.
• Collaborate with teammates and contribute to code reviews and knowledge sharing.

What you'll need

• 3+ years of industry experience building distributed systems, cloud-based API services, or enterprise cloud data platforms.
• Strong computer science fundamentals and proficiency in Python.
• Experience developing reliable, enterprise-grade software or services.
• Experience with SQL and databases such as PostgreSQL, DynamoDB, or Amazon RDS.
• Ability to collaborate in a team and mentor engineers through the SDLC.
• Familiarity with data warehouse or data lake architecture and large-scale data processing.

Nice to have

• Experience with distributed computing frameworks for machine learning workloads; familiarity with Ray is a plus.

Details

• Location: Remote, US, Massachusetts.
• Full Time schedule.
• Visa sponsorship is not offered for this role.
• Base salary range for Massachusetts: $134,000 — $158,000 USD.