Build Own services in the live call path — from feature delivery through deployment, monitoring, and incident follow-through.
Write code across the conversational AI stack: speech-to-text, text-to-speech, Large Language Model (LLM) orchestration, and telephony.
Build and maintain observability for your services — metrics, structured logs, distributed tracing, and alerts tied to service-level indicators (SLIs) and reliability targets you help define.
Write Infrastructure as Code using AWS CDK for containerized (ECS) and serverless (Lambda) architectures.
Build fault-tolerant telephony integrations with graceful degradation, retry logic, and error handling.
Deliver real-time conversational voice AI, including low-latency infrastructure.
Monitor and reduce spend across model providers, telephony usage, and AWS workloads without degrading latency or call quality.
Collaborate with AI Engineers on model integration and optimization work.

Computer science degree (or equivalent practical experience with data structures, systems, and distributed computing).
3+ years building and operating production backend systems.
Proficient in TypeScript and Node.js.
AWS experience (ECS, Lambda, SQS, CloudWatch, networking basics).
Infrastructure as code experience; CDK preferred, willingness to work in CDK required.
Production database experience (Postgres).
Experience owning live services in production — deployment, monitoring, observability, and incident response.
Experience with CI/CD pipelines, automated testing, and on-call operations.
Track record of debugging and resolving production incidents under time pressure.

Competitive salary package (immediate PTO)
Full benefits package.
Fidelity 401k with company match.
Fun perks including a monthly gym reimbursement, a monthly wellness reimbursement, and a monthly reading allowance.
Opportunities for continued career growth within the organization.
Fun and collaborative work environment.

Software Engineer II

Key skills