Own architecture and technical direction for major backend systems and initiatives, balancing product velocity with reliability, scalability, and long-term maintainability.
Lead cross-functional delivery with Product Managers and Designers by translating ambiguous problems into clear technical plans, milestones, and measurable outcomes.
Design, build, and operate applied AI systems in production, including: LLM-backed workflows and services; Retrieval patterns (RAG), embeddings, and vector stores; Evaluation frameworks, guardrails, and quality measurement; Monitoring for latency, cost, failures, and model drift.
Establish and uphold engineering best practices across the backend organization, including code quality, testing strategy, documentation, operational readiness, and incident response.
Act as a force multiplier through technical mentorship, pairing, architecture reviews, and raising standards across the engineering team.
Drive operational excellence by improving observability, performance tuning, cost efficiency, system reliability, and on-call outcomes.
Participate in an on-call rotation to support production systems and lead investigations when issues occur.
Break down complex product requirements into well-scoped workstreams that enable predictable execution and high-quality delivery.

Requirements

10+ years of experience building and operating production backend systems in consumer and/or B2B SaaS environments, including scaling and distributed systems.
Deep expertise in AWS and cloud-native architectures (EC2, Fargate, Lambda, queues) with Infrastructure as Code (Terraform).
Strong experience with Node.js, TypeScript, and modern backend frameworks (NestJS or equivalent).
Experience with Redis, Postgres, SQL, and data-intensive backend systems.
Proven ability to design scalable architectures and lead complex technical decisions across APIs, data models, async workflows, caching, and migrations.
Strong experience with Docker, CI/CD pipelines, and production deployment patterns.
Expertise in observability, reliability, and cost optimization (metrics, logging, tracing; e.g., Datadog).
Excellent communication skills and a strong record of ownership and delivery in fast-moving startup environments.
Applied AI / Generative AI (Must Have)
Hands-on experience shipping AI-enabled features into production, including LLM-backed workflows, retrieval patterns (RAG, embeddings, vector databases), evaluation and guardrails, and monitoring for quality, latency, cost, and model drift.

Benefits

100% Individual Health Coverage - We got you covered!
Equity - From day one, you’ll have a stake in our future growth.
401(k) - We support your financial future with up to 5% matching.
Annual Company Retreat in Cool Places
Flexible Time Off
Annual Work Anniversary Stipend
Monthly Wifi & Phone Reimbursement
Short Term & Long Term Disability

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

backend systemscloud-native architecturesInfrastructure as CodeNode.jsTypeScriptRedisPostgresDockerCI/CD pipelinesapplied AI

Soft skills

communicationownershipdeliverytechnical mentorshipcross-functional collaborationproblem-solvingleadershipoperational excellenceincident responsescalability