Infrastructure Engineer, Counsel Health

• Just as comfortable in an IDE writing application code as in a terminal managing cloud infrastructure, because backend and infra aren't separate disciplines to you
• Already scripting the fix by the third time you'd otherwise have to do something manually
• Understands how a request travels from a user's browser through a load balancer, into a container, to a database, and back, and can debug any layer along the way
• Reaches for the right tool over the trendy one and would rather ship something working today than architect something perfect next quarter
• Can explain infrastructure decisions to product engineers and translate product requirements into infrastructure changes
• We value strong engineering fundamentals over familiarity with any specific tool. If you’ve built robust distributed systems and high-quality APIs before, you’ll ramp quickly in our stack

Desirable

• At Counsel, we've built a product that patients and physicians love, on a fast-moving stack. As we scale, the line between "application code" and "infrastructure" keeps blurring and we need someone who lives right at that intersection
• We're looking for a Backend Infrastructure Engineer who's equal parts software engineer and infrastructure engineer
• You won't be sitting in a silo writing Terraform all day, and you won't be shipping product features in React
• You'll own the layer in between: the CI/CD pipelines, the IaC that provisions our AWS environment, the backend services that glue our systems together, and the developer tooling that keeps a fast-growing engineering team moving
• Shape our infrastructure-as-code. Develop and maintain our cloud infrastructure using Terraform
• Build and improve CI/CD. Own our build, test, and deployment pipelines end to end. Your goal is to make deploying to production boring; fast, reliable, automatic
• Write real backend code. Contribute production backend services and core server-side systems. You write application code, rather than simply orchestrating it
• Build our core archetypes. Create production-grade patterns for new deployments, jobs, consumers, and workers. Think: an abstract base stream consumer or cron executor built for reuse across the team
• Make other engineers faster. Improve local dev workflows, cut build times, kill flaky infrastructure, and build the internal tools people actually want to use
• Strengthen security and compliance. Work closely with our security and compliance team to harden our infrastructure posture — secrets management, IAM policies, network isolation, and audit logging in a HIPAA-regulated environment
• Our backend platform is built to support large-scale AI-driven clinical systems and enterprise integrations
• Languages: TypeScript, Node.js
• Infrastructure: SQS, Temporal, AWS, GCP, Docker, Kubernetes
• Data: PostgreSQL, Redis, time-series and vector storage with GCP