Senior Platform Software Engineer

Camber builds software to improve the quality and accessibility of healthcare. We streamline and replace manual work so clinicians can focus on what they do best: providing great care. For more details on our thesis, check out our write-up: What is Camber?

We’ve raised $50M in funding from phenomenal supporters at a16z, Craft Ventures, YCombinator, Manresa, and many others who are committed to improving the accessibility of care. For more information, take a look at: Announcing Camber

Our mission to change behavioral health starts with us and how we operate. We don’t want to just change behavioral health, we want to change the way startups operate. Here are a few tactical examples:

1) Improving accessibility and quality of healthcare is something we live and breathe. Everyone on Camber’s team cares deeply about helping clinicians and patients.

2) We have to have a sense of humor. Healthcare is so broken, it's depressing if you don't laugh with us.

We are looking for an experienced engineer to join as the third member of our Platform team. This unit operates across the stack, developing the resources and tooling that allow our engineers to efficiently develop and run services in a secure, reliable, and scalable way. We take a product mindset toward our work, building a platform that, in the words of Charity Majors, makes it “easy to do the right things and hard to do the wrong things”. That mandate increasingly includes AI: we're building the tooling that lets our engineers develop with LLMs both productively and safely, along with the infrastructure behind the AI-powered features in our product.

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  Ensure the reliability of our core services, including PostgreSQL on RDS, ECS services, CI/CD build-systems and OpenTelemetry observability stack on Datadog

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  Drive security initiatives that address risk with minimal friction

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  Create tools and share the best practices that empower engineers to do their best work

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  Influence the team’s standards for what good looks like when it comes to non-functional requirements

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  Collaborate across the company to understand requirements and share knowledge

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  Build the platform for how we develop with AI, from the tooling and guardrails engineers use with LLMs day to day to the infrastructure behind our AI-powered features

• Experience: 6+ years of platform engineering or adjacent background (SRE, DevOps, etc)

• Technical expertise: Knowledge of cloud platforms (AWS specifically), and open-source tools (Terraform, Kafka, Temporal, Postgres, OTel, etc)

• Track record of incident leadership: React calmly and quickly to urgent escalations and model best practices in follow-up. We practice blameless post-mortems and high accountability

• Judgement and planning: Know when to create the MVP and when more rigor and long-term thinking is required and execute any tasks along that spectrum

• Communication and collaboration: Know the “why” behind what we build and share that cross-functionally

• Customer empathy: We need to understand our organization’s pain points and build features that meet its needs

• Security and compliance experience in healthcare or other regulated space (HIPAA/SOC2/PCI)

• Datadog, Temporal, Kafka, Databricks, Terraform

• Monorepo CI/CD systems at scale

• Experience growing an organization of our size (series B startup, ~30 engineers)

• Experience with LLM tooling or infrastructure in production