Join Camber as a Senior Platform Software Engineer to enhance healthcare accessibility through innovative platform solutions.
Posted by employer 1 month ago
First seen on Joblaze 1 month ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
We're building the tooling that lets our engineers develop with LLMs both productively and safely.
Requirements
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
In this role, the Senior Platform Software Engineer at Camber focuses on enhancing the reliability and security of core services while developing tools that empower engineers to work efficiently. The position requires expertise in cloud platforms, particularly AWS, and familiarity with open-source tools like Terraform and PostgreSQL. Ideal candidates have over six years of experience in platform engineering or related fields, with a strong emphasis on incident management and cross-functional collaboration. Camber's culture emphasizes humor and a commitment to improving healthcare accessibility, making it a fitting environment for those passionate about impactful technology.
Joblaze insights
Quick facts
From the original posting
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.
Ensure the reliability of our core services, including PostgreSQL on RDS, ECS services, CI/CD build-systems and OpenTelemetry observability stack on Datadog
Drive security initiatives that address risk with minimal friction
Create tools and share the best practices that empower engineers to do their best work
Influence the team’s standards for what good looks like when it comes to non-functional requirements
Collaborate across the company to understand requirements and share knowledge
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
Comprehensive Health Coverage: Medical, dental, and vision plans with nationwide coverage, including 24/7 virtual urgent care.
Standard company text repeated across Camber's postings is omitted here.