2 months ago
Base Salary
$155k - $190k/yr
Responsibilities
- Design and build production-grade backend services using service architecture, API design, async Python, testing, packaging, debugging, and operational best practices.
- Own services end to end from design and implementation through deployment, monitoring, incident response, maintenance, and reliability improvements.
- Build scalable, resilient, observable, maintainable, and secure cloud-native systems for healthcare intelligence applications.
- Integrate LLM APIs and agentic AI or interoperability frameworks into reliable backend workflows with attention to latency, error handling, security, and maintainability.
- Contribute to CI/CD template maintenance, deployment configuration, pipeline hardening, environment debugging, rollback strategies, and production readiness.
- Manage infrastructure, dependencies, artifacts, security patching, vulnerability triage, and package provenance.
- Collaborate with platform, ML, application, data, and product engineers, mentor peers, and improve engineering and operational standards.
Requirements
- 5+ years of software engineering experience with meaningful ownership of backend services, production systems, or platform infrastructure.
- Experience designing, building, deploying, debugging, and operating backend services in production.
- Strong Python backend experience including async programming, testing, packaging, API design, and maintainable service architecture.
- Experience with modern Python tooling such as uv, ruff, and ty.
- Knowledge of observability, reliability, incident-aware development, distributed-system debugging, and deployment troubleshooting.
- Experience with secure service design, secrets handling, token hygiene, dependency scanning, CVE triage, OWASP-aligned practices, and security patching.
- Experience integrating LLM APIs such as OpenAI or Azure OpenAI into backend services.
- Practical experience with agentic AI frameworks or interoperability protocols such as LangGraph, LangChain, MCP, or A2A.
- Hands-on experience with Kubernetes, containers, CI/CD pipelines, and infrastructure-as-code tools such as Terraform; AKS and Azure Pipelines experience is preferred.
- Experience with artifact and dependency management systems such as JFrog, Docker/PyPI proxying, GPU artifact mirroring, or similar workflows.
- Bachelor’s or master’s degree in Computer Science, Engineering, Artificial Intelligence, or a related technical field, or equivalent practical experience.
Benefits
- Comprehensive medical, dental, and vision insurance.
- 401K plan.
- Professional development and training opportunities.
- Flexible work hours and flexible paid time off.
- Generous parental leave.
- Regular virtual and in-person team activities.
- Hybrid work arrangement based at headquarters in the Greater Seattle area.
- Meaningful work, career-stage support, and an inclusive workplace culture.
Tech Stack
Categories
About Truveta
Truveta is a real-world intelligence company transforming medical science with unprecedented data and AI. Truveta powers breakthrough discoveries, accelerates regulatory-grade evidence, and unlocks real-time insights from a dataset uniquely built with and owned by US health systems—united by a mission of Saving Lives with Data.