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# Software Engineer - Backend Services

- **Company:** Truveta Inc.
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Salary:** $155,000.0 - $190,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Cloud Foundry, Software Quality, Computer Programming, Continuous Integration, Software Debugging, Distributed Systems, Interoperability, Python (Programming Language), Open Web Application Security, Service-Oriented Architecture, Service Design, Service Layer, Software Engineering, Workflow Management Systems, Cloud Platform System, Large Language Models, Backend, Build Management, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Low Latency, Code Testing, Deployment Automation, Api Design, Terraform, Atlassian Bamboo, Docker
- **Published:** July 23, 2026
- **Apply:** https://www.dice.com/job-detail/fe93bbfc-55df-4042-8d5e-c24e8c60e2d7

## About the Role

* You have 5+ years of software engineering experience, with meaningful ownership of backend services, production systems, or platform infrastructure.
 * You have designed, built, deployed, debugged, and operated backend services in production, and you understand what it takes to keep services reliable after launch.
 * You bring strong Python backend engineering experience, including async programming, testing, packaging, API design, and maintainable service architecture.
 * You are comfortable using modern Python tooling such as uv, ruff, and ty to build clean, reliable, and maintainable services.
 * You think beyond implementation and care about production operations, including observability, reliability, incident-aware development, debugging distributed systems, and deployment troubleshooting
 * You build secure services by default, with experience in secure service design, secrets handling, token hygiene, dependency scanning, CVE triage, OWASP-aligned practices, and security patching within SLA
 * You have built backend service integrations with LLM APIs such as OpenAI, Azure OpenAI, or equivalent, with attention to reliability, security, latency, error handling, and maintainability
 * You have practical Experience in agentic AI frameworks or interoperability protocols such as LangGraph, LangChain, MCP, or A2A, and understand how these patterns support tool orchestration, service integration, and AI workflow design
 * You have hands-on experience with cloud-native platform foundations such as Kubernetes, containers, CI/CD pipelines, and infrastructure-as-code tools such as Terraform; AKS and Azure Pipelines experience is preferred
 * You understand the importance of responsible artifact and dependency management, with experience using systems such as JFrog, Docker/PyPI proxying, GPU artifact mirroring, or similar workflows
 * You have a B.S. or M.S. in Computer Science, Engineering, Artificial Intelligence, or a related technical field, or equivalent practical experience.

## Description

We are seeking a Senior Software Engineer with deep backend service engineering experience, strong production ownership, and cloud-native platform discipline. You'll design, build, deploy, and operate services that are reliable, observable, maintainable, and secure at scale. Your work will support AI-enabled healthcare workflows, but the emphasis is on building backend systems, service architecture, APIs, infrastructure integrations, and operational foundations that make those workflows dependable in production.
You'll help shape the core service and platform capabilities that make healthcare intelligence systems scalable, resilient, and trustworthy, driving real-world progress across research, care delivery, operations, and patient outcomes.

This Opportunity

Patients, doctors, and medical researchers deserve technology that is reliable, secure, and capable of turning health data into meaningful insight. As part of the Intelligence Platform and Applications team, you'll use your expertise in backend engineering, distributed systems, cloud-native infrastructure, and production operations to build the robust service layer that intelligent healthcare applications depend on.

This is an opportunity to own backend systems end to end: from service design and API development to deployment, debugging, observability, reliability, and security. You'll work across platform, application, data, and AI-enabled workflows, ensuring that services are well-architected, operationally sound, and built for long-term maintainability.

If you're motivated by purpose and enjoy building durable backend systems that support learning, decision-making, and discovery in healthcare, you'll find this an inspiring place to grow. You'll work in an ambitious, fast-paced, collaborative environment where every contribution helps make healthcare more connected, intelligent, and impactful.

We are seeking backend engineers who:

 * Design and build production-grade backend services: Experienced in service architecture, API design, async-first Python development, testing, packaging, debugging, and operating backend systems in production.
 * Own services end to end: Capable of taking services and features from design through implementation, deployment, monitoring, incident response, and ongoing maintenance.
 * Engineer for scale, resilience, and maintainability: Grounded in modular architecture, separation of concerns, code quality, observability, performance, and pragmatic design trade-offs.
 * Bring strong Python backend craftsmanship: Experienced with async programming, modern Python service patterns, well-tested code, and tools such as uv, ruff, and ty to deliver reliable, maintainable systems.
 * Support AI-enabled workflows through strong backend foundations: Experienced integrating LLM APIs such as OpenAI, Azure OpenAI, or equivalent into backend services, with attention to reliability, security, latency, error handling, and maintainability.
 * Understand modern AI service integration patterns: Practical exposure to agentic AI frameworks or interoperability protocols such as LangGraph, LangChain, MCP, or A2A, and an understanding of how these patterns support tool orchestration, service integration, and AI workflow design.
 * Improve deployment and operational reliability: Able to contribute to CI/CD template maintenance, deployment stage configuration, pipeline hardening, environment debugging, rollback strategy, and production readiness.
 * Build reliable cloud-native systems: Hands-on with Docker, devcontainers, Kubernetes, CI/CD pipelines, infrastructure-as-code patterns, AKS, Terraform/Terragrunt, and deployment automation.
 * Build secure services by default: Experienced with dependency health, Snyk/CVE triage, library upgrades, token hygiene, OWASP-aligned practices, secrets handling, and security patching within SLA.
 * Manage artifacts and dependencies responsibly: Experienced with artifact registry workflows such as JFrog, Docker/PyPI proxying, GPU artifact mirroring, package provenance, or similar dependency management practices.
 * Collaborate across boundaries: Partner effectively with platform, ML, application, data, and product engineers to transform concepts into scalable, reliable backend solutions.
 * Demonstrate senior-level ownership: Mentor peers, raise engineering standards, improve operational practices, and make pragmatic trade-offs that balance speed, quality, security, and reliability.
 * Act with purpose: Apply thoughtful engineering and security-first principles to create backend systems that advance healthcare intelligence responsibly and at scale.


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