Job Description
Job Description
Description
We’re looking for a hands-on Principal-level engineer who can own technical direction across our multi-cloud Kubernetes platform. You’ll spend real time in Azure, keep AWS humming where we need it, and make sure we’re set up to support serious AI workloads.
Our setup is a mix of Azure (our main cloud), active AWS workloads, on-prem Windows Servers, and databases that still matter a lot. Lately, we’ve been layering in more AI-driven pieces - everything from data pipelines and automation to clinical workflows. As we grow, we’re doubling down on real platform engineering : secure, dependable systems that keep costs reasonable while letting both classic services and new AI use cases run smoothly.
This isn’t an ivory-tower architect job. You’ll design systems, write shipping code, shape our cloud +Kubernetes foundations, and guide teams on how to bring AI and automation in safely. You’ll touch infrastructure, DevOps, networking, apps—pretty much everything—and help set the engineering bar across the org.
What You'll Do
- Own and evolve our cloud / platform architecture on Azure and AWS, making sure it handles both traditional workloads and the AI stuff we’re ramping up
- Design, run, and tune Kubernetes clusters (AKS and EKS) that power backend services, data pipelines, ML training / inference, and more
- Build hybrid setups that tie Azure, AWS, and our on-prem Windows environments together cleanly
- Write solid production code in C#, Node.js / JavaScript, or Python for platform tools, automation, and internal services
- Help stand up infrastructure for AI : model serving, data flows, pipelines—whatever it takes to make AI practical here
- Push DevOps maturity : better CI / CD, IaC, testing, safe rollouts
- Champion reliability : define SLIs / SLOs, handle capacity, lead incidents, improve how we operate day-to-day
- Create self-service platform pieces so app and data teams aren’t constantly waiting on infra
- Work closely with security to bake in guardrails—especially around sensitive data and AI workloads
- Lead big projects from whiteboard to production and long-term stewardship
- Mentor senior engineers and tech leads; help everyone level up on architecture, code quality, and ops
- Keep an eye on cloud spend and drive meaningful cost optimizations across Azure and AWS
Our Technical Stack (What You’ll Live in)
Clouds : Azure first, solid AWS experience requiredContainers / Orch : Kubernetes (AKS + EKS), Docker, HelmIaC : Terraform is non-negotiable; familiarity with ARM / Bicep or CloudFormation is helpfulDevOps / CI / CD : Azure DevOps, GitHub Actions, maybe GitLab or JenkinsLanguages : Hands-on C#, JavaScript / Node.js, Python—we expect you to codeAI / Data : Experience with ML pipelines, inference endpoints, data platforms, or AI automation is a bigplusOS : Linux + Windows Server (cloud and on-prem)Networking : VNet / VPC, hybrid connectivity, load balancers, firewalls, private endpointsObservability : Azure Monitor, CloudWatch, Datadog, Prometheus / Grafana stackSecurity : IAM, secrets, encryption, audit logsQualifications
BS in CS or equivalent real-world experience8+ years building and running production cloud / hybrid systems5+ years leading architecture across teams or large domainsDeep Azure hands-on + strong AWS knowledgeProven production Kubernetes experience (not just toy clusters)Solid DevOps background : IaC, CI / CD, automationStrong networking fundamentals, especially multi-cloud / hybridReal production coding in C#, JavaScript / Node, and PythonBonus : Experience supporting AI / ML or data-heavy systemsBonus : Work in regulated spaces (healthcare, finance, etc.)Clear communicator—written and spokenYou’ll Thrive Here If
You’re genuinely a hands-on Principal-level engineer who still codes regularlyYou’ve built platforms that carry both legacy apps and modern AI workloadsYou can chase down bugs across code, K8s manifests, cloud configs, and network layers withoutblinkingYou think long-term architecture, but still get stuff shipped pragmaticallyYou care about the mission—tech decisions here directly affect patient care, and that matters to youEnvironmental Job Requirements and Working Conditions
This position is remotely based in the U.S.The target pay range for this role is : $210,000 - $220,000. Actual compensation will be determined based on geographic location (current or future), experience, and other job-related factors.Astrana Health is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. All employment is decided based on qualifications, merit, and business need. If you require assistance in applying for open positions due to a disability, please email us at humanresourcesdept@astranahealth.com to request an accommodation.
Additional Information :
The job description does not constitute an employment agreement between the employer and employee and is subject to change by the employer as the needs of the employer and requirements of the job change.
#LI-remote