Platform Engineer - DevOps

Evolent; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Comprehensive benefits

Remote-friendly environment

Job summary

Evolent is seeking a Platform Engineer to transform and automate infrastructure under the Platform Engineering & Operations model. You will implement provisioned, auditable platforms and collaborate across teams to ensure reliable, scalable deployments.

You will design and build agentic AI solutions, craft secure delivery paths, and maintain CI/CD pipelines with GitHub Actions and Azure Pipelines, targeting Docker, Kubernetes, and Azure services.

Qualifications

• Experience building infrastructure as code to provision, maintain, and scale environments.
• Strong knowledge of CI/CD pipelines and automated deployments.
• Proficiency with containerization and cloud-native architectures using AWS/Azure/GCP.

Responsibilities

• Provision and change infrastructure as code; ensure reproducible environments.
• Analyze and trace dependencies and data flows across apps and infra.
• Design and build agentic AI solutions for platform, delivery, and operations work.

Skills

Infrastructure as code

CI/CD

GitHub Actions

Azure Pipelines

Docker

Kubernetes

Agentic AI

Security & compliance

Agile delivery

Tools

GitHub Actions

Azure Pipelines

Docker

Kubernetes

Azure Kubernetes Service

Azure Container Apps

Job description

Your Future Evolves Here

Evolent partners with health plans and providers to achieve better outcomes for people with most complex and costly health conditions. Working across specialties and primary care, we seek to connect the pieces of fragmented health care system and ensure people get the same level of care and compassion we would want for our loved ones.

Evolent employees enjoy work/life balance, the flexibility to suit their work to their lives, and autonomy they need to get things done. We believe that people do their best work when they’re supported to live their best lives, and when they feel welcome to bring their whole selves to work. That’s one reason why diversity and inclusion are core to our business.

Join Evolent for the mission. Stay for the culture.

Why This Role Matters

Evolent is transforming how it builds and operates infrastructure under a refreshed Platform Engineering & Operations operating model, grounded in four principles: Architecture First, Automation by Default, Reliability is a Shared Responsibility and Golden Paths Over Custom Solutions. You will turn approved designs into provisioned, automated, and documented platforms, and you will do it transparently, through formal handoffs, Office Hours reviews, and documentation your peers can actually rely on.

Agentic AI : Platform Engineering is moving toward agentic AI as a standard part of how the organization works. As agentic AI transforms the way we work, we expect our engineers to be at the forefront of that change, designing and building intelligent solutions rather than simply consuming them. This builder mentality is a core attribute we assess from the first conversation.

What You’ll Be Doing

• Provision and change infrastructure exclusively as code, so that every environment is reproducible, reviewable, and free of manual drift.
• Reverse engineer the applications and infrastructure you inherit: trace dependencies, integrations, and data flows end to end until you can explain how a system actually works.
• Design and build agentic AI solutions for platform, delivery, and operations work: identify the toil worth automating, then build, evaluate, and harden the agent that removes it.
• Build security and compliance into the delivery path: least-privilege access, secrets handling, policy-as-code guardrails, and audit evidence produced by design rather than assembled under deadline.
• Design, build, and maintain CI/CD pipelines in GitHub Actions and Azure Pipelines that deliver consistent, secure, and repeatable deployments.
• Enable container-based application delivery on Docker and Kubernetes, with a focus on Azure Kubernetes Service and Azure Container Apps.
• Build reusable cloud-native infrastructure, pipelines, and self-service capabilities that support secure and scalable delivery, including AI and ML workloads.
• Develop APIs, automation scripts, and platform integrations that remove repeat manual requests from engineering teams.
• Support and guide application teams through containerization and modern deployment patterns, and debug complex issues across the application, platform, and infrastructure layers.
• Work within agile delivery practices such as Kanban, Scrumban, and sprints to plan and deliver your work transparently.

To ensure a secure hiring process we have implemented several identity verification steps, including submission of a government issued photo ID. We conduct identity verification during interviews, and final interviews may require onsite attendance. All candidates must complete a comprehensive background check, in-person I-9 verification, and may be subject to drug screening prior to employment. The use of artificial intelligence tools during interviews is prohibited and monitored. Misrepresentation will result in immediate disqualification from consideration.

Mandatory Requirements

Employees must have a high-speed broadband internet connection with a minimum speed of 50 Mbps and the ability to set up a wired connection to their home network to ensure effective remote work. These requirements may be updated as needed by the business.

Evolent is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status. If you need reasonable accommodation to access the information provided on this website, please contact [e-mail] for further assistance.

The expected base salary/wage range for this position is $. As part of our total compensation package, Evolent is proud to offer comprehensive benefits (including health insurance benefits) to qualifying employees. All compensation determinations are based on the skills and experience required for the position and commensurate with experience of selected individuals, which may vary above and below the stated amounts.