Platform Engineer - DevOps

Job Summary

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.

Responsibilities

• 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.

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.

Key Skills

• Infrastructure as Code
• GitHub Actions
• Azure Pipelines
• Docker
• Kubernetes
• Azure Kubernetes Service
• Azure Container Apps
• APIs
• Automation scripts

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.