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Lead Platform Engineer – Cloud & DevOps

Remote / Online - Candidates ideally in
Denver, Denver County, Colorado, 80285, USA
Listing for: Cognizant
Remote/Work from Home position
Listed on 2026-10-12
Job specializations:
  • IT/Tech
    SRE/Site Reliability, Cloud Computing: Infrastructure & Operations, Systems Engineer, IT Infrastructure
Salary/Wage Range or Industry Benchmark: 79000 - 134000 USD Yearly USD 79000.00 134000.00 YEAR
Job Description & How to Apply Below
About the role

We are seeking a highly skilled Senior Platform Engineer – Git Hub Dev Ops & Cloud Automation to design and build scalable, self-service platform capabilities that accelerate software delivery, improve developer productivity, and reduce operational overhead. This role focuses on modern platform engineering practices, Git Hub-based Dev Ops automation, Kubernetes platforms, Infrastructure as Code, CI/CD modernization, and cloud-native engineering.

You will architect and implement resilient infrastructure solutions, developer self-service capabilities, Git Ops workflows, and AI-driven operational tooling that enable large-scale enterprise application delivery across hybrid and cloud environments.

In this role, you will:

  • Design and build self-service platform capabilities that enable engineering teams to provision and manage infrastructure with minimal operational support.
  • Architect and implement Git Hub Enterprise-based Dev Ops platforms, repository standards, branching strategies, and governance models.
  • Develop and maintain enterprise CI/CD solutions using Git Hub Actions, Git Ops, and Infrastructure as Code practices.
  • Create reusable platform components, templates, and automation workflows that standardize infrastructure provisioning and application deployments.
  • Build scalable Kubernetes-based platforms across cloud environments, including Amazon EKS and related ecosystem technologies.
  • Automate infrastructure lifecycle management using Terraform and cloud-native services.
  • Drive platform reliability through observability solutions leveraging tools such as Datadog, Prometheus, and Grafana.
  • Collaborate with development, operations, and security teams to implement Dev Sec Ops  practices, policy automation, and compliance controls.
  • Design disaster recovery, backup, and resilience strategies for mission-critical platforms.
  • Implement Git Ops deployment models using tools such as ArgoCD to improve deployment consistency and operational efficiency.
  • Evaluate and implement AI-powered platform engineering solutions using technologies such as RAG, AWS Bedrock, Open Search, and related frameworks to improve developer experience and operational productivity.
  • Analyze deployment metrics, platform health indicators, and infrastructure utilization data to drive continuous improvement and cost optimization.
  • Support incident management, root-cause analysis, and platform modernization initiatives across enterprise environments.
  • Provide technical leadership, mentoring, and architectural guidance to engineering teams.
Work model:

We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in Colfax, NC and Hartford, CT. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. These may change based on the project you are engaged in, as well as evolving business and client requirements. We will always be transparent about role expectations.

Please note:

Some roles may require in‑person interviews at Cognizant offices or client locations based on project needs.

What you need to have to be considered
  • 10+ years of experience in Platform Engineering, Dev Ops Engineering, Site Reliability Engineering, Infrastructure Engineering, or Cloud Architecture.
  • Strong expertise with Git Hub Enterprise , Git Hub Actions, repository governance, and CI/CD automation.
  • Extensive experience with Kubernetes , including Amazon EKS and Google Kubernetes Engine (GKE).
  • Strong hands-on experience with Terraform and Infrastructure as Code methodologies.
  • Experience designing and implementing enterprise-scale…
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