Platform Engineer
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Role details
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Job description
A large financial client is looking for a platform engineer to join the team in NYC to support several cloud, DevOps, and infrastructure modernization initiatives. This individual will serve as a hands-on technical resource responsible for managing and enhancing the firm’s Azure-based platform environment, with a heavy focus on GitHub Enterprise, CI/CD automation, Kubernetes (AKS), and Infrastructure as Code. The engineer will partner closely with application teams, security, operations, data teams, and AI-focused groups to build secure, scalable, and production-ready solutions. Responsibilities include designing and supporting AKS clusters, developing and maintaining GitHub Actions pipelines, improving software delivery workflows, migrating existing Bicep infrastructure to Terraform, and creating reusable automation and deployment standards. This person will also drive documentation, operational handoff, and knowledge transfer efforts to ensure all delivered solutions are supportable and maintainable long term.
Requirements
- 7+ years of Platform Engineering, Cloud Engineering, DevOps, or Infrastructure Engineering experience in enterprise environments. * Expert-level experience with GitHub Enterprise, including GitHub Actions, repository management, self-hosted runners, permissions, policies, and CI/CD best practices. * Strong Microsoft Azure infrastructure experience, including cloud architecture, networking, security, AKS, and Infrastructure as Code. * Deep Kubernetes/AKS experience with the ability to deploy, manage, scale, and support containerized applications in production. * Hands-on Terraform experience, including building reusable modules and migrating existing Bicep environments into Terraform. * Expertise with Azure DevOps and enterprise CI/CD pipeline design. * Experience with Microsoft Entra ID (Azure AD), Okta, SSO, MFA, and identity management solutions. * Strong scripting and automation skills using Python, PowerShell, or Bash. * Experience working in financial services or other highly regulated environments. * Exposure to AI initiatives, GitHub Copilot, or enabling AI development platforms within an enterprise environment.
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