AI Platform Engineer

Who We Are At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive. The Role We are hiring Platform Engineers to design and build self-service developer platforms across multi-technology environments. The role centers on Harness as the delivery backbone (CI/CD, GitOps, feature flags, IaC governance, security testing, cloud cost) and extends into the broader cloud-native stack: Kubernetes, Terraform, observability, and policy-as-code. You will own golden paths that replace ticket-driven operations with platform APIs, shorten time-to-market, and standardize how engineering teams ship software. You will also lead the rollout of agentic AI across infrastructure, DevOps, and software development. This means defining the runtime, guardrails, and integration patterns for autonomous agents inside Harness pipelines and engineering toolchains, selecting agent frameworks and MCP integrations, and proving measurable productivity gains in production work. This role combines technical leadership, hands‑on work, and mentorship in an environment that values learning, ownership, and inclusive teamwork. What you’ll do Design and build Internal Developer Platforms using Harness as the core: pipelines, environments, feature flags, deployment automation, SBOM and policy enforcement, cost guardrails. Build golden paths and reusable templates that cover the full SDLC: source, build, test, security, deploy, observe, and rollback. Integrate the platform with Kubernetes, Terraform, GitHub or GitLab, Nexus or Artifactory, SAST and SCA too...