Kyndryl
SeniorPlatformEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Platform Engineer at Kyndryl. Skills: Agentic AI, Platform Engineering, DevOps, SRE. Design agent harness. Build agent harness”
What You'll Achieve.
Teams ship agents through harness; Agentic workflows run in production; Harness absorbs model upgrade; Harness absorbs provider upgrade
Industry & Context.
Loop detection; Failure detection
What They're Looking For.
Must Have
5+ years Platform Engineering, 5+ years DevOps, 5+ years SRE, 5+ years building developer platforms, 5+ years building runtime systems, 5+ years building orchestration systems, Hands-on experience building agent harnesses, Hands-on experience building agentic systems, Solid software engineering, Production systems in Python, Kubernetes, Containers, Infrastructure as Code, AWS, Azure, GCP, Working English, Working Spanish
Nice to Have
Agent frameworks experience, LangGraph experience, CrewAI experience, AutoGen experience, Model Context Protocol experience, Production use of AI tools, LLMOps experience, Agent evaluation experience, Observability for agentic systems experience, Platform engineering in regulated environments
What You'll Do.
Build reusable patterns
Define oversight model
Integrate agents with systems
Make agentic productivity measurable
Instrument agentic productivity
Keep harness model-agnostic
Keep harness versioned
How You'll Work.
Team & Collaboration
Dev; Ops; Security; People adopting agents
Process & Methodology
Policy-as-code
Full Job Description
**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** **What you will do** * Design and build the agent harness: runtime, orchestration, tool and MCP integration, context and memory, evaluation, guardrails and observability. * Build golden paths and reusable patterns so teams ship agents that are reliable, governed and measurable, instead of one-off scripts. * Define the oversight model: policy-as-code, human-in-the-loop checkpoints, loop and failure detection, evaluation harnesses, and cost control. * Integrate agents with the systems they act on: CI/CD, infrastructure, cloud services, observability and ticketing, through APIs and MCP. * Make agentic productivity measurable: define what productive means for each use case, instrument it, and run the harness on that data. * Keep the harness model-agnostic and versioned, so it survives model upgrades and provider changes without rewrites. * Mentor teams, run enablement, and reduce friction between Dev, Ops, Security and the people adopting agents. **What success looks like in your first year** * Teams ship agents through the harness golden paths instead of bespoke scripts. * Agentic workflows run in production with guardrails, evaluation and measured productivity impact. * The harness absorbs at least one model or provider upgrade without a rewrite. **Who You Are** **What you will bring** * 5+ years in Platform Engineering, DevOps or SRE, building developer platforms or runtime and orchestration systems in production. * Hands-on expe
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