Tooling / Platform Engineer – Harness

1. Software Delivery Platform Ownership – Harness

• Own the Harness platform as the client’s enterprise delivery platform, including architecture, configuration standards, RBAC, governance model, module adoption roadmap, and vendor relationship.

• Own the software delivery toolchain, including source control, issue tracking, artifact management, static analysis, and test infrastructure.

• Manage integration architecture, entitlements, license management, upgrade and migration planning, and consolidation of redundant tools.

• Define and maintain golden paths: documented, supported, and standardized workflows that enable teams to move from code commit to production, with deviations treated as explicit decisions.

• Establish guidelines for using AI tools in software design, code generation, testing, and documentation.

• Define controls for safe AI adoption, including evaluation criteria, human review requirements, context and data-handling standards, and governance for AI-generated code entering production.

• 10+ years of experience in software engineering, solution architecture, or platform engineering, including senior architecture leadership for distributed, high-availability systems.

• Experience in payments, fintech, merchant services, or a comparably regulated transaction-processing domain.

• Proven ownership of an enterprise CI/CD platform, beyond simply using one.

• Strong experience with pipeline-as-code, templating and reuse at scale, RBAC design, secrets management, and multi-team governance.

• Experience with Harness, GitLab, Azure DevOps, GitHub Actions with Argo or Spinnaker, or Jenkins operated at scale.

• Experience integrating security scanning into delivery pipelines and establishing policy gates that engineering teams can effectively adopt.

• Working knowledge of engineering delivery metrics, including DORA or equivalent, their limitations, and potential misuse.

• Strong expertise in API and integration architecture, including REST, asynchronous messaging, event-driven patterns, and API lifecycle governance.

• Experience with cloud-native architecture and Kubernetes in production environments.

• Demonstrated ability to influence technical direction across teams without direct reporting authority and communicate technical trade-offs to executive stakeholders.

• Hands-on experience with multiple Harness modules, particularly STO, SEI, or CCM.

• Experience with policy-as-code frameworks such as OPA/Rego or equivalent.

• Experience owning cloud cost management or FinOps practices, including showback or chargeback implementation.

• Experience applying generative AI or agentic development patterns to real engineering workflows, including governance.

• Architecture leadership for large-scale API ecosystems, partner platforms, or merchant-facing onboarding.

• Experience with PCI DSS-aligned controls, IAM, or fraud/risk integration.

• Hands-on development experience with .NET, Java, Go, or Node.js.

• Experience with GitHub or Atlassian toolchains.