Tooling / Platform Engineer – Harness

Hudson Manpower Inc.; Atlanta (GA); On-site; USD 180,000 - 240,000; Full time

Job summary

Hudson Manpower Inc. seeks an experienced Platform Engineering Lead to own the enterprise delivery platform and drive CI/CD strategy. You will shape architecture, RBAC, governance, and adoption roadmaps while coordinating with security and finance to ensure compliant delivery across regulated workloads.

The role requires expertise in Harness and modern CI/CD toolchains, as well as governance for AI in engineering workflows. Onsite from Day 1 in Atlanta, GA on a 6–12+ month contract.

Qualifications

• 10+ years of experience in software engineering, solution architecture, or platform engineering.
• Experience in payments, fintech, merchant services, or a comparably regulated domain.
• Proven ownership of an enterprise CI/CD platform beyond simply using one.
• Strong experience with pipeline-as-code and RBAC design.
• Experience with Harness, GitLab, Azure DevOps, GitHub Actions with Argo or Spinnaker, or Jenkins at scale.
• Experience integrating security scanning into delivery pipelines and policy gates.
• Understanding of engineering delivery metrics (DORA) and their limitations.
• Strong expertise in API and integration architecture (REST, async, events).
• Cloud-native architecture and Kubernetes in production.
• Ability to influence technical direction across teams and communicate trade-offs to executives.

Responsibilities

• Own Harness platform as the enterprise delivery platform, including architecture, configuration standards, RBAC, governance, and roadmap.
• Establish reusable CI templates, libraries, caching, and patterns to maintain target build times as the org scales.
• Define deployment strategies (canary, blue-green), GitOps workflows, environment promotion paths, and change-control evidence for regulated workloads.
• Integrate SAST, DAST, SCA, container and secrets scanning across pipelines with policy gates and remediation SLAs.
• Define engineering metrics (DORA, flow, lead time) and guardrails to identify system-level constraints.
• Implement cloud cost visibility, budgets, anomaly detection, and showback/chargeback models tied to architecture decisions.
• Establish policy-as-code standards to ensure pipeline governance is versioned, reviewable, auditable.

Tools

Harness

GitLab

Azure DevOps

GitHub Actions

Argo

Spinnaker

Jenkins

Job description

Job Description

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.

• CI (Continuous Integration): Establish reusable pipeline templates, shared libraries, build caching, parallelization standards, and CI patterns to maintain build times within target as the organization scales.

• CD (Continuous Delivery): Define deployment strategies, including progressive delivery, canary, and blue-green deployments; GitOps workflows; environment and artifact promotion paths; approval gates; and change-control evidence for regulated payment workloads.

• STO (Security Testing Orchestration): Integrate SAST, DAST, SCA, container, and secrets scanning across pipelines. Collaborate with AppSec to define severity thresholds, blocking versus advisory policies, exemption workflows, and remediation SLAs.

• SEI (Software Engineering Insights): Define engineering metrics, including DORA, flow, lead time, and review latency. Establish appropriate guardrails to ensure metrics identify system-level constraints rather than evaluate individual engineers.

• CCM (Cloud Cost Management): Implement cloud cost visibility, budgets, anomaly detection, non-production autostopping, and showback or chargeback models. Connect architecture decisions to unit economics and cost optimization.

• Establish policy-as-code standards to ensure pipeline governance is versioned, reviewable, and auditable rather than manually configured through a UI.

2. SDLC Toolchain Ownership

• 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.

3. AI in the Engineering Workflow

• 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.

• Location: Atlanta, GA (Day 1 Onsite)
  Duration: 6–12+ Months Contract

• Engagement Type: Contract
  Work Arrangement: Onsite from Day 1

Required Qualifications

• 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.

Preferred Qualifications

• 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.