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share Updated Resume to vineet...@pacerstaffing.com
Pay
Range: $58-62/hr. C2C (Including 6% VMS charge)
Role: Tooling Engineer
– Harness / Software Delivery Platform Ownership – Harness
Location: Atlanta, GA
Duration: 6 Months
Experience Required: 10–12 Years
Role
Description
Software
Delivery Platform Ownership – Harness
- Own the Harness
platform as Deluxe's enterprise delivery platform, including architecture, configuration standards, RBAC
and governance model, module adoption roadmap, and vendor relationship.
- Establish policy-as-code standards so pipeline
governance is versioned, reviewable, and auditable rather than configured
manually in the UI.
CI/CD
- CI: Establish
reusable pipeline templates and shared libraries, build caching and
parallelization standards, and CI patterns that keep build times within
target as the organization scales.
- CD: Define
deployment strategies (progressive, canary, blue green), GitOps workflows,
environment and artifact promotion paths, approval gates, and
change-control evidence for regulated payment workloads.
Security
(STO)
- Orchestrate SAST, DAST, SCA, container, and secrets
scanning across pipelines.
- Work with AppSec to define severity thresholds,
blocking policies, exemption workflows, and remediation SLAs.
Engineering
Insights (SEI)
- Define engineering metrics including DORA, flow, lead
time, and review latency.
- Establish governance to ensure metrics are used for
system-level improvements rather than individual performance evaluation.
Cloud
Cost Management (CCM)
- Deliver cloud cost visibility, budgets, anomaly
detection, non-production auto-stopping, and showback/chargeback.
- Connect architecture decisions to unit economics.
SDLC
Toolchain
- Own the delivery toolchain, including source control,
issue tracking, artifact management, static analysis, and test
infrastructure.
- Manage integration architecture, entitlement and
license management, upgrade and migration planning, and tool
consolidation.
- Define documented "golden paths" from code
commit to production deployment.
AI
in Engineering Workflow
- Establish AI usage standards for design, code
generation, testing, and documentation.
- Define evaluation criteria, human review requirements,
data-handling standards, and governance for AI-generated code.
Required
Qualifications
- 10+ years in software engineering, solution
architecture, or platform engineering, including senior architecture
leadership on distributed, high-availability systems.
- Experience in payments, fintech, merchant services, or
other regulated transaction-processing environments.
- Ownership of an enterprise CI/CD platform, including
pipeline-as-code, templating, RBAC, secrets management, and multi-team
governance.
- Experience with Harness, GitLab, Azure DevOps, GitHub
Actions with Argo/Spinnaker, or Jenkins at enterprise scale.
- Experience integrating security scanning into CI/CD
pipelines and implementing policy gates.
- Strong understanding of engineering delivery metrics
(DORA or equivalent).
- Expertise in API and integration architecture,
including REST, asynchronous messaging, event-driven patterns, and API
lifecycle governance.
- Cloud-native architecture and Kubernetes production
experience.
- Ability to influence technical direction across teams
and communicate architectural trade-offs to executive leadership.
Preferred
Qualifications
- Hands-on experience with Harness modules, especially
STO, SEI, or CCM.
- Policy-as-code experience (OPA/Rego or similar).
- Cloud cost management or FinOps ownership, including
showback/chargeback implementation.
- Applied Generative AI or Agentic AI in engineering
workflows with governance.
- Architecture leadership for large-scale API ecosystems,
partner platforms, or merchant-facing onboarding.
- PCI DSS-aligned controls, IAM, or fraud/risk
integration experience.
- Hands-on development experience with .NET, Java, Go, or
Node.js.
- Experience with GitHub and Atlassian toolchain.
Essential
Skills
- Software Engineering
- Platform Engineering
- Enterprise CI/CD
- Harness Platform
- Security Scanning Integration
- Engineering Delivery Metrics (DORA)
- Cloud-Native Architecture
- Kubernetes
Good
to Have Skills
- Harness STO, SEI, CCM
- Policy-as-Code (OPA/Rego)
- Cloud Cost Management / FinOps
- Generative AI / Agentic AI
- PCI DSS
- IAM
- Fraud/Risk Integration
Keywords
/ Skills
- API (Application Programming Interface)
- DevOps CI/CD
- SecDevOps
- Microsoft Architecture
- Security Testing
- Cloud Service Management
Thank
You!
Vineet
Kumar Sharma
Senior
Recruitment Consultant
Email
ID: vineet...@pacerstaffing.com
LinkedIn:
linkedin.com/in/vineetshr
HQ:
Pottstown, PA, 19464 | Web: pacerstaffing.com