Tooling Engineer - Harness

Tata Consultancy Services; Atlanta (GA); On-site; USD 95,000 - 105,000; Full time

Job summary

Tata Consultancy Services in Atlanta, GA seeks a senior platform/architecture leader to own the enterprise delivery stack, including CI/CD, security integration, and policy governance. You will shape deployment strategies, GitOps workflows, and cost-aware architecture for regulated payment workloads.

The role requires deep experience with cloud-native architectures, Kubernetes, and cross-team influence, delivering scalable, auditable pipelines and governance across the engineering organization.

Qualifications

• 10+ years in software engineering or platform leadership on distributed, high-availability systems.
• Experience in payments, fintech, merchant services, or regulated transaction-processing domains.
• Ownership of an enterprise CI/CD platform with pipeline-as-code, RBAC, and governance.
• Experience integrating security scanning into delivery pipelines.
• Knowledge of engineering delivery metrics (DORA) and their use.
• Depth in API and integration architecture: REST, async messaging, API lifecycle governance.
• Cloud-native architecture and Kubernetes in production.
• Ability to influence technical direction across teams without formal authority.

Responsibilities

• Own the Harness platform as the enterprise delivery platform, including architecture and RBAC.
• Define reusable CI patterns, templates, and governance as the org scales.
• Define deployment strategies (canary, blue-green) and GitOps workflows.
• Set policy gates, exemption workflows, and remediation SLAs for security.
• Establish engineering metrics and guardrails for system-level visibility.

Skills

Leadership experience

Payments/fintech domain

CI/CD ownership

Security integration

Engineering metrics (DORA)

API & integration design

Cloud-native & Kubernetes

Executive communication

Influencing directions across teams

REST & async messaging

Tools

Harness

GitLab

Azure DevOps

GitHub Actions

Argo

Spinnaker

Jenkins

Job description

Job Description

• Own the Harness platform as enterprise delivery platform: architecture, configuration standards, RBAC and governance model, module adoption roadmap, and the vendor relationship.
• CI — Establish reusable pipeline templates and shared libraries, build caching and parallelization standards, and CI patterns that keep build times inside[target] as the org scales.
• CD — Define deployment strategies (progressive, canary, blue-green), GitOps workflow, environment and artifact promotion paths, and the approval gates and change-control evidence required for regulated payment workloads.
• STO — Orchestrate SAST, DAST, SCA, container, and secrets scanning across pipelines. With AppSec, set severity thresholds, decide what blocks versus advises, and own the exemption workflow and remediation SLAs. Vulnerability findings without a functioning triage path are noise, not security.
• SEI — Define the engineering metrics the organization runs on — DORA, flow, lead time, review latency — and, equally, the guardrails on their use. This data is for identifying system-level constraints, not for evaluating individual engineers; own that boundary explicitly and defend it.
• CCM — Deliver cloud cost visibility, budgets, anomaly detection, non-production autostopping, and showback or chargeback to product lines. Connect architecture decisions to unit economics so cost is a design input rather than a quarterly surprise.
• Set policy-as-code standards so pipeline governance is versioned, reviewable, and auditable rather than configured by hand in a UI.

SDLC toolchain

• Own the toolchain around delivery — source control, issue tracking, artifact management, static analysis, test infrastructure — including integration architecture, entitlement and license management, upgrade and migration planning, and consolidation of redundant tools.
• Define golden paths: the documented, supported, default way a team goes from commit to production, with deviation as an explicit decision rather than drift.

AI in the engineering workflow

• Establish how AI tooling is used in design, code generation, testing, and documentation — and the controls that make it safe: evaluation criteria, human review requirements, context and data-handling standards, and governance for generated code entering production.

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 a comparably regulated transaction-processing domain.
• Ownership of an enterprise CI/CD platform — not just use of one. Pipeline-as-code, templating and reuse at scale, RBAC design, secrets management, and multi-team governance. Harness, GitLab, Azure DevOps, GitHub Actions with Argo or Spinnaker, or Jenkins operated at scale.
• Experience integrating security scanning into delivery pipelines and setting policy gates that engineering teams accept rather than route around.
• Working command of engineering delivery metrics — DORA or equivalent — including their limits and the ways they get misused.
• Depth in API and integration architecture: REST, asynchronous messaging, event-driven patterns, API lifecycle governance.
• Cloud-native architecture and Kubernetes in production.
• Track record of influencing technical direction across teams without reporting authority, and of explaining trade-offs to executives.

Preferred Qualifications

• Hands-on Harness across multiple modules — particularly STO, SEI, or CCM, which fewer organizations have deployed.
• Policy-as-code experience (OPA/Rego or comparable).
• Cloud cost management or FinOps practice ownership; showback or chargeback implementation.
• Applied generative AI or agentic development patterns to real engineering workflows, governance included.
• 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 with [.NET / Java / Go / Node.js]; GitHub or Atlassian toolchain.

Salary Range

Salary Range- $95,000-$105,000 a year