Tooling Engineer Harness

Dear Supplier Partner

Looking ForTooling Engineer - Harness

Location: Atlanta GA (Onsite)

Role Title: Tooling Engineer - Harness
Description:
Software delivery platform ownership Harness
Own the Harness platform as Deluxes 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 insidetarget 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 / Java / Go / ; GitHub or Atlassian toolchain.

SKILLSREQUIRED
Software delivery platform ownership Harness
Own the Harness platform as Deluxes 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 insidetarget 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 / Java / Go / ; GitHub or Atlassian toolchain.

ESSENTIALSKILLS
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.

EXPERIENCERANGEINREQUIREDSKILLS
12-14

Keyword:
Skills: Digital : Cloud Administration and OperationDigital : Application Programming Interface (API)HiTech : Software Product EngineeringAutomated Release ManagementStatic Application Security Testing
Experience Required: 8-10