# Senior Software Engineer - CI/CD

**Company:** [ZoomInfo](https://hotfix.jobs/companies/zoominfo)
**Location:** Remote
**Role:** DevOps / SRE
**Experience:** 5+ years
**Skills:** Jenkins, Groovy, GitHub Actions, Kubernetes, Google Kubernetes Engine, GCP, AWS, Argo Cd, Helm, Terraform, Datadog, Pagerduty, Jfrog Artifactory, Docker
**Posted:** 2026-08-13

> Builds and operates CI/CD platforms across GitHub Actions, Jenkins, Kubernetes, and cloud infrastructure. The role owns GitOps delivery, reusable developer tooling, observability, reliability, and migration initiatives across distributed engineering teams.

## Job Description

## Responsibilities
- Design and operate a self-hosted GitHub Actions runner fleet on GKE, including autoscaling, reliability tuning, and zombie-runner cleanup.
- Own the ArgoCD topology powering CI/CD deployments, including central architecture, cluster connectivity, ApplicationSets, production reliability, and event-driven flows with Argo Events and GCP Pub/Sub.
- Maintain and evolve Helm charts and ApplicationSet patterns used by Kubernetes workloads, including versioning, release processes, backward compatibility, and developer experience.
- Own and evolve the Jenkins environment, including shared libraries, controllers and agents, plugins, credentials integration, JVM upgrades, and platform reliability.
- Build reusable GitHub Actions workflows, actions, and templates while driving migration from Jenkins and partnering on shared developer tooling.
- Lead platform projects from architectural design through implementation and long-term maintenance.
- Own pipeline reliability through Datadog observability, incident response, PagerDuty on-call rotations, secrets rotation, and vulnerability response.
- Partner with architects, infrastructure and security engineers, and product teams to develop golden paths, reusable workflows, and self-service tooling.

## Requirements
- Deep expertise in Jenkins administration, Groovy shared libraries, Docker-based agents, GitHub Actions, reusable workflows, self-hosted runners, secrets management, and pipeline troubleshooting.
- Strong Kubernetes and GKE administration experience, including cluster optimization, networking, and Kubernetes internals.
- Hands-on experience with GCP and AWS services.
- Experience with ArgoCD, including ApplicationSets, sync strategies, and alerting.
- Experience authoring and versioning Helm charts.
- Experience with Argo Events or comparable event-driven delivery patterns.
- Strong proficiency with Terraform for GKE clusters, GCP resources, and CI/CD modules.
- Experience instrumenting and operating pipelines with Datadog, including custom metrics, dashboards, monitors, and distributed tracing.
- Production on-call experience with PagerDuty, including rotation management, alert routing, escalation policies, and post-incident reviews.
- Experience with container registries, including JFrog Artifactory, Xray/Curation scanning, GCP Artifact Registry, and image lifecycle policies.
- Production programming experience with at least one of Go, Python, or Node.js.
- Experience or knowledge building or deploying LLM-based applications, AI-assisted developer tooling, or AI infrastructure for engineering workflows.

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