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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer - CI/CD - **Company:** ZoomInfo Technologies Inc. - **Location:** Vancouver, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing, Computer Programming, Continuous Integration, Programming Tools, Github, Groovy, Image Management, Java Virtual Machine (JVM), Python (Programming Language), Key Management, Log Analysis, Node.Js, Management of Software Versions, AI Infrastructure, Datadog, System Availability, Large Language Models, Kubernetes Helm Charts, Kubernetes, Production Code, Terraform, Dynatrace, Docker, Pagerduty, Jenkins, Artifactory - **Published:** September 23, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pm0lzkb5vt ## About the Role * CI/CD Platforms: Deep expertise in Jenkins administration, Groovy shared-libraries, Docker-based agents, GitHub Actions, reusable workflows, self-hosted runners, secrets management, and pipeline troubleshooting. * Cloud & Containers: Strong Kubernetes(GKE) administration, cluster optimization, networking, kubernetes internals, and hands on experience with GCP and AWS services * GitOps & Delivery Tooling: Hands-on experience with ArgoCD (ApplicationSets, sync strategies, alerting), Helm chart authoring and versioning, and Argo Events or comparable event-driven delivery patterns. * Infrastructure as Code: Strong proficiency with Terraform for GKE clusters, GCP resources, and CI/CD-related modules. * Observability: Hands-on experience instrumenting and operating pipelines with Datadog - custom metrics, dashboards, monitors, and distributed tracing. * Incident Response: Experience running production on-call with PagerDuty - rotation management, alert routing, escalation policy design, and post-incident review. * Artifact & Image Management: Experience with container registries - JFrog Artifactory (including Xray/Curation scanning) and GCP Artifact Registry - and image lifecycle policies. * Programming: Comfortable shipping production code in at least one of Go, Python, or Node.js - enough to build controllers, GCP Cloud Functions, glue services, and AI-assisted pipeline tooling. * AI Development: Experience or knowledge building or deploying LLM-based applications, AI-assisted developer tooling, or managing AI infrastructure for engineering workflows. ## Description * Design & Develop: Build and operate the self-hosted GitHub Actions runner fleet on GKE including autoscaling, reliability tuning, and zombie-runner cleanup. * GitOps & Delivery: Own the ArgoCD topology powering CI/CD deployments - central architecture, cluster connectivity, ApplicationSets, production reliability (PDBs, replicas, spot-node avoidance), and event-driven flows via Argo Events + GCP PubSub. * Shared Platform Components: Maintain and evolve the Helm charts and ApplicationSet patterns used by every Kubernetes workload - versioning, release process, backward compatibility, and developer ergonomics. * Jenkins Platform Ownership: Own and evolve our Jenkins environment including shared libraries, controllers and agents, plugins, credentials integration, JVM upgrades and platform reliability. * Self-Service Tooling & Migration: build resusable GitHub actions workflows, actions, and templates, while driving migration from Jenkins and partnering on shared developer tooling * End-to-End Ownership: Lead complex platform projects from architectural design through implementation and long-term maintenance - identifying system-wide bottlenecks before they become outages, and owning the outcomes well past the ship date. * Operational Excellence: Own pipeline reliability end-to-end - observability with Datadog (dashboards, monitors, runner log analysis, cluster tracing), incident response and on-call rotation via PagerDuty, plus secrets rotation and vulnerability response. * Global Collaboration: Partner with distributed teams of architects, infrastructure and security engineers, and every product team that consumes the platform - coordinating across time zones to translate their pipeline needs into golden paths, reusable workflows, and self-service tooling. ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Give your build some love, it will give it back!](https://www.wearedevelopers.com/videos/514-give-your-build-some-love-it-will-give-it-back) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [GitLab CI pipelines for a whole company](https://www.wearedevelopers.com/videos/143-gitlab-ci-pipelines-for-a-whole-company) - [Enabling automated 1-click customer deployments with built-in quality and security](https://www.wearedevelopers.com/videos/83-enabling-automated-1-click-customer-deployments-with-built-in-quality-and-security) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)