Senior Software Engineer - CICD

ZoomInfo Technologies LLC•Toronto, ON

2d•$161,360 - $242,040•Remote

About The Position

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast. This role involves designing and developing CI/CD platforms, owning GitOps and delivery tooling, maintaining shared platform components, managing Jenkins environments, building self-service tooling, and ensuring end-to-end ownership and operational excellence. The engineer will collaborate globally with various teams to translate pipeline needs into effective solutions. Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here. Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. $161,360—$242,040 USD

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(GKE) administration, cluster optimization, networking, kubernetes internals, and hands on experience with GCP and AWS services.
Hands-on experience with ArgoCD (ApplicationSets, sync strategies, alerting), Helm chart authoring and versioning, and Argo Events or comparable event-driven delivery patterns.
Strong proficiency with Terraform for GKE clusters, GCP resources, and CI/CD-related modules.
Hands-on experience instrumenting and operating pipelines with Datadog — custom metrics, dashboards, monitors, and distributed tracing.
Experience running production on-call with PagerDuty — rotation management, alert routing, escalation policy design, and post-incident review.
Experience with container registries — JFrog Artifactory (including Xray/Curation scanning) and GCP Artifact Registry — and image lifecycle policies.
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.

Nice To Haves

Experience or knowledge building or deploying LLM-based applications, AI-assisted developer tooling, or managing AI infrastructure for engineering workflows.

Responsibilities

Build and operate the self-hosted GitHub Actions runner fleet on GKE including autoscaling, reliability tuning, and zombie-runner cleanup.
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.
Maintain and evolve the Helm charts and ApplicationSet patterns used by every Kubernetes workload — versioning, release process, backward compatibility, and developer ergonomics.
Own and evolve our 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 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.
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.
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.