Remote - Senior Software Engineer Shop

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. 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.

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.

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.

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

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.

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.

#LI-Remote

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