Senior DevOps Engineer

We're looking for a senior level DevOps Engineer to join a small, high-impact team that builds and operates the infrastructure powering DV's trading systems. You'll work on Kubernetes at scale, a firm-wide observability platform, CI/CD infrastructure, and workflow orchestration. This team built the entire platform from scratch in 2025 and now owns it end-to-end. You'll have real ownership from day one, not tickets in a queue.

Responsibilities

Kubernetes platform operations and evolution (cluster lifecycle management via Cluster API, fleet-wide upgrades, bare metal provisioning, CNI networking, storage, autoscaling, disaster recovery planning); Observability (operate and scale Mimir, Loki, Tempo, Grafana, OpenTelemetry Collector fleet, and Alertmanager; onboard teams, build dashboards, tune alerts, scale ingestion); CI/CD and GitOps (GitLab pipelines, ArgoCD, Artifactory; build reusable CI components, improve secrets integration, support trading desks onboarding); Infrastructure automation and tooling (automation for provisioning, configuration management, and self-service tooling); Platform adoption and support (work with trading desks and development teams, write runbooks, contribute to documentation, build a sustainable support model)

Requirements

5–8 years of experience in DevOps, SRE, or Platform Engineering roles; Kubernetes: deep hands-on experience operating K8s in production, including cluster lifecycle, troubleshooting, networking, storage, RBAC; Observability: production experience with Prometheus, Grafana, and alerting; familiarity with Mimir, Loki, Tempo, or Thanos; understanding of OpenTelemetry (collectors, exporters, instrumentation); GitOps and CI/CD: experience with ArgoCD, Flux, or similar GitOps tools; building and maintaining CI/CD pipelines (GitLab CI, GitHub Actions, or equivalent); artifact management (Artifactory, Nexus, or similar); Infrastructure as Code: Terraform and/or Ansible; Linux systems: systemd, networking, storage, performance troubleshooting; Programming: Go or Python for automation, tooling, and scripting; comfortable reading and writing YAML and Helm charts; Communication: ability to work with trading desks and development teams and explain K8s concepts to non-experts

Nice to have

Experience working at a trading firm; Experience with Kubeflow, Airflow, or ML pipeline orchestration; Experience with advanced Kubernetes networking (CNI plugins, network policies, service mesh); Experience with Kafka or event streaming platforms; Experience operating on-prem infrastructure (bare metal servers, IPAM, storage systems); Thoughtful use of AI coding assistants and interest in AI-assisted operational tooling; Experience with Cluster API, bare metal provisioning, or multi-cluster management

Benefits

Discretionary bonus eligibility; Medical, dental, and vision insurance; HSA, FSA, and Dependent Care Options; Employer Paid Group Term Life and AD&D insurance; Voluntary LTD, Life & AD&D insurance; Flexible Vacation policy; Retirement plan with employer match