Senior DevOps Engineer

DV Trading•New York, NY

13d•$200,000 - $250,000•Onsite

About The Position

We're looking for a mid to 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 — all on-prem in a latency-sensitive trading environment. This team built the entire platform from scratch in 2025 and now owns it end-to-end. You'll be joining at a pivotal moment: the team is growing, the platform is scaling to meet increasing demand across the firm, and there's no shortage of hard problems to solve. You'll have real ownership from day one — not tickets in a queue.

Requirements

5–8 years of experience in DevOps, SRE, or Platform Engineering roles.
Kubernetes: Deep hands-on experience operating K8s in production. Cluster lifecycle, troubleshooting, networking, storage, RBAC. Experience with Cluster API, bare metal provisioning, or multi-cluster management is a strong plus.
Observability: Production experience with Prometheus, Grafana, and alerting. Familiarity with Mimir, Loki, Tempo, or Thanos for scaled metrics, logs, and traces. 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, Jenkins, GitHub Actions, or equivalent). Artifact management (Artifactory, Nexus, or similar).
Infrastructure as Code: Terraform and/or Ansible for provisioning and configuration management.
Linux systems: Strong fundamentals — 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 directly with trading desks and development teams who depend on the platforms you build. You'll be explaining K8s concepts to people who aren't K8s experts.

Nice To Haves

Experience working at a trading firm — understanding the urgency and reliability requirements of systems that support P&L-impacting workloads.
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 (not just cloud) — bare metal servers, IPAM, storage systems.
Thoughtful use of AI coding assistants and interest in AI-assisted operational tooling.

Responsibilities

Kubernetes platform operations and evolution: Cluster lifecycle management via Cluster API, fleet-wide upgrades, bare metal provisioning, CNI networking, storage, autoscaling, and disaster recovery planning.
Observability: Operate and scale our on-prem observability stack — Mimir (metrics), Loki (logs), Tempo (traces), Grafana (dashboards), OpenTelemetry Collector fleet, and Alertmanager. Drive adoption by onboarding teams, building dashboards, tuning alerts, and scaling ingestion for growing workloads.
CI/CD and GitOps: GitLab pipelines, ArgoCD for Kubernetes deployments, Artifactory for artifact management. Build reusable CI components, improve secrets integration, and support trading desks onboarding to the platform.
Infrastructure automation and tooling: Build and maintain automation for provisioning, configuration management, and self-service tooling that enables teams across the firm to move faster without depending on DevOps for every change.
Platform adoption and support: Work directly with trading desks and development teams to onboard them to the platforms we build. Write runbooks, contribute to documentation, and help build a sustainable support model as the platform scales.