Senior DevOps Engineer

About the role

Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser. 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 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. Job 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.

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, 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.
• Preferred Skills:
• 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.
• Why This Role:
• Ownership, not tickets. This is a growing team that built and owns the entire platform. You'll have direct impact on infrastructure that trading desks depend on daily.
• Modern stack, real scale. Kubernetes at scale, a full observability platform, GitOps everywhere - all on-prem in a high-performance trading environment.
• Greenfield opportunities. Bare metal K8s, advanced observability, automated dependency mapping, AI infrastructure - there's no shortage of interesting projects.
• Small team, big impact. You won't get lost in a 50-person platform org. Every engineer on this team shapes the direction of the platform.

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