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# Senior DevOps Engineer

- **Company:** DV Trading
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Salary:** $200,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Configuration Management, Computer Programming, Computer Networks, Continuous Integration, Linux, DevOps, Disaster Recovery, Github, Python (Programming Language), Cisco Nexus Switches, Role-Based Access Control, Ansible, Prometheus, Runbook, Data Streaming, YAML, AI Infrastructure, Scripting, Istio, Grafana, Kubernetes Helm Charts, Software Troubleshooting, AI Coding Agents, Gitlab, Gitlab-ci, Kubernetes, Infrastructure Automation Frameworks, Bare Metal, Apache Kafka, Hardware Infrastructure, Terraform, Data Pipelines, Artifactory
- **Published:** October 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=021d926948ff8318

## About the Role

* 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.

## Description

* 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., * 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.