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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior DevOps Engineer - **Company:** DV Trading - **Location:** New York, NY, 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, Gitlab, Gitlab-ci, Kubernetes, Infrastructure Automation Frameworks, Bare Metal, Apache Kafka, Hardware Infrastructure, Terraform, Data Pipelines, Artifactory - **Published:** June 13, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=ece12b7bf2625726 ## About the Role Do you have experience in YAML?, * 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. 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