Senior DevOps Engineer

Dvtrading

United States

Remote

USD 200,000 - 250,000

Full time

14 days+

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Benefits offered by this job

Discretionary bonus eligibility
Medical, dental, and vision insurance
HSA, FSA, and Dependent Care Options
Group Term Life and AD&D insurance
Voluntary LTD, Life & AD&D insurance
Flexible Vacation policy
401(k) with employer match

Job summary

DV Trading is seeking a senior DevOps Engineer to own and operate the on‑prem Kubernetes platform that powers our trading systems. You’ll scale the observability stack, automate CI/CD, and drive self‑service tooling across desks and engineering teams.

You’ll work with a team that built the platform from scratch and now scales to meet high demand in a fast-paced, high‑reliability trading environment. Ownership from day one is emphasized.

Qualifications

  • 5–8 years of experience in DevOps, SRE, or Platform Engineering roles.
  • Deep hands-on Kubernetes production experience: cluster lifecycle, networking, storage, RBAC.
  • Observability with Prometheus, Grafana; familiarity with Mimir/Loki/Tempo/Thanos.
  • GitOps experience with ArgoCD/Flux; CI/CD pipelines (GitLab CI/GitHub Actions).
  • Infrastructure as Code with Terraform and/or Ansible.
  • Linux fundamentals: systemd, networking, storage, troubleshooting.
  • Go or Python for automation; comfortable with YAML and Helm.
  • Excellent communication with trading desks and dev teams about platforms.

Responsibilities

  • Operate and evolve the Kubernetes platform: cluster lifecycle, upgrades, bare metal provisioning, CNI, storage, autoscaling, DR planning.
  • Run and scale on-prem observability stack: Mimir, Loki, Tempo, Grafana, OpenTelemetry, Alertmanager.
  • Own CI/CD and GitOps workflows: GitLab pipelines, ArgoCD, artifact management, onboarding trading desks.
  • Build automation tooling for provisioning and configuration management to enable fast self-service changes.
  • Partner with trading desks and developers to onboard them to the platform; write runbooks and docs.

Skills

Kubernetes
Observability
GitOps
CI/CD
Infrastructure as Code
Linux
Go
Python
YAML
Helm

Tools

Cluster API
ArgoCD
GitLab CI
GitHub Actions
Artifactory/Nexus
Terraform
Ansible
Kubeflow
Prometheus
Grafana
OpenTelemetry
Loki/Tempo
Mimir

Job description

About Us: 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.

Overview

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.

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

DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

The range below reflects the expected base salary for this position. It represents a good-faith estimate of the base pay we anticipate offering, with actual compensation determined by your experience, education, skills, and performance throughout the interview process. This role is also eligible for a discretionary bonus (at DV Trading s discretion) and DV Trading s benefits package, including the benefits listed above.

Base Salary Range$200,000 - $250,000 USD

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