Senior DevOps Engineer

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 not accepting unsolicited resumes from search firms. Only search firms

with valid, written agreements with DV should submit resumes in response to DV’s

posted positions. All resumes submitted by search firms to DV via e-mail, the

Internet, personal delivery, facsimile, or any other method without a valid

written agreement shall be deemed the sole property of DV, and no fee will be

paid in the event the candidate is hired by DV. 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