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Founded 20 years ago and headquartered in Chicago, the
- Deploy and operate workloads on Kubernetes: containers, Pods, Deployments, Services, Ingress, and basic storage (PV/PVC concepts).
- Work in a GitOps model using Argo CD (or equivalent): reconcile desired state from git, troubleshoot sync and health, propose safe changes via merge requests.
- Extend observability: OpenTelemetry concepts, Prometheus targets and exporters, Grafana dashboards, and Alertmanager routing - always starting in lower environments.
- Triage alerts end-to-end: validate signal, correlate with recent changes, document findings, and escalate with evidence.
- Build dashboards and panels from existing metrics; add recording rules or queries only with review when appropriate.
- Participate in platform upgrades (Kubernetes components, agents, or controllers) following runbooks and change windows.
- Support migration of services from bare metal to Kubernetes under mentorship (discovery, manifests/Helm values, networking, cutover planning).
- Contribute to internal AI-assisted tooling: use AI thoughtfully (verify outputs, protect secrets and customer data), and help improve safe, tool-based agents that use internal APIs and observability data.
Qualifications & Requirements
- Pursuing a BS or MS in Computer Science, Computer Engineering, Information Systems, or a related field
- Expected to graduate by Summer 2028
- Hands-on Linux fundamentals (shell, processes, logs, permissions, basic troubleshooting).
- Networking basics: DNS, TCP/HTTP/S, ports, load balancing vs Ingress at a conceptual level.
- Git workflow: branches, merge requests, meaningful commit messages.
- Python for automation and scripting; comfortable reading YAML for Kubernetes and CI configs.
- Interest in SRE/DevOps practices: reliability, least privilege, documenting what you run.
- Preferred: coursework or projects involving Kubernetes, Prometheus/Grafana, CI/CD, Terraform/Ansible, or cloud (AWS/GCP/Azure); contributions to homelab or open source.
- Preferred: thoughtful use of AI coding assistants and interest in agent patterns (tools, guardrails, human review) - not required to ship ML models.
Compensation Range: $40.00-$50.00 per hour
About DV Trading
DV Trading, founded in 2006 in Chicago as DV Group, is a proprietary trading firm active in commodities, equities and crypto via DV Chain, its institutional crypto desk providing liquidity and OTC services. With 400+ employees across Chicago, New York and London, DV combines market making, systematic strategies and venture via DV Crypto. Candidates need strong quantitative reasoning, risk discipline and interest in 24/7 crypto markets. DV Chain and DV Trading deploy proprietary quantitative algorithms and automated market making infrastructure to supply 24/7 liquidity across digital asset markets. DV Trading brings quantitative risk management and deep liquidity provisioning across spot markets, futures exchanges, and decentralized finance protocols.