Summary
DV Trading A/S is a financial services firm headquartered in Chicago, seeking a DevOps Engineer Intern for the summer of 2026. The role involves deploying and operating workloads on Kubernetes, working in a GitOps model, and contributing to internal AI-assisted tooling.
Responsibilities
- 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
Skills
- Pursuing a BS or MS in Computer Science, Computer Engineering, Information Systems, or a related field
- 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
- Coursework or projects involving Kubernetes, Prometheus/Grafana, CI/CD, Terraform/Ansible, or cloud (AWS/GCP/Azure); contributions to homelab or open source
- Thoughtful use of AI coding assistants and interest in agent patterns (tools, guardrails, human review)—not required to ship ML models
Qualifications
Must Haves
- Pursuing a BS or MS in Computer Science, Computer Engineering, Information Systems, or a related field
- 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
Nice to Haves
- coursework or projects involving Kubernetes, Prometheus/Grafana, CI/CD, Terraform/Ansible, or cloud (AWS/GCP/Azure); contributions to homelab or open source
- thoughtful use of AI coding assistants and interest in agent patterns (tools, guardrails, human review)—not required to ship ML models