Dvtrading DevOps Engineer Intern at DV Trading to deploy and operate Kubernetes workloads and extend observability. Participate in platform upgrades and support service migrations under mentorship.
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.
Qualification
Pursuing a BS or MS in Computer ScienceExpected to graduate by Summer 2028Hands-on Linux fundamentals (shellNetworking basicsGit workflowPython for automation and scriptingInterest in SRE/DevOps practicesPreferredContributions to homelab or open source
Required
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.
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.
Preferred
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
