DevOps Engineer Intern - Summer 2027 - DV Trading Inc.

OpenTalent; Chicago (IL); On-site; USD 55,000 - 69,000; Full time

Job summary

OpenTalent is seeking a DevOps Engineer Intern to join a small, global team that owns firm-wide infrastructure and platform solutions. You will ship features to production in a high-visibility role, deploying on Kubernetes and embracing GitOps with Argo CD.

You will work on observability, alerting, and platform upgrades, while learning best practices in SRE, cloud, and automation. The role emphasizes mentorship and hands-on project work.

Qualifications

• 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 conceptually.
• 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: Kubernetes, Prometheus/Grafana, CI/CD, Terraform/Ansible, or cloud; homelab/open source contributions.
• Preferred: thoughtful use of AI coding assistants and agent patterns.

Responsibilities

• Deploy and operate workloads on Kubernetes: containers, Pods, Deployments, Services, Ingress, PV/PVC.
• Work in a GitOps model using Argo CD; review merge requests and reconcile desired state.
• Extend observability with OpenTelemetry, Prometheus, Grafana, and Alertmanager in lower environments.
• Triages alerts end-to-end; document findings and escalate with evidence.
• Build dashboards and panels from metrics; add recording rules with review.
• Participate in platform upgrades following runbooks and change windows.
• Support migration of services to Kubernetes under mentorship.
• Contribute to AI-assisted tooling and safe, tool-driven agents.

Skills

Linux fundamentals

Python scripting

Git workflow

Networking basics

CI/CD concepts

Cloud concepts

SRE mindset

YAML understanding

Education

Pursuing BS or MS in CS/CE/IS

Tools

Kubernetes

Argo CD

Prometheus

Grafana

Helm

Terraform/Ansible

Docker

AWS/GCP/Azure

Job description

Overview: As a DevOps Engineer Intern, you'll work directly within a small, global DevOps team that owns firm-wide infrastructure and platform solutions. This is a high-impact, high-visibility role where your work ships to production.

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 elevate 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.

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