DevOps Internship

KinectiveGolden, CO
Onsite

About The Position

Kinective empowers banks and credit unions to move beyond keeping up with technology to shaping the future of banking. Our platform seamlessly connects the right tools, delivers real-time data, and drives smarter operations for more than 4,000 financial institutions nationwide. We are a fast-growing team built on individual ownership, company-wide collaboration, and setting industry-leading standards. Here, new ideas are encouraged, candid feedback is welcomed, and your growth truly matters as much as the company’s. At Kinective, we are leading the way to intelligent banking together and enjoying the journey along the way. The Data Intelligence product line helps financial institutions unify data, activate it across the organization, and use AI to drive better decisions and productivity. As a DevOps Engineering Intern, you’ll help keep this platform reliable and scalable by supporting cloud infrastructure work, automation, CI/CD improvements, and operational readiness. This internship is designed for real contribution, mentorship, and measurable impact—not “practice projects. Instead, you’ll work directly with experienced product team members, engineers, designers, QA analysts, and other DevOps professionals on meaningful projects that ship to production. This internship is ideal for students exploring early-career paths in product development engineering—and looking to graduate with practical experience, stronger technical and collaboration skills, and a clearer sense of where they want to grow next.

Requirements

  • Kinective’s internship program spans 12 weeks, beginning June 1, 2025 and concluding August 21, 2025.
  • Candidates must reside within commuting distance of our office in Golden, CO.
  • Currently pursuing a Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or a related field.
  • Working knowledge (coursework/projects are fine) in some of the following: Linux fundamentals and scripting (Bash/Shell or similar)
  • Working knowledge (coursework/projects are fine) in some of the following: Git/version control fundamentals
  • Working knowledge (coursework/projects are fine) in some of the following: CI/CD concepts or tools (any exposure is fine)
  • Working knowledge (coursework/projects are fine) in some of the following: Containers (Docker) and basic orchestration awareness (Kubernetes exposure is a plus)
  • Working knowledge (coursework/projects are fine) in some of the following: Infrastructure as Code concepts (Terraform/Ansible exposure is a plus)
  • Working knowledge (coursework/projects are fine) in some of the following: Cloud fundamentals (AWS/Azure/GCP exposure is a plus)
  • Strong problem-solving, communication, and collaborative working style.

Nice To Haves

  • Basic networking concepts (HTTP/HTTPS, DNS, TLS/SSL) and how services communicate in production environments.
  • Exposure to monitoring/observability tools (metrics/logs dashboards) through coursework or projects.

Responsibilities

  • Support cloud infrastructure and operational work that improves reliability, scalability, and delivery consistency for the Data Intelligence platform.
  • Assist with environment setup, deployment support, and platform operations alongside engineers.
  • Build automation that reduces manual effort and increases repeatability (scripts, workflow improvements, tooling).
  • Contribute to Infrastructure as Code patterns and configuration automation (Terraform/Ansible exposure helpful).
  • Help maintain and improve CI/CD workflows (build/test/release) to reduce pipeline friction and improve deployment reliability.
  • Add lightweight “release safety” improvements where appropriate (e.g., pre-deploy checks, automated validations, safer rollout patterns).
  • Contribute documentation/runbooks so releases are repeatable and easier to support.
  • Support monitoring/logging improvements (dashboards, alerts, basic observability signals) and assist with troubleshooting using logs/metrics.
  • Improve operational clarity through practical runbooks and process documentation that help teams respond consistently.
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