Development Operations Engineer

Bullhorn is a fast-paced, customer-focused company that develops high-quality products and services. The Development Operations Engineer will build and maintain release engineering and platform systems, including CI/CD pipelines, deployment tooling, automation, and containerized environments. The role partners with engineering teams to improve software delivery reliability, developer experience, and operational efficiency.

Responsibilities:

• Designing, building, and maintaining deploy and release pipelines, and the automation that reduces manual intervention during releases
• Building and improving our internal release tooling — for example, automating script packaging and DBA approvals, code + script deploys, and release-finishing workflows
• Advancing our CI/CD GitOps process: authoring reusable GitLab CI templates, Helm charts, and ArgoCD applications so teams can self-serve their own build and deploy pipelines
• Containerizing and modernizing our QA and lower environments (Kubernetes, Helm, Ansible) to bring them closer to production parity
• Modernizing build tools across the org to ensure we’re using the latest and greatest technology across all teams
• Attending daily team stand-ups and collaborating with a distributed, cross-functional team across US and UK time zones
• Troubleshooting deployment and infrastructure issues, and partnering with engineering teams to resolve environment-specific problems
• Leveraging AI tools (Claude Code, Claude Cowork, and similar) as a core part of how you work — writing unit tests and automation, accelerating investigation and refactoring, and finding new ways to eliminate toil
• Writing clean, well-tested automation and scripts (Python, Bash) and following solid engineering practices for the tools we own
• Contributing to documentation, runbooks, and developer enablement so knowledge is shared and not siloed
• Mentoring teammates, driving conversations about priorities and process, and independently owning complex, cross-cutting initiatives
• Working within a positive, energizing, collaborative team environment

Requirements:

• You want to be an integral part of an innovative, high-performance engineering team
• You thrive in a fast-paced, agile environment with frequent software releases
• You're an automation-first thinker — if you do something more than twice, your instinct is to automate it
• You can work through complex problems independently while knowing when to pull others in and help less experienced teammates do the same
• You're comfortable scripting and building tooling in Python and Bash/shell
• You have hands-on experience with CI/CD systems — GitLab CI/CD and/or Jenkins — including building and maintaining pipelines
• You're experienced with containers and orchestration: Docker, Kubernetes, and Helm
• You're comfortable building full-stack automation tooling — scripting and backend work in Python, and frontend/UI work in JavaScript (our internal tools have both a Python backend and a web frontend)
• You've worked with GitOps and/or infrastructure-as-code and configuration management (ArgoCD, Ansible, or similar)
• You're comfortable with Git-based workflows and modern versioning practices
• You see AI tooling as a force multiplier and are eager to use it to raise your own and the team's output
• You care about reliability, security, and developer experience, and you communicate clearly with the engineering teams you support
• You're comfortable challenging and being challenged by your teammates
• Bachelor's degree in Computer Science or a similar field, or relevant work experience
• Experience with cloud infrastructure (AWS), including services like RDS
• Experience with deployment tooling such as Octopus Deploy, and with artifact repositories (Nexus, Artifactory)
• Experience with monitoring and observability stacks (Prometheus, Grafana, Backstage, Rancher, or ELK)
• Familiarity with SQL Server and collaborating with DBA teams on script and schema deployments
• Exposure to secure SDLC / compliance considerations (SOC), and building change management into pipelines
• Experience modernizing or migrating legacy systems (e.g., ColdFusion, legacy build jobs) toward modern, containerized workflows
• Comfort working across geographically distributed teams and time zones