Development Operations Engineer

Bullhorn•Remote NOAM - Massachusetts, MA

1d•$105,000 - $115,000•Hybrid

About The Position

As a DevOps Engineer at Bullhorn, you'll be building the tools and systems that facilitate large-scale software releases safely and effectively. This includes all pipelines for building, packaging, deploying, and validating software delivery. You will help the team take code changes safely and quickly from a developer's machine all the way to production. We're a release-engineering and platform team: we build and maintain the systems that enable engineering teams to deploy with confidence. We relentlessly automate manual toil from the software delivery lifecycle. This is a hands-on building role. You'll write automations, own our deploy and CI/CD tooling, containerize and modernize our environments, and partner directly with engineering teams to remove the friction that slows them down.

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

Nice To Haves

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

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