Lead DevOps Engineer - Developer Productivity

About HighLevel:
HighLevel is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, HighLevel supports SMBs across 150+ countries, fueling community-driven growth rooted in real customer outcomes.
To date, businesses operating on HighLevel have generated over $7 billion in ecosystem value, demonstrating the impact of shared infrastructure at scale. By centralizing conversations, automation and intelligence into one system, we help businesses move faster, reduce complexity and execute efficiently.
Behind the platform, HighLevel powers more than 4 billion API hits and 2.5 billion message events daily. With 250 terabytes of distributed data, 250+ microservices and over 1 million domain names supported, our architecture is built for performance, resilience and long-term scalability.

Our People
With over 2,000 team members across 10+ countries, HighLevel operates as a global, remote-first organization built for speed and ownership. We value initiative, clarity and execution, creating space for ambitious people to build systems that support millions of businesses worldwide. Here, innovation thrives, ideas are celebrated and people come first, no matter where they call home.

Our Impact
Every month, HighLevel enables more than 1.5 billion messages, 200 million leads and 20 million conversations for the more than 1 million businesses we support. Behind those numbers are real people building independence, expanding opportunity and creating measurable impact. We’re proud to be a part of that.
Learn more about us on our YouTube Channel or Blog Posts

We are looking for a Lead DevOps Engineer (Developer Productivity) to join our team and help ensure the build time, build success ratio and other DORA metrics of CICD Flow are properly monitored and deployed, for increasing our developer’s productivity.

CI/CD Automation: Design, implement, and maintain robust CI/CD pipelines using Jenkins, Docker-in-Docker (DinD), and Kubernetes

Dev Tooling: Develop internal tools and frameworks to boost developer efficiency using Jenkins Shared Libraries (Groovy), SonarQube, and artifact repositories (Jfrog, Artifact Registry)

Build Infrastructure: Optimize build performance, reduce build failure rates, and improve reliability through automation and observability

Metrics & Insights: Monitor and improve key developer productivity KPIs such as build time, build failure rate, & DORA metrics (deployment frequency, lead time, mean time to recovery, change failure rate)

Developer Experience: Act as a bridge between platform and engineering teams to reduce friction in build, test, and deploy workflows

Code Quality & Security: Integrate quality gates and vulnerability scanning into pipelines using SonarQube and Jfrog Xray (or equivalent)

Toolchain Ownership: Manage and upgrade developer productivity tools in Kubernetes, ensuring scalability, security, and high availability

Experience: 7+ years in Developer Productivity, DevOps, or Tooling Engineering roles

CI/CD Expertise: Deep understanding of Jenkins pipelines (Groovy), GitHub Actions or equivalent systems

Languages: Proficient in Groovy for Jenkins pipelines; familiarity with Node.js is a plus

Containerization: Strong experience with Docker, Docker-in-Docker (DinD), and Kubernetes

Observability: Experience tracking and reporting developer productivity metrics like build time, failure rates, and DORA metrics

Tooling: Hands-on experience with SonarQube, Jfrog Artifactory/Artifact Registry, and integrating them into CI/CD workflows

Scripting: Comfortable with scripting for automation (Bash, Python preferred)

Collaboration: Strong communication skills; ability to work closely with developers, QA, and platform teams to streamline workflows