Sr. Devops Engineer (Cloud Infrastructure)

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.

About the role

We are looking for a Sr. DevOps Engineer (Cloud Infrastructure) to join our team and help ensure the availability, performance, and scalability across our critical multi-cloud infrastructure. You will work closely with development and operations team to build infrastructure, automate processes, enhance system reliability and improve observability

You will also lead efforts to work closely with engineering teams to optimize their cloud footprints across GCP, AWS and many more.

Key Responsibilities

• Cloud Infrastructure & Provisioning: Design, architect, and maintain scalable multi-cloud infrastructure across GCP and AWS using Infrastructure as Code (Terraform).
• Kubernetes Operations: Manage and operate Kubernetes (GKE) clusters in production on a regular basis, ensuring high availability, security, and workload scalability.
• Observability & Monitoring: Implement robust observability, telemetry, and monitoring across infrastructure and microservices to enhance system reliability and proactive detection.
• Incident Management & On-Call Support: Participate in on-call rotations, lead incident response, perform root cause analysis (RCA), and drive long-term reliability improvements.
• Multi-Cloud & Service Management: Provision, configure, and maintain various GCP and AWS cloud services supporting production workloads.
• CI/CD & Automation Integration: Build and optimize automated deployment pipelines and platform tooling to facilitate smooth engineering workflows.
• Security & Best Practices: Enforce cloud infrastructure security standards, networking governance, access controls, and operational best practices.

Required Skills & Qualifications

• Experience: 4+ years in GCP or other public cloud platforms; Kubernetes (GKE) in production.
• Containerization: Strong experience with Docker and Kubernetes.
• CI/CD Expertise: Hands-on experience in Jenkins pipelines (Groovy), GitHub Actions, ArgoCD or equivalent systems.
• Scripting: Comfortable with scripting for automation (Bash, Python preferred); familiarity with Node.js /GoLang is a plus.
• Observability: Experience tracking and reporting key metrics for workloads, networking etc.
• Tooling: Proficient in Terraform and other IaaC tools; Cloudflare, networking, or edge security
• Collaboration: Strong communication skills; ability to work closely with developers, QA, and platform teams to streamline workflows.

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