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Lead Site Reliability Engineer

HighLevel -
Remote

Apply Now

Job details

Qualifications

CI/CD
Cloud infrastructure
Incident management
Kubernetes
DevOps
Git
Bash (Unix shell)
Databases
AWS
Docker
Terraform
Continuous integration
Redis
Scripting
GitHub
APIs
JSON
Jenkins
Python
Shell Scripting

Full job description

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 Site Reliability Engineer (SRE) to join our team and help ensure the availability, performance, and scalability of our critical systems. You will work closely with development and operations teams to automate processes, enhance system reliability, and improve observability.

Responsibilities:

Develop and improve observability using monitoring, logging, tracing, and alerting tools (Prometheus, Grafana, ELK, OpenTelemetry, etc.).
Optimize system performance, troubleshoot incidents, and conduct post-mortems/RCA to prevent future issues.
Collaborate with developers to enhance application reliability, scalability, and performance.
Drive cost optimization efforts in cloud environments.
Experience with multiple databases Mongo, Redis, ES, Queue based etc

Requirements:

Experience: 7+ years in Site Reliability Engineering, DevOps, or Cloud Infrastructure roles.
Cloud Expertise: Hands-on experience with GCP and AWS.
Infrastructure as Code (IaC): Terraform, Helm, or equivalent tools.
Containerization & Orchestration: Docker, Kubernetes (GKE).
Observability: Experience with Prometheus, Grafana, ELK, OpenTelemetry, or similar monitoring/logging tools.
Programming/Scripting: Proficiency in Python, Bash, or Shell scripting. Basic understanding of API parsing and JSON manipulation.
CI/CD Pipelines: Hands-on experience with Jenkins, GitHub Actions, ArgoCD, or similar tools.
Incident Management: Experience with on-call rotations, SLOs, SLIs, SLAs, Escalation Policies, and incident resolution.
Databases: Experience in monitoring Mongo, Redis, ES, Queue based etc

EEO Statement:
The company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government record-keeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision.

We encourage you to review our Privacy Policy before submitting your application.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply Now

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