Site Reliability Engineer III

4 years

0 Lacs

Posted:13 hours ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

About HighLevel:

HighLevel is an AI powered, all-in-one white-label sales & marketing platform that empowers agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. We are proud to support a global and growing community of over 2 million businesses, comprised of agencies, consultants, and businesses of all sizes and industries. HighLevel empowers users with all the tools needed to capture, nurture, and close new leads into repeat customers. As of mid 2025, HighLevel processes over 4 billion API hits and handles more than 2.5 billion message events every day. Our platform manages over 470 terabytes of data distributed across five databases, operates with a network of over 250 microservices, and supports over 1 million hostnames.

Our People

With over 1,500 team members across 15+ countries, we operate in a global, remote-first environment. We are building more than software; we are building a global community rooted in creativity, collaboration, and impact. We take pride in cultivating a culture where innovation thrives, ideas are celebrated, and people come first, no matter where they call home.

Our Impact

As of mid 2025, our platform powers over 1.5 billion messages, helps generate over 200 million leads, and facilitates over 20 million conversations for the more than 2 million businesses we serve each month. Behind those numbers are real people growing their companies, connecting with customers, and making their mark - and we get to help make that happen.

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 optimisation efforts in cloud environments.
  • Experience with multiple databases Mongo, Redis, ES, Queue based etc

Requirements:

  • Experience: 4+ 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 may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.

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