Sr. Devops Engineer (Cloud Infrastructure)

HighLevel; India; Remote; INR 1,000,000 - 1,500,000; Full time

Job summary

HighLevel is seeking a Sr. DevOps Engineer (Cloud Infrastructure) to ensure availability, performance, and scalability of our multi-cloud setup. You will collaborate with development and operations to build infrastructure, automate processes, and improve observability.

Lead efforts across GCP, AWS, and containerized workloads with Kubernetes (GKE). Strong emphasis on CI/CD, security, and incident response in a remote-first, globally distributed team.

Qualifications

• Minimum 4+ years in cloud infrastructure.
• Proficient in multi-cloud design and IaC.

Responsibilities

• Design, architect, and maintain scalable multi-cloud infrastructure across GCP and AWS using Terraform.
• Manage Kubernetes (GKE) clusters in production, ensuring high availability and security.
• Implement observability, telemetry, and monitoring across infra and microservices.
• Participate in on-call rotations, perform RCA, and drive reliability improvements.
• Provision and manage cloud services across GCP and AWS for production workloads.
• Build and optimize automated deployment pipelines and tooling for engineering workflows.
• Enforce security standards, networking governance, and best practices.

Skills

Cloud architecture

Incident management

Observability

Automation mindset

Cross-team collaboration

Tools

GCP

AWS

Terraform

Docker

Kubernetes (GKE)

Jenkins

GitHub Actions

ArgoCD

Bash

Python

Node.js

Go

Cloudflare

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 Channelor 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.

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 recordkeeping, 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.