We are looking for a highly motivated and experienced Sr. Principal DevOps Engineer to design, build, and maintain scalable, secure, and highly available cloud infrastructure for our next-generation products.
The role drives DevOps activities across the engineering organization, with a strong focus on automation, CI/CD optimization, infrastructure as code, and the use of modern AI tools to improve development efficiency, reliability, and the software delivery lifecycle.
What you'll do:
Design, implement, and maintain scalable, secure, and highly available cloud infrastructure (e.g., AWS, Azure, GCP)
Develop and optimize CI/CD pipelines to improve deployment speed and quality
Monitor system performance, troubleshoot issues, and ensure high uptime and reliability
Automate provisioning, configuration management, and monitoring using tools like Terraform, Ansible, or similar
Collaborate with software engineers to understand and support their infrastructure needs
Define and enforce best practices for DevOps, infrastructure as code, security, and observability
Lead AI initiatives within the engineering group by leveraging AI-driven tools and integrating them into the CI/CD pipeline to enhance code quality and optimize the software development lifecycle
The role drives DevOps activities across the engineering organization, with a strong focus on automation, CI/CD optimization, infrastructure as code, and the use of modern AI tools to improve development efficiency, reliability, and the software delivery lifecycle.
What you'll do:
Design, implement, and maintain scalable, secure, and highly available cloud infrastructure (e.g., AWS, Azure, GCP)
Develop and optimize CI/CD pipelines to improve deployment speed and quality
Monitor system performance, troubleshoot issues, and ensure high uptime and reliability
Automate provisioning, configuration management, and monitoring using tools like Terraform, Ansible, or similar
Collaborate with software engineers to understand and support their infrastructure needs
Define and enforce best practices for DevOps, infrastructure as code, security, and observability
Lead AI initiatives within the engineering group by leveraging AI-driven tools and integrating them into the CI/CD pipeline to enhance code quality and optimize the software development lifecycle
Requirements:
Bachelors degree in computer science, Engineering, or a related field
5+ years of experience in DevOps, Site Reliability Engineering (SRE), or a similar role
Strong hands-on experience with cloud platforms (AWS, GCP, or Azure)
Proficiency with Infrastructure as Code tools (Terraform, CloudFormation)
Experience with configuration management tools
Deep knowledge of CI/CD tools
Strong scripting skills (Bash, Python, or Go)
Proficiency with containers and orchestration (Docker, Kubernetes, Helm)
Solid understanding of networking, security best practices, and Linux system administration
Excellent problem-solving, communication, and collaboration skills
Experience with monitoring and observability tools (Prometheus, Grafana, ELK,)
Exposure to zero-downtime deployments, blue-green deployments, and canary releases
Proficiency with Atlassian tools ( Bitbucket, Jira, Confluence )
Familiarity with code quality analysis tools ( linters, static analysis, etc )
Strong Git skills
Familiarity with AI-assisted development tools ( Github Copilot, Curser, Claude, etc )
Team player, fast self-learning individual, and service-oriented attitude
Education:
Bachelors degree in Computer science, Engineering, or a related field.
Bachelors degree in computer science, Engineering, or a related field
5+ years of experience in DevOps, Site Reliability Engineering (SRE), or a similar role
Strong hands-on experience with cloud platforms (AWS, GCP, or Azure)
Proficiency with Infrastructure as Code tools (Terraform, CloudFormation)
Experience with configuration management tools
Deep knowledge of CI/CD tools
Strong scripting skills (Bash, Python, or Go)
Proficiency with containers and orchestration (Docker, Kubernetes, Helm)
Solid understanding of networking, security best practices, and Linux system administration
Excellent problem-solving, communication, and collaboration skills
Experience with monitoring and observability tools (Prometheus, Grafana, ELK,)
Exposure to zero-downtime deployments, blue-green deployments, and canary releases
Proficiency with Atlassian tools ( Bitbucket, Jira, Confluence )
Familiarity with code quality analysis tools ( linters, static analysis, etc )
Strong Git skills
Familiarity with AI-assisted development tools ( Github Copilot, Curser, Claude, etc )
Team player, fast self-learning individual, and service-oriented attitude
Education:
Bachelors degree in Computer science, Engineering, or a related field.
This position is open to all candidates.
