Job Description
We are seeking a dynamic Senior DevOps engineer with proficiency in cloud infrastructure technologies and a passion for building scalable systems.
• Design, deploy, and maintain robust configuration management systems to support scalable infrastructure.
• Manage multiple environments for development, testing, and production to ensure smooth deployment cycles.
• Enhance, build, and deploy services on Adobe's platforms with a focus on machine learning (ML) service integration.
• Develop and optimize monitoring solutions to ensure the health of services and infrastructure.
• Lead the lifecycle of operational readiness—from architecture to deployment and post-launch support.
• Collaborate with ML platform engineering teams to streamline and create efficient CI/CD pipelines.
• Automate infrastructure provisioning and application deployment using tools such as Gitlab, Jenkins, Terraform, Helm etc.
Requirements
• Bachelor's degree in Computer Science or equivalent professional experience.
• 5+ years of hands-on experience with at least one programming language such as Python or Node.js. Python is preferred.
• 3+ years working with monitoring and observability tools such as Splunk, New Relic, Prometheus, or Grafana.
• Strong knowledge of systems engineering principles including scalability, performance tuning, reliability, and high availability.
• Demonstrated ability to troubleshoot and debug complex cloud-based systems.
• Solid understanding of CI/CD concepts and implementation best practices.
• Experience with AI/ML model deployment workflows and infrastructure.
