Lead DevOps Engineer

As a DevOps Engineer on the Agentic AI Platform team, you will be instrumental in designing, implementing, and maintaining the infrastructure and deployment pipelines that power our sophisticated AI agents. You will tackle challenging technical problems related to scalability, reliability, security, and cost-effectiveness.

Requirements

• Bachelor's degree (or equivalent practical experience) in Computer Science, Engineering, or a related field.
• 5+ years (Senior) of professional DevOps or SRE (Site Reliability Engineer) experience.
• Strong proficiency in one or more scripting or programming languages (e.g., Python, Go, Bash).
• Extensive experience building, deploying, and operating services in a cloud environment (AWS, GCP, or Azure).
• Hands-on experience with containerization (Docker) and orchestration (Kubernetes).
• Experience with CI/CD tools (e.g., GitLab CI/CD, Jenkins, GitHub Actions).
• Solid understanding of Infrastructure-as-Code (IaC) principles and experience with tools like Terraform.
• Solid understanding of computer science fundamentals (data structures, algorithms, operating systems, networking).
• Experience with monitoring, logging, and alerting tools (e.g., Prometheus, Grafana, DataDog, NewRelic).
• Interest in or practical experience with AI/ML concepts and MLOps practices.
• Experience with software development best practices (testing frameworks, code reviews).
• Strong problem-solving skills and attention to detail. Good communication and collaboration skills.

Benefits

• Professional development opportunities
• Diverse and inclusive work environment
• Flexible work arrangements
• Comprehensive benefits package