Cloud Service Security DevOps – Maintenance

This is a fully remote position, open to applicants in California, +1 more state.

📋 Description

• Design, develop, and sustain comprehensive CI/CD pipelines for software applications and machine learning models.

• Automate processes related to building, testing, deployment, and rollback.

• Create, enhance, and scale cloud-native infrastructure utilizing Kubernetes and Docker.

• Oversee and provision GPU clusters and specialized computing resources tailored for AI workloads and model inferencing.

• Take ownership of high-availability architecture within production environments.

• Implement disaster recovery solutions, self-healing mechanisms, capacity planning, and performance optimization.

• Develop infrastructure provisioning that is automated, reproducible, and auditable across various cloud environments.

• Architect and improve systems for monitoring, logging, and alerting.

• Construct the Internal Developer Platform and establish optimal deployment paths for product, model, and data-science teams.

• Collaborate effectively with R&D, Data Science, Security, and Business teams.

• Set and uphold standards for system stability and security.

• Manage release workflows, implement Zero Trust access controls, handle secrets management, and ensure compliance.

• Lead troubleshooting efforts and root-cause analysis during complex anomalies and significant incidents.

• Implement preventive remediation strategies and automate responses to recurring incidents.

⛳️ Requirements

• A Bachelor's degree or higher in Computer Science, Engineering, or a related technical discipline.

• Over 5 years of practical experience in DevOps, SRE, or Cloud Infrastructure positions.

• Expert knowledge of Linux operating systems and essential networking principles, including TCP/IP, DNS, HTTP, load balancing, and VPCs.

• Extensive expertise in Docker and Kubernetes orchestration, cluster management, and production best practices.

• Proficient in designing and overseeing infrastructure on major public or hybrid cloud platforms such as AWS, GCP, Azure, or Alibaba Cloud.

• Experience with multi-cloud and hybrid-cloud strategies.

• Strong coding and scripting skills in Go, Python, Shell, or another prominent programming language.

• Understanding of CI/CD, Infrastructure as Code, observability, and SRE principles.

• Outstanding problem-solving skills and technical judgment.

• Excellent communication skills across teams.

• Preferred: familiarity with MLOps and model serving/inferencing frameworks like vLLM, TGI, or Triton Inference Server.

• Preferred: experience managing GPU clusters for AI/ML workloads.

• Preferred: experience with large-scale distributed systems or high-concurrency environments.

• Preferred: experience in designing and building Internal Developer Platforms.

• Preferred: familiarity with Zero Trust architecture, DevSecOps, SOC2, and ISO27001.

• Preferred: experience as a Technical Lead, mentoring junior engineers, or managing DevOps teams.

🏝️ Benefits

• Competitive salary and performance-based incentives.

• Opportunities for professional growth and development.

• Flexible work environment with remote work options.

• Comprehensive health, dental, and vision insurance.

• Generous vacation and paid time off policies.