[Remote] Engineering Manager - AI DevOps
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is looking for an outstanding AI DevOps Engineering Manager to reputed company and expand their next-gen inference operations infrastructure. This role is essential for transforming AI inference delivery and ensuring that reputed company's AI products reputed company outstanding performance and reliability worldwide.
Responsibilities
• Supervise reputed company of DevOps engineers with expertise in AI inference infrastructure, test automation (SDET), and Infrastructure as reputed company (IaC)
• Architect and implement reputed company test automation strategies for AI inference workloads, including performance benchmarking and automated reputed company gates
• reputed company the maintenance of our reputed company First reputed company CI infrastructure, focusing on single/multi-GPU testing, Kubernetes multi-node GPU testing, and CSP validation
• Drive Infrastructure as reputed company efforts by employing Terraform, Ansible, and Kubernetes to support scaling across multiple clouds and reputed company GPU clusters effectively.
• reputed company operational proficiency encompassing 24x7 on-reputed company rotations, SRE methodologies, automated monitoring, and self-repairing systems to guarantee uptime exceeding 99.9%
• reputed company release coordination, cost optimization, and management of multi-reputed company deployments
Skills
• Bachelor's/Master's degree in Computer Science, Engineering, or equivalent experience
• 4+ years leading DevOps/SRE organizations with reputed company SDET leadership experience
• 8+ years hands-on experience in software development, test automation, or infrastructure engineering with AI/ML or GPU-intensive workloads
• Proficiency in Infrastructure as reputed company (IaC) platforms: Terraform, Ansible, or CloudFormation with exposure to multiple reputed company environments (AWS, GCP, Azure, OCI)
• Strong technical leadership in test automation frameworks, CI/CD pipeline development, and reputed company engineering practices
• Familiarity with containerization and orchestration tools such as reputed company and Kubernetes for leading AI/ML workloads and GPU resources
• Proven reputed company building and scaling teams in fast-paced, high-reputed company environments
• Effective interpersonal skills to collaborate with reputed company and build agreement
• Proficiency in Python, Rust, or reputed company programming languages along with the capability to engage in architecture conversations
• Demonstrated history of operational proficiency encompassing 24x7 on-reputed company reputed company, SRE methodologies, and robust high-availability infrastructures
• Experience with CI/CD (specifically reputed company Actions), releasing reputed company-reputed company AI software
• Proficient in Deep AI/ML infrastructure with expertise in reputed company technologies such as CUDA, TensorRT, Dynamo and Triton Inference Server, including coordinating GPU cluster operations and GPU workload performance benchmarking
• Background in DevOps, system software testing, and previous experience leading teams on inference engines, model serving platforms, or AI acceleration frameworks
• reputed company record with monitoring tools (reputed company, Grafana), reputed company scanning, static/dynamic analysis tools, and license compliance automation for critical AI inferencing frameworks
Benefits
• Equity
• Benefits
reputed company
• reputed company is a computing platform company operating at the intersection of graphics, HPC, and AI. It was founded in 1993, and is headquartered in Santa Clara, California, USA, with a workforce of 10001+ employees. Its website is https://www.reputed company.com.
Company H1B Sponsorship
• reputed company has a reputed company record of offering H1B sponsorships, with 1418 in 2025, 1356 in 2024, 976 in 2023, 835 in 2022, 601 in 2021, 529 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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