Senior DevOps Engineer (Cloud Infrastructure, CI/CD, LLMOps)

Turing; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

Turing is seeking a Senior DevOps Engineer to architect and optimize cloud infrastructure and CI/CD systems for AI workloads. You will own end-to-end cloud design, drive decisions, mentor engineers, and ensure security, reliability, and performance across multiple services.

Responsibilities include leading design reviews, incident response, and implementing robust monitoring for AI workloads. You will collaborate with cross-functional teams to translate business needs into scalable technical

Qualifications

• 6+ years of ownership of cloud infrastructure and DevOps systems.
• 4+ years designing, implementing, and optimizing cloud infra and CI/CD pipelines.
• Advanced expertise in cloud platforms, containers, orchestration and IaC.
• Experience building highly available, secure, and cost-optimized infra.
• Proven ability to design CI/CD for distributed AI/ML workloads.
• Understanding of LLMOps, AI model deployment, monitoring and performance.
• Knowledge of AI observability, latency, costs, drift, and alerting.
• Experience with infra security, compliance controls and secure deployment.
• Understanding AI endpoint security risks like prompt injection and leakage.
• Experience leading design reviews, mentoring, and cross-functional collaboration.
• Strong incident management and root-cause analysis skills.
• Bachelor's degree in CS/SE or related field, or equivalent.

Responsibilities

• Architect, optimize, and own cloud infra and CI/CD for AI workloads.
• Lead infrastructure design reviews and mentor engineers.
• Drive security, reliability, and cost-efficiency across services.
• Oversee incident response and root-cause analysis for critical issues.
• Implement monitoring for AI workloads and observability signals.
• Participate in on-call rotations for after-hours/weekend support.

Skills

Cloud infrastructure

DevOps

CI/CD pipelines

IaC

Kubernetes

Containerization

Monitoring/observability

Security/compliance

Incident management

Mentoring

Education

Bachelor's degree in CS/SE or related

Tools

AWS/Azure/Google Cloud

Job description

Architect and optimize cloud infrastructure and CI/CD systems for AI workloads.

Our client is a global technology company specializing in cloud infrastructure, AI operations, and enterprise technology solutions. Supporting organizations worldwide, the company delivers secure, scalable, and reliable cloud environments, helping businesses optimize infrastructure and accelerate AI adoption.

We are looking for a Senior DevOps Engineer to architect, optimize, and own complex cloud infrastructure and CI/CD systems, including MLOps pipelines supporting AI/ML workloads. In this role, you will drive technical decisions, design highly available and cost-efficient architectures, and ensure the security, reliability, and performance of infrastructure across multiple services.

You will lead infrastructure design reviews, mentor engineers, and collaborate with cross-functional stakeholders to translate business requirements into technical solutions. You will also lead incident response and root-cause analysis for critical infrastructure issues, implement monitoring for AI workloads, and strengthen security controls for AI endpoints and agentic systems. Participation in an on-call rotation for after-hours and weekend support is expected.

Required Skills

• 6+ years of experience in technology, with significant ownership of cloud infrastructure and DevOps systems.
• 4+ years of hands-on experience designing, implementing, and optimizing cloud infrastructure and CI/CD pipelines.
• Advanced expertise in cloud platforms, containerization, orchestration, and Infrastructure as Code (IaC).
• Strong experience architecting highly available, scalable, secure, and cost-optimized infrastructure.
• Experience designing and maintaining CI/CD pipelines for distributed applications and AI/ML workloads.
• Understanding of LLMOps principles, including AI model deployment, monitoring, and operational performance.
• Knowledge of AI infrastructure observability, including latency, token costs, model drift, and alerting.
• Experience implementing infrastructure security, compliance controls, and secure deployment practices.
• Understanding of security risks associated with AI endpoints, including prompt injection and data leakage.
• Experience leading technical design reviews, mentoring engineers, and collaborating with cross-functional teams.
• Strong incident management, troubleshooting, and root-cause analysis skills.
• Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.

Bonus Skills

• Professional-level cloud certification (AWS, Azure, or Google Cloud).
• Experience operating LLMOps infrastructure at scale, including GPU provisioning and vector database hosting.
• Experience securing agentic AI systems and AI-powered applications.
• Experience establishing infrastructure standards and contributing to technical roadmaps.

Skills: DevOps