Senior DevOps Engineer

Los Angeles

Engineering – Software Engineer / Full-Time / On-Site

Our client is a well-funded AI startup backed by Eric Schmidt, building a next-generation intelligence platform for high-stakes, real-world decision-making.

The platform ingests and fuses data from satellite feeds, autonomous sensors, logistics networks, open-source streams, and other operational data sources to create live knowledge graphs, probabilistic assessments, and mission-critical AI workflows.

This is not a traditional enterprise SaaS or chatbot product. The company is building serious AI infrastructure for complex, high-assurance environments where reliability, security, speed, and operational discipline matter.

They are seeking a highly motivated, hands-on Senior/Lead/Principal DevOps Engineer to help shape and scale cloud infrastructure, DevOps practices, CI/CD, Kubernetes, and platform systems. This person will play a key role in building secure, reliable, and scalable infrastructure for AI/ML workloads while improving developer experience and operational excellence across the engineering team.

The ideal candidate brings strong systems design instincts, deep troubleshooting ability, and a bias toward automation, reliability, and ownership. Experience with AI-powered development tools such as Claude Code, Codex, Cursor, or Copilot is highly valuable. Experience supporting AI/ML workloads or GPU-accelerated infrastructure is strongly preferred.

Responsibilities:

Design, build, and optimize CI/CD pipelines to ensure seamless code integration, testing, and deployment processes.
Architect scalable, resilient, and cost-efficient cloud infrastructure, making well-reasoned trade-offs between complexity, performance, and maintainability.
Drive the adoption of modern infrastructure solutions, including containerization, orchestration, and serverless computing.
Implement and maintain infrastructure as code (IaC) with best-in-class configuration management and version control practices.
Integrate AI-powered coding assistants (Claude Code, Codex) into daily DevOps workflows including IaC authoring, pipeline development, scripting, and debugging.
Support and optimize infrastructure for complex AI/ML workloads, including GPU provisioning, scheduling, and resource management in cloud environments.
Serve as a senior escalation point for complex production incidents, driving rapid diagnosis and resolution across application, infrastructure, and network layers.
Conduct thorough root-cause analyses on outages and performance degradations, producing actionable post-mortems that prevent recurrence.
Ensure system uptime and performance through proactive monitoring, alerting, incident management, and capacity planning.
Collaborate with development, operations, security, and QA teams to deliver reliable and scalable systems.
Lead systems design discussions and produce technical design documents for major infrastructure initiatives.
Maintain compliance with security, governance, and industry standards throughout the DevOps lifecycle.
Drive continuous improvement initiatives, including performance tuning, toil reduction, and process automation.
Evaluate and implement cutting-edge tools and technologies to enhance DevOps capabilities.

Requirements:

5+ years of hands-on experience in DevOps, SRE, or Cloud Infrastructure engineering in large-scale and complex environments.
Bachelor’s degree in Computer Science, Information Technology, or a related field is required; an advanced degree is preferred.
Demonstrated, hands-on experience with AI-powered development tools such as Claude Code, OpenAI Codex or similar AI coding assistants.
Deep knowledge of cloud platforms, primarily GCP, with working familiarity of AWS and related networking services.
Excellent systems design skills with a proven ability to architect highly available, fault-tolerant, and scalable infrastructure.
Exceptional troubleshooting abilities—able to methodically diagnose and resolve complex issues spanning application code, container orchestration, networking, and cloud service configurations.
Experience supporting complex AI/ML workloads, including GPU-accelerated compute, job scheduling, and resource optimization in production environments.
Strong expertise in CI/CD tools and platforms, such as GitHub Actions, Jenkins, GitLab, or Cloud Build.
Hands-on experience with containerization and orchestration tools, including Docker and Kubernetes.
Proficiency in infrastructure as code (IaC) tools, such as Terraform, CloudFormation, or Ansible.
Strong scripting and automation skills in Python, Bash, Go, or similar languages.
Familiarity with monitoring and observability tools like Prometheus, Grafana, ELK Stack, or Datadog.
Strong understanding of microservices architecture, serverless computing, and distributed systems.
Experience with security best practices, including DevSecOps and compliance requirements.
Excellent communication skills and the ability to influence cross-functional teams.

Additional Details:

Only open to U.S. Citizens or Green Card holders.
The role is in-office (LA) - West Hollywood
Compensation includes a strong base + bonus + Equity

Compensation

200,000 – 300,000 USD · per year

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