Lead Site Reliability Engineer

Our client, a leading entertainment and technology provider, is seeking a Lead Site Reliability Engineer to join their team! This position is a 96-week contract and can be based in Orlando, Florida;
Burbank, California; or Seattle, Washington. Candidates must be able to work onsite as required. This role will support a large-scale Generative AI platform and cloud infrastructure environment responsible for enabling AI capabilities across enterprise applications and experiences.

This position is W-2 only. We do not work with third-party firms or C2C arrangements for this role.

• Lead the design, implementation, and maintenance of cloud infrastructure supporting Generative AI and data service workloads across GCP, AWS, and Azure
• Manage Kubernetes clusters, scaling strategies, node pools, resource allocation, autoscaling, and platform reliability initiatives
• Build and maintain Infrastructure as Code solutions using Terraform and automated deployment pipelines through Harness
• Drive platform reliability initiatives to support 99.99% uptime service level objectives across distributed, multi-region environments
• Implement observability, monitoring, alerting, and tracing solutions using Splunk, Open Telemetry, Prometheus, and App Dynamics
• Partner with architecture, capacity planning, and engineering teams to ensure scalability, performance, and operational excellence
• Mentor Site Reliability Engineers and Dev Ops specialists while providing technical leadership and infrastructure strategy guidance

• 7+ years of Site Reliability Engineering, Dev Ops, Platform Engineering, or related experience
• Extensive experience managing Kubernetes clusters in production environments, including scaling, security, and high-availability architectures
• Strong hands‑on experience with both AWS and GCP cloud platforms within large-scale enterprise environments
• Advanced experience with Terraform and Harness for infrastructure automation and deployment management
• Experience supporting highly available, multi-region, distributed systems with large-scale traffic and capacity planning requirements
• Strong scripting and automation experience using Python, Bash, and YAML
• Experience supporting AI platform infrastructure, AI model deployment at scale, vector databases, or Generative AI platform environments
• Experience with AI-powered development tools, AI agents, or AI-assisted engineering workflows
• Experience deploying custom AI or machine learning models in cloud environments

• Master's degree in Computer Science, Information Systems, or a related field
• Experience with vector databases such as Pinecone or Qdrant
• Experience with PostgreSQL, Redis, Kafka, MongoDB, and Vault in production environments
• Experience with enterprise observability tools including Splunk, Open Telemetry, Prometheus, and App Dynamics
• Experience working in hybrid cloud or multi-cloud environments spanning AWS, GCP, and Azure
• Technical leadership and mentorship within complex cloud infrastructure environments
• Strong troubleshooting and problem‑solving skills across distributed systems
• Ability to communicate highly technical concepts to both technical and non-technical stakeholders
• Strategic thinking around scalability, reliability, and capacity planning
• Strong collaboration and interpersonal skills within cross-functional teams
• Location:
  
  Orlando, FL;
  Burbank, CA; or Seattle, WA
• Onsite as required
• Multi-cloud enterprise environment supporting Generative AI platforms and large-scale distributed systems
• Pay Range:
  The approximate pay range for this position is between $70.00 and $80.00 per hour. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.
• Employee-Owned Profit Sharing (ESOP)
• 401K offered