Lead Site Reliability Engineer

Core Responsibilities

• 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, OpenTelemetry, Prometheus, and AppDynamics
• Partner with architecture, capacity planning, and engineering teams to ensure scalability, performance, and operational excellence
• Mentor Site Reliability Engineers and DevOps specialists while providing technical leadership and infrastructure strategy guidance

Required Skills/Experience

• 7+ years of Site Reliability Engineering, DevOps, 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 deploying custom AI or machine learning models in cloud environments

Preferred Skills/Experience

• 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, OpenTelemetry, Prometheus, and AppDynamics
• Experience working in hybrid cloud or multi-cloud environments spanning AWS, GCP, and Azure

About the Role

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.

Pay and Benefits

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.

Benefits include Medical, Dental, & Vision Insurance Plans, Employee-Owned Profit Sharing (ESOP), and 401K offered.