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Lead Site Reliability Engineer
Application Development & Engineering
Orlando, Florida, 32819
Contract
Ref.: 142202
Job Summary
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.
Core Responsibilities
At KellyMitchell, our culture is world class. We’re movers and shakers! We don’t mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.
Marketing Disclosure
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at https://www.careers.kellymitchell.com/privacy-policy
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.
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
- 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 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, OpenTelemetry, Prometheus, and AppDynamics
- 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.
- Medical, Dental, & Vision Insurance Plans
- Employee-Owned Profit Sharing (ESOP)
- 401K offered
At KellyMitchell, our culture is world class. We’re movers and shakers! We don’t mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.
Marketing Disclosure
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at https://www.careers.kellymitchell.com/privacy-policy