Lead Site Reliability Engineer

Lead Site Reliability Engineer – Generative AI Platform

Optomi, in partnership with a leading entertainment organization, is seeking a Lead Site Reliability Engineer to help architect, scale, and operate an enterprise Generative AI platform. This individual will provide hands-on technical leadership across Kubernetes, cloud infrastructure, automation, observability, and platform reliability while helping establish the long-term architecture needed to support continued AI growth.

The ideal candidate is a senior SRE, DevOps, or Platform Engineering professional with deep production Kubernetes expertise, expert-level Terraform experience, strong multi-cloud knowledge, and a proven ability to lead technical initiatives while remaining hands-on.

What the Right Candidate Will Enjoy

• Helping lead an enterprise Generative AI platform.
• Building infrastructure that supports cutting-edge conversational AI applications.
• Influencing long-term cloud architecture and platform reliability strategy.
• Working across GCP, AWS, and Azure environments.
• Solving complex distributed systems and scalability challenges.
• Working with modern technologies including Kubernetes, Terraform, Harness, GitOps, and enterprise observability platforms.
• Mentoring engineers while remaining actively involved in architecture, automation, and production engineering.

Responsibilities

• Lead the architecture, deployment, and operation of highly available infrastructure supporting enterprise Generative AI applications and backend services.
• Administer and scale production Kubernetes environments, including cluster operations, capacity management, troubleshooting, and reliability improvements.
• Build, maintain, and standardize Helm charts for application and platform deployments.
• Develop and manage reusable Infrastructure-as-Code solutions using Terraform.
• Design, build, and optimize enterprise CI/CD pipelines, with a strong focus on Harness.
• Implement advanced deployment strategies, including blue/green deployments, canary releases, feature flags, and GitOps practices.
• Improve platform monitoring, logging, distributed tracing, alerting, and overall observability.
• Support production technologies including PostgreSQL, Redis, Kafka, MongoDB, and Vault.
• Develop automation and operational tooling using Python, Bash, and YAML.
• Troubleshoot complex production issues across cloud infrastructure, Kubernetes, networking, applications, and distributed systems.
• Drive capacity planning, infrastructure optimization, scalability, security, and platform availability.
• Help maintain a 99.99% uptime SLA across mission-critical AI platform services.
• Mentor SRE, DevOps, and Platform Engineering team members while establishing engineering standards and reliability best practices.
• Partner with AI Engineering, Platform Engineering, Architecture, Product, Security, and Capacity Planning teams in an Agile environment.

Required Qualifications

• 7+ years of experience in Site Reliability Engineering, DevOps, Platform Engineering, or a closely related discipline.
• Deep hands-on experience administering Kubernetes in large-scale production environments.
• Strong experience building and maintaining Helm charts.
• Expert-level Terraform and Infrastructure-as-Code experience.
• Hands-on experience with Harness for enterprise CI/CD automation.
• Multi-cloud infrastructure experience across GCP, AWS, and Azure, with a strong preference for GCP-heavy production experience.
• Strong Python and Bash scripting experience.
• Advanced YAML configuration experience.
• Production experience supporting PostgreSQL, Redis, Kafka, MongoDB, and Vault.
• Experience with CI/CD platforms such as Harness, GitHub Actions, GitLab CI, Jenkins, or Azure DevOps.
• Experience with observability technologies such as Splunk, OpenTelemetry, Prometheus, and AppDynamics.
• Strong troubleshooting experience involving distributed systems and high-availability production environments.
• Experience leading technical initiatives and mentoring SRE, DevOps, or Platform Engineering professionals.
• Experience working within Agile or Scrum delivery environments.
• Strong communication skills with the ability to explain complex technical topics to both technical and non-technical stakeholders.