Jobs / The Walt Disney Studios
Senior Site Reliability Engineer
The Walt Disney Studios · Vancouver, BC, Canada
Vancouver, BC, CanadaExp: 5+ yrs120,700-161,800 CAD/yearlyRemote
Remuneration
Medical, financial, and/or other variable pay or benefits may be offered.
Location
Vancouver, BC, Canada
Visa sponsorship
Not specified
Job summary
Designs, implements, and operates reliable, scalable on-premises and cloud infrastructure supporting animation production workflows. The role advances service availability, performance, and observability through infrastructure as code, automation, SRE practices, and internal tooling, while securely deploying AI tools and enterprise MLOps infrastructure. Technologies include Kubernetes, Terraform, AWS, Datadog, Prometheus, and Grafana.
Benefits
Medical benefitsFinancial benefitsOther variable pay or benefits
Qualifications
- At least five years of experience in SRE, DevOps, technical operations, systems engineering, software engineering, or a related discipline.
- Expertise in distributed systems, networking, hardware architecture, and capacity planning.
- Experience leading and collaborating on large-scale cross-team projects.
- Proficiency in UNIX/Linux administration, troubleshooting, performance tuning, and security.
- Experience with monitoring and observability tools, including Datadog, Prometheus, and Grafana.
- Experience with enterprise containerization and orchestration systems.
- Experience with configuration management and infrastructure as code.
- Experience implementing enterprise MLOps infrastructure, including model validation, deployment, fallback, routing, load balancing, quota management, inference metrics, and provider abstraction.
- Experience with continuous integration tools.
- Expertise deploying and maintaining scalable cloud solutions.
- Experience with secrets management and data protection.
- Proficiency in one or more of Python, Java, Scala, Go, Rust, or Ruby.
- A relevant bachelor's degree or equivalent work experience.
Responsibilities
- Design, implement, and support reliable on-premises and cloud-native deployments using infrastructure as code and security automation.
- Improve reliability, observability, service-level indicators and objectives, and performance.
- Securely deploy, operate, and support production AI tools and ML infrastructure.
- Translate studio workflows and business requirements into end-to-end platform and infrastructure solutions.
- Contribute to the design and operation of CI/CD, Git source management, cloud hosting, containerization, and web technologies.
- Develop telemetry, alerting, and operational runbooks to improve service visibility and reduce mean time to repair.
- Evaluate emerging technologies and create documented standards and reusable patterns.
- Build internal tools to diagnose and resolve platform, service, and application issues.
Skills
AnsibleArtifactoryAWSAzureCloudFormationC++DatadogDockerECSEKSGCPGitGitLabGitLab CIGoGrafanaHelmJavaJenkinsKubernetesLinuxNGINXPodmanPrometheusPuppetPythonRancherRubyRustScalaSpinnakerTerraformVault
Degrees
Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineer
Languages
PythonJavaScalaGoRustRuby
Industry
AnimationFilm production
Relocation
No