Senior Site Reliability Engineer

About The Role

Site Reliability Engineering (SRE) at Tubi is not a traditional operations team. We are a software engineering organization that applies a developer's mindset and toolkit to the challenges of building and running large-scale, distributed systems. Our mission is to engineer resilience from the ground up, enabling our product teams to innovate rapidly while ensuring our users have a stellar experience. We own the availability, latency, performance, and capacity of our platform, and we achieve our goals through a culture of data-driven decision-making, blameless learning, and relentless automation.

As a Senior Site Reliability Engineer, you are a hands-on engineer who blends deep software development expertise with a passion for operational excellence. You will be responsible for designing, building, and running the resilient, scalable, and increasingly self-healing systems that power our products. You will apply sound engineering principles to solve our most complex reliability challenges, with a mandate to automate everything, eliminate toil, and write robust, maintainable code. You will be a force multiplier, mentoring other engineers and elevating the site reliability bar for the entire organization.

What You'll Do

• System Architecture & Design: Design, build, and maintain scalable, highly available, and fault-tolerant distributed systems. Partner with development teams as a reliability consultant, reviewing designs and influencing architectural decisions to ensure new services are built with reliability, observability, and performance as core principles, not afterthoughts.
• Automation & Software Development: Write robust, performant, and maintainable code to automate operational tasks, and CI/CD pipelines. Build the internal tools, libraries, and frameworks that enable engineering teams to self-service their observability needs, reducing cognitive load and increasing their velocity.
• Incident Response & Post-Mortem Analysis: Participate in a 24/7 on-call rotation, acting as a key technical leader and incident commander during critical service disruptions. Conduct deep, blameless root cause analyses (RCAs) that go beyond immediate fixes to identify and address systemic issues. Drive the implementation of corrective actions to prevent the recurrence of incidents.
• Performance & Capacity Planning: Proactively monitor, measure, and optimize system performance to ensure low latency and high efficiency. Gather and analyze metrics from operating systems and applications to assist in performance tuning and fault finding. Analyze usage patterns and historical data to forecast capacity needs, ensuring our platform stays ahead of customer demand.
  
  

Your Background

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 5+ years of professional experience in a Site Reliability Engineering, DevOps, or Software Engineering role with a focus on infrastructure and operations.
• Strong programming proficiency in one or more high-level languages such as Rust, Go, Python, or Typescript. You should be comfortable writing, testing, and deploying production-grade code.
• Deep knowledge of AWS services (especially networking, IAM, EKS, ALBs/NLBs, Route 53, CloudWatch).
• Proven experience with Kubernetes in production (EKS preferred), including service exposure, networking, and availability engineering.
• A solid understanding of Linux/Unix operating systems, networking fundamentals (TCP/IP, DNS, HTTP), and the architecture of modern distributed systems.
  
  

Preferred Qualifications (Nice-to-Haves)

• Experience building and managing large-scale monitoring and observability systems using tools like Datadog, Prometheus, Grafana, etc.
• Expertise in designing and implementing CI/CD pipelines using tools such as Github action, ArgoCD, etc.
• Experience with distributed storage technologies (e.g., Amazon S3) and databases (e.g., PostgreSQL, ScyllaDb, Clickhouse, etc.).
• Contributions to open-source projects in the SRE, DevOps, or cloud-native ecosystem.
  
  

The AI Mandate: Building the Future of Observability with AI

Responsibilities

As a Senior SRE, you will be at the forefront of applying AI to solve our most critical reliability challenges. This is a hands-on software development role where the "product" you build is an intelligent, automated reliability platform. Your responsibilities will include:

• Building AI-Driven Automation: Building and integrating solutions that leverage our AIOps platform. This involves writing the code that consumes signals from the AI system, correlates disparate data sources, automates responses to AI-detected anomalies, and builds self-healing systems triggered by predictive alerts. You will transform AI insights into concrete reliability improvements.
• Leveraging AI for Code Development: Utilizing AI-assisted coding tools (e.g., Claude Code, Cursor) as a force multiplier in your daily workflow. You will leverage these assistants to write high-quality automation scripts, Terraform modules, Kubernetes manifests, and observability dashboards faster and more efficiently, while applying your expertise to validate and refine their output.
• Enriching our AI Knowledge Base: Developing and enriching our observability platform's internal knowledge base. You will be responsible for creating and documenting high-quality runbooks and procedural guides that can be ingested and used by AI assistants to provide context-aware troubleshooting guidance to the on-call engineer during an incident.
• Applying Data Science to Reliability: Treating reliability as a data science problem. You will analyze vast sets of telemetry data to identify trends, build predictive models for system capacity, and proactively identify performance bottlenecks and potential failure modes before they can impact our users.
  
  

Pursuant to local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is as listed annually below.

This role is also eligible for an annual discretionary bonus, long-term incentive plan, and various benefits including medical/dental/vision, insurance, vacation/paid time off and other benefits in accordance with applicable plan documents.

Toronto, Canada

$137,200 - $196,000 CAD

Benefits

Tubi Media Group is a division of Fox Corporation, and the FOX Employee Benefits summarized here, covers the majority of employee benefits. The following distinctions below outline the differences between the Tubi and FOX benefits:

For all salaried employees, in lieu of the FOX Vacation policy, Tubi offers a Flexible Time Off Policy to manage all personal matters.

For all full-time, regular employees, in lieu of FOX Paid Parental Leave, Tubi offers a generous Parental Leave Program, which allows parents twelve (12) weeks of paid bonding leave (top up in Canada) within the first year of birth, adoption, surrogacy, or foster placement of a child in addition to applicable government leave program(s) and FOX’s short-term disability policy (if applicable). This time is 100% paid through a combination of any applicable government leaves and wage-replacement programs in addition to contributions made by Tubi.

For all full-time, regular employees, Tubi offers a monthly wellness reimbursement.

About Tubi

Boldly built for every fandom, Tubi is a free streaming service that entertains over 100 million monthly active users. Tubi offers the world's largest collection of Hollywood movies and TV shows, thousands of creator-led stories and hundreds of Tubi Originals made for the most passionate fans. Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.