Senior Site Reliability Engineer (SRE)
A hands-on SRE who designs, builds, and runs the resilient, scalable distributed systems behind Tubi's free streaming platform — automating operations, leading 24/7 incident response, and applying AI/AIOps tooling. Core stack: AWS (EKS), Kubernetes, and Rust, Go, Python, or TypeScript. Hybrid: 2 days/week in Toronto.
- Compensation
- CA$116K–CA$235.1K / yr
- Location
- Toronto, Canada (Hybrid)
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Full time
- Experience
- 5+ years
- Category
- Sre
- Posted
Skills
Must have
- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience
- 5+ years of professional experience in SRE, DevOps, or Software Engineering with a focus on infrastructure and operations
- Strong programming proficiency in one or more of Rust, Go, Python, or TypeScript, with production-grade code experience
- Deep knowledge of AWS services (networking, IAM, EKS, ALBs/NLBs, Route 53, CloudWatch)
- Proven experience with Kubernetes in production (EKS preferred), including service exposure, networking, and availability engineering
- Solid understanding of Linux/Unix operating systems, networking fundamentals (TCP/IP, DNS, HTTP), and modern distributed systems architecture
- Willingness to work hybrid, traveling to the Toronto office two days per week
Full description
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.
This is a hybrid role based out of our Toronto office. You must be willing to travel to our Torontooffice two days/week.
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.