Senior Site Reliability Engineer

We build systems that price outcomes, make markets, and manage risk across prediction markets and sports books. Mojo is a team of highly talented people with deep backgrounds in trading, engineering, data science, and sports, including people from top market makers, big tech, sports books, and professional teams. We’re profitable and well capitalized with multiple streams of revenue. The systems we run are real-time, high-volume, and directly tied to company P&L.

We are looking for a hands‑on Senior Site Reliability Engineer (SRE) with strong infrastructure expertise and solid programming skills. This role sits at the intersection of software engineering and infrastructure, with a focus on building and maintaining a reliable, scalable, and high‑performing platform. The day‑to‑day would be a mix of coding, supporting and improving our platform, Kubernetes/AWS infrastructure, automation, reliability, observability, incident troubleshooting, and building tooling/services where needed.

This is not a role focused solely on managing Terraform or cloud resources. We are looking for an engineer who can write code, understand infrastructure deeply, and use automation to solve operational problems effectively. The ideal candidate brings a strong combination of SRE and infrastructure expertise, with the ability to approach operational challenges through engineering. We value engineers who are driven by clarity, care deeply about correctness and performance, and are motivated by solving problems that matter to the business.

• Design, build, and operate reliable, scalable infrastructure across AWS and Kubernetes/EKS.
• Build and maintain infrastructure automation using Terraform, Helm, Git Hub Actions, and other platform tooling.
• Write production‑quality code, primarily in Go and/or Python, to automate operational workflows, build internal tools, and solve reliability challenges.
• Troubleshoot complex production issues across applications, Kubernetes, AWS services, networking, and Linux systems.
• Build and improve observability across metrics, logs, and traces using tools such as Datadog and Prometheus.
• Improve deployment, provisioning, and operational workflows to make infrastructure and application delivery safer, faster, and more repeatable.
• Design systems and operational processes with reliability, fault tolerance, scalability, security, and operational simplicity in mind.
• Partner closely with application engineers to understand service behavior and resolve infrastructure, performance, and reliability issues.
• Identify recurring operational problems and turn them into automated, scalable solutions rather than manual processes.
• Contribute to technical architecture and design decisions across infrastructure, platform, and application boundaries.
• Help establish and evolve engineering standards around infrastructure, reliability, observability, automation, and production operations.
• Take ownership of production systems and incidents from investigation through resolution and long‑term remediation.
• Participate in our on‑call rotation (~1 week every 13 weeks), with 24‑hour coverage expectations during that period.

• Strong hands‑on experience with AWS and production cloud infrastructure.
• Strong Kubernetes experience, particularly Amazon EKS, including deploying and managing workloads with Helm.
• Strong experience with Terraform and Infrastructure as Code.
• Experience building and maintaining CI/CD and deployment pipelines using Git Hub Actions or similar tooling.
• Programming experience in Go and/or Python, with a track record of building automation, internal tooling, or production services.
• Strong production troubleshooting and debugging skills across infrastructure and…