Senior Site Reliability Engineer

Mojo builds systems for prediction markets and sportsbooks. The Senior Site Reliability Engineer builds and operates reliable, scalable infrastructure, automates operational workflows, improves observability, and troubleshoots production systems across AWS, Kubernetes, and applications.

Responsibilities:

• Design, build, and operate reliable, scalable infrastructure across AWS and Kubernetes/EKS
• Build and maintain infrastructure automation using Terraform, Helm, GitHub 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

Requirements:

• 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 GitHub 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 applications
• Experience with observability systems covering metrics, logs, and distributed tracing; experience with Datadog, Prometheus, or similar platforms
• Solid understanding of networking, IAM, Linux systems, and common AWS services such as S3, SQS, MSK/Kafka, and related infrastructure
• Ability to understand application behavior and work effectively across infrastructure, platform, and application teams
• Experience designing systems for reliability, scalability, fault tolerance, and operational simplicity
• Strong ownership mindset and the ability to operate independently in a fast-moving production environment
• Experience identifying operational pain points and improving them through automation and engineering rather than relying on manual processes
• Bachelor's or Master's degree in Computer Science or a related field—or equivalent practical experience
• Understanding of financial markets, including exchange connectivity, order lifecycle, and market data
• Experience with FIX (Financial Information eXchange) protocol
• Okta administration is a strong plus