Senior Site Reliability Engineer (Compute Platform Services Team)

Accountabilities

• Collaborate with support, operations, and engineering teams to investigate, diagnose, and resolve complex infrastructure and system issues.

• Design, develop, and implement scalable automation solutions that improve operational efficiency, reduce manual intervention, and strengthen system reliability.

• Develop processes, deployment plans, and infrastructure capabilities to roll out new software components and updates safely and efficiently at scale.

• Participate in on-call rotations and lead or support the restoration and repair of services affected by incidents.

• Enhance monitoring, observability, and system analysis platforms to accelerate error detection, troubleshooting, and remediation.

• Optimize Linux systems, infrastructure configurations, and system performance across large-scale distributed environments.

• Drive continuous improvement in operational excellence, deployment practices, infrastructure management, and service reliability.

Requirements

• At least 7 years of relevant professional experience and a bachelor's degree in Computer Science or a related field.

• Extensive experience in systems engineering, DevOps, or software engineering, with hands-on responsibility for large-scale distributed systems.

• Advanced Linux systems administration and troubleshooting skills, including the ability to diagnose complex, system-wide issues.

• Demonstrated ability to design and implement large-scale automation solutions that improve reliability and operational efficiency.

• Proficiency in Python or Go (Golang) for scripting, tooling, and automation development.

• Practical experience with infrastructure automation and configuration management tools such as SaltStack, Ansible, and Terraform.

• Strong knowledge of observability and monitoring platforms, including tools such as Prometheus, Grafana, ELK/OpenSearch, Datadog, and Splunk.

• Experience working with at least one cloud platform, such as AWS, Google Cloud Platform (GCP), Microsoft Azure, or an equivalent alternative.

• Strong analytical, problem-solving, and collaboration skills, with the ability to work effectively across technical teams and contribute to incident response.

Benefits

• Remote-first flexibility: Work from home, from an office, or through a combination of both, depending on role requirements and individual working preferences.

• Health and well-being support: Access to benefits designed to support physical health, personal well-being, and life beyond work.

• Financial support: Employee benefits intended to support financial well-being.

• Flexible workplace experience: A work model that emphasizes trust, autonomy, and the flexibility to work in ways that support productivity.

• Career growth: Opportunities to work with distributed compute infrastructure, modern automation technologies, and large-scale reliability engineering challenges.

• Meaningful technical impact: Contribute to the reliability and performance of infrastructure supporting digital services used around the world.