Senior Software Engineer - Site Reliability

Requirements

• We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most.
• Our Data Platform is built on open standards — Apache Iceberg for the table format, Apache Polaris for catalog and governance, and Trino for distributed, interactive query.
• You understand the importance of CI and software development lifecycles and the role it plays in delivering software to customers.
• experience in designing, analyzing, and troubleshooting large-scale distributed systems build on technologies like Spark, YARN, Hadoop, Kubernetes, Polaris, Iceberg, Trino You love to work in Unix/Linux from kernel to shell, file systems, client-server protocols, etc. You have a strong coding background and can utilize various languages.
• We focus and build tooling and automation using Python, GoLang and Java.
• You prefer building infrastructure and tooling in the cloud and using managed services where possible, we focus on AWS and GCP You package and deliver immutable services and functions, utilizing Docker, Kubernetes and Serverless frameworks (AWS Lambda, API Gateway) You believe that everything should be repeatable and use orchestration and deployment tools and Infrastructure as Code such as terraform, Ansible You rely on CI/CD to automatically deliver build pipelines such as Jenkins, TeamCity, Bamboo,
• experience in software development engineering, architecting, building, and scaling robust and efficient software systems. 5+ years coding
• experience and can utilize various languages (We focus and build tooling and automation using Python, GoLang and Java.) Bachelor’s degree in Computer Science, Engineering, or related discipline, or equivalent practical experience.
• MS in Computer Science or related field and 3 years relevant
• experience or BS in Computer Science or related field and 5 years relevant experience Other
• Experience in designing, analyzing, and troubleshooting large-scale distributed systems built on technologies like Spark, YARN, Hadoop, Kubernetes, Apache Polaris, Apache Iceberg, Trino
• Experience building infrastructure and tooling in the cloud and using managed services where possible, we focus on AWS Working knowledge of building immutable services and functions utilizing Docker, Kubernetes and Serverless frameworks (AWS Lambda, API Gateway) Working knowledge of building Highly Available, Scalable, Reliable multi-tenanted big data applications on Cloud (AWS, GCP) and/or Data Center architectures.