Batch Compute Engineer

At Radiant Digital, we provide IT solutions and consulting services to help government agencies and businesses in the USA, Canada, the Middle East, and Southeast Asia. On the federal side, we support agencies like NASA, the Department of State (DOS), the IRS, ACL, ACF,USDA and many others, along with numerous state and local government agencies.

We work with industries like telecom, healthcare, entertainment, oil and gas offering solutions designed to meet their specific needs. We focus on improving systems, making better use of data, and updating applications to keep up with changing markets.

Position: Batch Compute Engineer

Duration: 12 Months plus

Location: Hybrid - Dallas, TX

Key responsibilities of the role include:

• Designing and developing high-quality software solutions using procedural programming languages, with a focus on Golang
• Building and maintaining highly scalable, highly available and globally distributed systems to support large-scale research workloads
• Managing and optimising data interactions across relational and non-relational databases, particularly PostgreSQL
• Developing and operating containerised applications within Kubernetes, ensuring effective orchestration and workload scheduling
• Supporting, tuning and troubleshooting Linux-based systems as part of our core compute platform
• Applying core networking knowledge to help debug, optimise and enhance platform connectivity and performance
• Independently diagnosing and resolving complex technical issues across infrastructure and software layers
• Applying solid software architecture principles, computer science fundamentals and data structure knowledge to guide design decisions and code quality
• Driving continuous improvement by contributing to CI/CD pipelines and engineering best practices
• Staying up to date with emerging technologies and approaches, and applying new knowledge across disciplines

The ideal candidate will have the following skills and experience:

• Experience with developing Kubernetes components, such as controllers and operators
• Experience with event-driven programming and message queues, such as apache Kafka and Pulsar
• Experience of high-performance computing, Kubernetes, or DAG (Directed Acyclic Graph) workflows
• Experience of operating or using job scheduling systems, e.g. SLURM
• Use of operational and runtime tools and practices, including monitoring and logging with systems such as Prometheus and Grafana