About the position
G-Research is a leading quantitative research and technology firm, with offices in London and Dallas. We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded. This is a hybrid role based in our new Dallas infrastructure. The Calc Farm Platform Services team develops and manages a large high-performance compute (HPC) platform to enable the business to conduct complex research at scale. We are seeking a highly motivated person to join our team to help us continue to push the envelope running batch workloads on Kubernetes. The ideal candidate will have an active interest in Kubernetes and batch computing, a broad range of experience with software engineering and development, as well as experience managing large-scale infrastructure and complex tooling environments. The main focus will be on Armada - an exciting open source CNCF project built and maintained by the team - which we use to solve multi-cluster Kubernetes batch job scheduling at scale. You'll join an experienced team, working at the cutting-edge of ML workloads and at scale.
Responsibilities
- 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
Requirements
- 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 running systems at scale using a cloud provider, ideally AWS
- Use of operational and runtime tools and practices, including monitoring and logging with systems such as Prometheus and Grafana
Benefits
- Market-leading compensation plus annual discretionary bonus
- Lunch provided in the office (via GrubHub)
- Informal dress code and excellent work/life balance
- Excellent paid time off allowance of 25 days
- Sick days, military leave, and family and medical leave
- Generous 401(k) plan
- 16-weeks' fully paid parental leave
- Medical and Prescription, Dental, and Vision insurance
- Life and Accidental Death & Dismemberment (AD&D) insurance
- Employee Assistance and Wellness programs
- Generous relocation allowance and support
- Great selection of office snacks, and hot and cold drinks
- Free on-site gym and car parking
