Site Reliability Engineer | Trading Operations at Jump Trading International Limited

Amsterdam, North Holland, Netherlands -

Full Time

Start Date

Immediate

Expiry Date

28 Jun, 26

Salary

0.0

Posted On

30 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Go, Linux, Streaming Systems Architecture, Apache Kafka, RabbitMQ, Rust, C/C++, Bigtable, Clickhouse, Cassandra, Time Series Databases, CI/CD, Kubernetes, Containers, Network Design

Industry

Financial Services

Description

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems. Trading Infrastructure is a global organization of Engineers who architect, build and maintain our world-class infrastructure. From colo design/implementation, to optimizing our exchange connectivity, to building world class low latent Wide Area Networks, we leverage research and automation to consistently adapt and innovate our infrastructure to scale and drive our trading and evolving business. We are looking for exceptional talent that can work closely and collaborate effectively across multiple teams spread around the globe and continue to take our infrastructure to the next level. What You'll Do: Work in a hybrid Systems Engineer / Software Developer capacity on Jump’s internal systems that manage the global infrastructure and colocation footprint Architect, build and maintain streaming monitoring tooling, high performance / real-time packet and flow analysis systems, configuration management and automation frameworks Take an ops-first approach, focusing on improving quality of the platforms for the wider team and always strive to identify improvements and opportunities for further make us more efficient Identify opportunities to make services more efficient and resilient by designing alerting and observability around team and business requirements Do deep-dive debugging sessions on low-level performance issues in complex software stacks Other duties as assigned or needed Skills You’ll Need: 5+ years experience with Python, Go Strong experience with Linux Knowledge of streaming systems architecture and design Message/streaming queues (Apache Kafka, RabbitMQ, etc.) Working knowledge of Rust, C/C++ Experience with big data / columnar style data stores (Bigtable, Clickhouse, Cassandra) and time series databases Experience working with version control and CI/CD systems. App deployment management and lifecycle (CI/CD, Kubernetes, pods/containers) Proven knowledge of working on infrastructure challenges in a reliability capacity Previous experience demonstrating strategic thinking skills and maturity in tackling complex problems, dealing with people, technology and processes Reliable and predictable availability Bonus skills: Experience with Rust Prior exposure to Arista or Cisco hardware Routing protocol knowledge Prior network design knowledge Benefits include: Private Medical, Vision and Dental Insurance Travel Medical Insurance Group Pension Scheme Group Life Assurance and Income Protection Schemes Paid Parental Leave Parking and Commuter Benefits

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

The role involves working in a hybrid Systems Engineer/Software Developer capacity to manage global infrastructure and colocation footprints, focusing on architecting and maintaining streaming monitoring tools, real-time packet analysis systems, and configuration automation frameworks. Responsibilities also include adopting an operations-first approach to improve platform quality, designing alerting/observability, and debugging low-level performance issues.