Level

Jump Trading

Site Reliability Engineer

AI in this role

Site Reliability Engineer

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 incentivizing 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 colocation 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

  • Discretionary bonus eligibility
  • Medical, dental, and vision insurance
  • HSA, FSA, and Dependent Care options
  • Employer Paid Group Term Life and AD&D Insurance
  • Voluntary Life & AD&D insurance
  • Paid vacation plus paid holidays
  • Retirement plan with employer match
  • Paid parental leave
  • Wellness Programs

Annual Base Salary Range $200,000—$225,000 USD

How we rate this

Site Reliability Engineer at Jump Trading rates 36 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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