Cloud Systems Engineer | Production Engineering
Jump Trading is hiring a Cloud Systems Engineer | Production Engineering in Hong Kong, Singapore. Level rates it ; you can apply on Jump Trading.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include Linux, Tcp Ip and Dns.
- Level classifies it as a senior role.
- Level lists 91 other open roles at Jump Trading.
- The role was posted within the past week.
AI in this role
Design, build, and maintain independent cloud infrastructure and high-performance computing systems for financial markets research.
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.
We are building a small, high-impact team to design and run infrastructure that operates outside Jump's primary environment. This is a broad remit: cloud, production systems, and HPC-style workloads all fall within scope, with sound security practices built in throughout. We are looking for a true generalist who can design systems from the ground up, operate them with little direction, and dig deep when things break.
What You'll Do:
- Design, build, and maintain cloud infrastructure that operates independently of Jump's on-premises environment
- Architect resilient, reliable systems, with security considered as part of good design from the start
- Build independent infrastructure and controls that strengthen Jump's overall resilience
- Support production and HPC-style compute workloads in the cloud, including provisioning, scaling, performance, and cost
- Own a wide range of systems end to end, from networking and identity to compute, storage, and monitoring
- Lead root cause analysis on incidents until the true cause is found and fixed
- Improve monitoring, logging, and alerting so problems are detected and resolved quickly
- Apply infrastructure security best practices, including access management, secrets management, server hardening, and audit logging
- Pivot quickly to whatever needs fixing across the infrastructure, balancing competing priorities with minimal oversight
- Work with a globally distributed team to maintain high availability
- Other duties as assigned or needed
Skills You'll Need:
- Broad, hands-on experience as an infrastructure generalist, such as Linux administration, DevOps, systems engineering, or SRE
- Deep understanding of Linux internals and networking fundamentals, including TCP/IP, DNS, TLS, HTTP, routing, and load balancing
- Strong experience with at least one major cloud provider (AWS, GCP, or Azure), including networking, IAM, and compute services
- Working knowledge of infrastructure security fundamentals, such as IAM, secrets management, system hardening, and logging/audit
- A proven track record of troubleshooting complex systems and driving root cause analysis across multiple layers of the stack
- Experience designing and architecting systems, not just operating them
- Experience with infrastructure-as-code and configuration management tools such as Terraform, Ansible, or Salt
- Experience with monitoring and alerting tools such as Prometheus, Alertmanager, or Grafana
- Proficiency in Bash and Python scripting. Deep software engineering experience is not required
- Comfort working in a flat, fast-paced team
- Reliable and predictable availability
Bonus Points:
- Exposure to HPC environments or large-scale compute clusters
- Experience with Kubernetes and containerized workloads
- Experience with bare-metal and hybrid infrastructure
- Additional depth in security, such as incident response or secure architecture design
- Experience in trading, financial services, or other high-availability environments
How we rate this
Cloud Systems Engineer | Production Engineering at Jump Trading rates 0 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.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
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- Tell me about a project where systems engineering was part of your work. What did you do?
- Tell me about a project where devops was part of your work. What did you do?
- Tell me about a project where sre was part of your work. What did you do?
- Tell me about a project where cloud infrastructure was part of your work. What did you do?
- Tell me about a project where networking was part of your work. What did you do?
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- List these exact terms on your resume: Systems Engineering, DevOps, Sre, Cloud Infrastructure, and Networking. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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