Project description

We are looking for a Linux Systems Engineer for Large US hedge fund to keep critical Linux-based research and platform infrastructure
reliable, secure, and efficient. This role supports production systems across Linux servers, Kubernetes
platforms, scheduler-backed compute environments, and user access services. The engineer will troubleshoot
incidents, automate operational work, improve observability, and partner with cross-functional teams to deliver
stable infrastructure changes.

Responsibilities

Operate and support Linux servers and shared infrastructure used by research and platform teams.

Troubleshoot production issues involving system performance, availability, access, configuration, and

networking.

Support Kubernetes and other container-based platforms, including node health, service behavior, and

rollout activities.

Support scheduler-backed compute environments such as Slurm, including node readiness, maintenance,

and incident recovery.

Improve user-facing Linux access services such as SSH, shared shell environments, and session-based

platforms.

Manage OS lifecycle work: provisioning, patching, kernel and package updates, and hardening.

Build scripts and automation in Python, Bash, or similar tools to reduce manual work and improve

reliability.

Use configuration management and version-controlled workflows to implement infrastructure changes

safely.

Enhance monitoring, alerting, documentation, and operational processes.

Participate in incident response and occasional on-call support.

Skills

Must have

3+ years of experience in Linux systems engineering, SRE, DevOps, or infrastructure support.

Strong Linux administration skills, including systemd, package management, permissions, filesystems, log

analysis, and performance troubleshooting.

Good understanding of networking fundamentals such as DNS, NTP/PTP, routing, and general host

connectivity.

Experience with automation, scripting, and operational tooling.

Familiarity with Kubernetes, virtualization, or clustered platforms.

Experience with configuration management or infrastructure-as-code tools such as Ansible, Salt, or

Terraform.

Ability to troubleshoot production issues methodically and communicate clearly during incidents.

Experience with Git-based workflows and maintainable documentation.

Hands-on, practical problem solver with a strong ownership mindset.

Comfortable working close to production and balancing support with continuous improvement.

Collaborative communicator who works well across compute, storage, networking, and application teams.

Nice to have

Experience with Slurm, HPC-style environments, GPU infrastructure, or researcher-facing Linux platforms.

Working familiarity with shared storage clients such as NFS, autofs, or GPFS / IBM Storage Scale from a

host and application perspective.

Experience with observability tools such as Prometheus, Grafana, or equivalent platforms.

Exposure to identity and access services such as LDAP, Kerberos, SSSD, or PAM.

Exposure to on-premises datacenter operations, hardware lifecycle support, or vendor escalations.

Interest in using AI/ML techniques for infrastructure optimization, anomaly detection, or predictive

perations.

Other

Languages

English: B2 Upper Intermediate

Seniority

Senior

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Req. VR-124358

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