Linux Systems Engineer

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, loganalysis, 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 operations.