Senior Cluster Site Reliability Engineer

Voleon; Berkeley (CA); Hybrid; USD 205,000 - 235,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

401(k) match

PTO 20 days

Job summary

Voleon is seeking a Senior Cluster Site Reliability Engineer to scale research compute clusters, ensuring uptime and performance across on‑prem and cloud environments. You will apply IaC, automation, and SRE principles to sustain a 24/7 HPC platform used by researchers in ML and AI workloads.

Join a team that triages real‑time issues and drives systemic improvements, collaborating with software and research engineers to meet strict SLAs and cost‑effective operations.

Qualifications

• 5+ years in SRE or DevOps, senior engineer or tech lead.
• Experience with HPC/batch compute and ML training systems.
• Proficiency in Python or similar scripting; IaC tooling.

Responsibilities

• Be first responder in cluster outages; triage and resolve urgent issues.
• Maintain high cluster uptime; define and track SLAs.
• Diagnose systemic patterns; engineer precise solutions with eng teams.
• Develop robust metrics/observability for cluster health; build custom telemetry.
• Help design policies for fair cluster usage and enforcement.

Skills

SRE/DevOps leadership

Python scripting

Terraform

AWS

GCP

Kubernetes

Prometheus/Grafana

Observability

HPC frameworks

Distributed storage

Education

Bachelor's degree in computer science

Tools

Slurm

Kueue

Kubeflow

MLflow

Horovod

Airflow

Docker

Podman

Singularity

Lustre

Ceph

Job description

Senior Cluster Site Reliability Engineer

Location

Employment Type

Full time

Location Type

Remote

Department

Software

Compensation

• Base Salary $205K – $235K Offers Bonus

The listed base salary range for this position is based upon the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation such as bonus compensation and other benefits.

Our benefits package includes medical, dental, and vision coverage, life and AD&D insurance, 20 days of paid time off, 9 sick days, and a 401(k) plan with a company match.

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.
Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more.

As a Senior Cluster Site Reliability Engineer (SRE), you will help scale our research compute cluster to meet our growing needs, and you will leverage engineering skills to ensure high degrees of uptime, reliability, and robustness. Our research clusters are at the core of our R&D, and you will be directly responsible for keeping this key resource available and performant. Your work will provide a world-class HPC platform for researchers to focus on cutting-edge machine learning problems at scale. You will support both on-prem and cloud infrastructure, and work to provide the best experience to our technical staff. You will leverage IaC, Automation, and SRE principles to refine and hone a product that operates 24/7 to support Voleon.

The Cluster Operations team works on the frontline to triage and mitigate real-time operational issues. You will be an integral member of this team, solving day-to-day issues with high urgency, while also engineering systemic improvements and architectural fixes to prevent recurring issues. You will collaborate with engineering teams to develop improvements to monitoring/telemetry. You will help design and oversee operational frameworks to ensure the cluster operates within a set of rigorous SLAs.

Responsibilities

Be a first responder in the event of cluster outages or issues. Triage and resolve urgent issues as they arise

Ensure a high degree of cluster uptime (measured in multiple nines), anddefine + track SLAs to quantify reliability

Diagnose systemic/recurring patterns of problems, and engineer precision solutions to them in collaboration with engineering teams

Develop robust metrics and observability for cluster health and use those metrics to inform your work. Build out custom observability mechanisms when off-the-shelf ones won't do

Help software and research teams design policies around fair cluster usage, and help develop enforcement mechanisms for said policies

Assist in forecasting cluster growth, and help select appropriate scale-up strategies. Help optimize operations across dimensions of cost and usability

Requirements

5+ years of experiencein SRE or DevOps roles, preferably working as a senior engineer or tech lead

Knowledge of HPC/batch compute frameworks (Slurm, Kueue, AWS/GCP Batch) and/or machine learning training systems (Kubeflow, MLflow, Horovod)

Ability to develop scripts and utilities of moderate complexity in a common scripting language (Python, Ruby, etc.)

Familiarity with infrastructure-as-code and configuration management tools (Terraform, Ansible)

Experience with cloud infrastructure (AWS or GCP)

Familiarity designing and implementing modern observability stacks (Prometheus, Grafana, Loki, ELK, OpenTelemetry)

Experience with distributed storage technologies (Lustre, Ceph, S3)

Embodies a "system engineer" rather than "system administrator" mindset, thinking systematically and leveraging automation

Bachelor degree in computer science

Preferred Qualifications

Hands-on experience with HPC frameworks (Slurm, Grid Engine) and Kubernetes-based job orchestrators (Airflow, Kueue, Kubeflow Pipelines), along with other distributed computing frameworks (Ray, Modin, Dask, Spark)

Familiarity with ML frameworks (PyTorch/Tensorflow, JAX, Horovod, DeepSpeed)

Familiarity with hybrid/on-prem environments

Experience with containerization (Docker, Podman, Singularity), particularly for HPC/batch compute environments

Experience with HPC networking (InfiniBand, RDMA)

Solid security/IAM foundations (Identity management systems, AWS/GCP IAM, Zero Trust)

“Friends of Voleon” Candidate Referral Program

If you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program .

Equal Opportunity Employer

The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.