The Voleon Group

Senior Cluster Site Reliability Engineer

Reposted Yesterday

2 Locations

In-Office or Remote

205K-235K Annually

Senior level

Financial Services

The Role

The Senior Cluster Site Reliability Engineer will enhance the research compute cluster's uptime, reliability, and performance through engineering and operational improvements, ensuring high availability for researchers working on machine learning problems.

Summary Generated by Built In

Voleon is a technology company that applies state-of-the-art 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 machine learning to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.

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), and define + 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 experience in 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)

The base salary range for this position is $205,000 to $235,000 in 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.

“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.

Top Skills

Ansible

AWS

Ceph

Docker

Elk

GCP

Grafana

Horovod

Hpc

Infiniband

Kubeflow

Kueue

Loki

Lustre

Mlflow

Opentelemetry

Podman

Prometheus

Python

Rdma

Ruby

Singularity

Slurm

Terraform

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The Company

HQ: Berkeley, CA

169 Employees

Year Founded: 2007

What We Do

Founded in 2007 by two machine learning scientists, The Voleon Group is a quantitative hedge fund headquartered in Berkeley, CA. We are committed to solving large-scale financial prediction problems with statistical machine learning.

The Voleon Group combines an academic research culture with an emphasis on scalable architectures to deliver technology at the forefront of investment management. Many of our employees hold doctorates in statistics, computer science, and mathematics, among other quantitative disciplines.

Voleon's CEO holds a Ph.D. in Computer Science from Stanford and previously founded and led a successful technology startup. Our Chief Investment Officer and Head of Research is Statistics faculty at UC Berkeley, where he earned his Ph.D. Voleon prides itself on cultivating an office environment that fosters creativity, collaboration, and open thinking. We are committed to excellence in all aspects of our research and operations, while maintaining a culture of intellectual curiosity and flexibility.

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.