Senior/Staff Software Engineer, Data Engineering Team

Posted Yesterday
2 Locations
In-Office or Remote
Senior level
Financial Services
The Role
As a Senior or Staff Software Engineer, you will scale and advance data operations, design systems, and mentor team members in a collaborative, innovative environment.
Summary Generated by Built In
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. The people who shape our company come from other backgrounds, including concert music performances, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together.

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.

Your Team

As a Senior or Staff Software Engineer on our Data Engineering team, you will contribute to scaling and advancing our entire data operation. This includes procurement and ingestion of new datasets, enabling the use of data in research and production environments, building data-related systems and tooling, and collaborating closely with various teams to facilitate data consumption. You will work with our team lead to design, scope, and deliver large scale projects within the team. You will collaborate closely with a diverse group of engineers, and directly impact the team's productivity and successful delivery. You will help to define the team's technical roadmap towards achieving strategic-level engineering goals. You'll participate in mentorship and development of other engineers on the team, and shaping our company's engineering culture.
We seek brilliant thinkers who are passionate about taming complexity and solving problems through innovation and rigorous engineering. You’ll work in a collaborative environment that encourages creativity and experimentation, and values efficiency and attention to detail. Our engineers come from leading technology companies and top academic programs. Our team partners closely with machine learning researchers. We pride ourselves on being kind, friendly, and down-to-earth, and look for people who share those qualities.

Responsibilities

  • Engage and collaborate in diverse software development work, including design and implementation of data processing technologies, sourcing and delivery systems and pipelines, development of data related tools and libraries, and more.
  • Support our trading operations and promote our research effort through reliable delivery of high-quality data.
  • Build scalable and robust ingestion and distribution systems, and fault-tolerant production-critical pipelines.
  • Lead complex projects from start to finish, including gathering requirements, creating a robust software design, reasoning about supporting or dependent technologies, and communicating effectively with stakeholders, collaborators, and teammates.
  • Provide technical guidance to engineering and research staff.
  • Provide mentorship and support to help grow your teammates and up-level the team.

Requirements

  • Computer Science / Engineering bachelor’s degree (or equivalent)
  • 5+ years of relevant software engineering experience
  • Proven track record of software design and implementation with focus on correctness, robustness, efficiency, and scale
  • Experience working with large codebases and building modular, extensible, and maintainable software
  • Expertise in a modern programming language, such as Python, Go, Java or C++
  • Hands-on experience developing in a Linux/UNIX environment
  • Design and implementation of scalable services, highly-available systems, and/or robust data infrastructure
  • Strong communication skills and a knack for explaining complex ideas with clarity and simplicity

Preferred Qualifications

  • Familiarity with the following strongly preferred:
  • Experience with data storage and management technologies (e.g. PostgreSQL, Artifactory, Ceph, Redis)
  • Cluster management and containerization technologies (e.g. Kubernetes, Docker)
  • Job scheduling and orchestration technologies (e.g. Airflow, Slurm)

Top Skills

Airflow
Artifactory
C++
Ceph
Docker
Go
Java
Kubernetes
Linux
Postgres
Python
Redis
Slurm
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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.

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