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Senior/Staff Software Engineer, Data

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/Staff Software Engineer in our Data Engineering group, you will contribute to scaling and advancing our entire data operation. This includes procurement and ingestion of new datasets, enabling data processing and analysis in research and production environments, building data-related infrastructure and tooling, and collaborating closely with various teams to facilitate and improve their usage of data. 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 creative thinking 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 distributed systems and services, maintenance and deployment of production workflows, development of tools and libraries, and more
  • Support our trading operations and promote our research effort through reliable delivery of high-quality and easily accessible data
  • Build scalable data infrastructure, robust storage 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 other team members 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 and APIs, highly-available systems, and/or large-scale data infrastructure
  • Experience with data storage and management technologies (e.g. PostgreSQL, Artifactory, Ceph, Redis)


Preferred Qualifications
  • Familiarity with cluster management and containerization technologies (e.g. Kubernetes, Docker)
  • Familiarity with job scheduling and orchestration technologies (e.g. Airflow, Slurm)
  • Familiarity with cloud storage, querying, and processing technologies (e.g. Iceberg, BigQuery, Snowflake, DynamoDB, Trino/Athena)
  • Strong communication skills and a knack for explaining complex ideas with clarity and simplicity


Compensation


The base salary range for this position is $225,000 to $310,000 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.


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Average salary estimate

$267500 / YEARLY (est.)
min
max
$225000K
$310000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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