The Voleon Group Logo

The Voleon Group

Staff Software Engineer, Back Office

Job Posted 14 Days Ago Posted 14 Days Ago
Remote
Hybrid
2 Locations
270K-300K Annually
Senior level
Remote
Hybrid
2 Locations
270K-300K Annually
Senior level
Develop and optimize data infrastructures and trading systems, lead cross-functional projects, and mentor engineers in this senior role.
The summary above was generated by AI

Voleon is a technology company that applies state-of-the-art machine learning techniques to real-world problems in finance. For more than a decade, 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 Software Engineer on our Back Office Engineering team, you will be developing the company's production trading systems and the data pipelines that drive our machine learning in both production and research. You will be expected to work closely with both our finance and research teams to contribute to a platform that supports a diverse set of requirements and complex trading behaviors.


Your Team


We look for brilliant people with a passion for solving problems through innovation and engineering fundamentals. You’ll work in a collaborative environment that encourages creative thinking and efficient implementation. We embrace experimentation. You’ll work alongside experienced engineers recruited from leading technology companies and universities. You and your team will collaborate closely with top machine learning researchers.

Responsibilities

  • Design and optimize robust, scalable data infrastructure and real-time stream processing systems to support historical and live pipelines using tools like Python, Airflow, Go, and Apache Beam.
  • Develop and maintain observability and remediation tools to monitor and analyze trading performance and risk, ensuring reliability and transparency in operations.
  • Lead efforts to integrate new financial assets and markets, clarifying requirements and ensuring seamless functionality within existing systems.
  • Enhance the resilience, scalability, and performance of accounting and reporting systems to meet evolving business needs.
  • Build advanced tooling to unify data from diverse vendors, standardizing symbol mappings to ensure consistency and accuracy across systems.
  • Lead complex, company-wide projects by collaborating cross-functionally with research, legal, trading, finance operations, data, and infrastructure teams to deliver comprehensive end-to-end accounting and reporting systems.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from various data sources.
  • Guide and support the growth of other engineers on the team by mentoring them and sharing your expertise, best practices, and knowledge.

Requirements

  • Bachelor’s degree in Computer Science or equivalent professional experience in a related technical field.
  • 7+ years of software engineering experience designing and building high-performance, reliable systems.
  • Proven expertise in operating and scaling large-scale, mission-critical production systems, with proficiency in programming languages such as Python.
  • Strong communication and project management skills, particularly in navigating complex technical domains and cross-functional collaboration.
  • Demonstrated ability to mentor engineers and provide leadership in driving technical direction and system architecture.

Preferred Qualifications

  • Expertise in building and optimizing data pipelines (e.g., Apache Airflow, Spark, Kafka).
  • Experience with profiling and performance optimizations on distributed systems.
  • Familiarity with modern Python data science tooling (pandas, polars, dask, duckdb, etc.).
  • Experience with modern data engineering technologies.

Compensation

The base salary range for this position is $270,000 to $300,000 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 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.

 

Vaccination Requirement

The Voleon Group has implemented a policy requiring all employees who will be entering our worksite, including new hires, to be fully vaccinated with the COVID-19 vaccine.  This policy also applies to remote employees, as such employees will be asked to visit our offices from time to time. To the extent permitted by applicable law, proof of vaccination will be required as a condition of employment. This policy is part of Voleon’s ongoing efforts to ensure the safety and well-being of our employees and community, and to support public health efforts.


#LI-JA1

Top Skills

Airflow
Apache Beam
Spark
Dask
Duckdb
Go
Kafka
Pandas
Polars
Python
HQ

The Voleon Group Berkeley, California, USA Office

Downtown, Berkeley, CA, United States, 94704

Similar Jobs

An Hour Ago
Remote
United States
Mid level
Mid level
Cloud • Information Technology
Seeking a proactive Software Engineer to collaborate on backend development, optimize performance, and enhance Wasabi AiR product reliability. Must solve complex problems and improve processes.
Top Skills: AWSAzureGCPGitGoPythonRust
3 Hours Ago
Remote
United States
200K-250K Annually
Mid level
200K-250K Annually
Mid level
Cloud • Enterprise Web • Software
Develop and improve tracing features in an observability platform, manage complex projects, and collaborate with engineers and designers.
Top Skills: AWSClickhouseGoKubernetes
4 Hours Ago
Easy Apply
Remote
United States
Easy Apply
108K-122K Annually
Junior
108K-122K Annually
Junior
Insurance
As a Data Engineer II, you will design and maintain data solutions, manage data pipelines, collaborate with teams for data architecture, and educate others on data practices.
Top Skills: AirflowAivenArcgisBigQueryCloud FunctionsComposerDataformDebeziumFivetranGcp GcsGcp Vertex AiGoGCPKafkaNuxtPostgresPythonRSQLTailwindTerraformVuejsWebpack

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account