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Staff Software Engineer, Infrastructure Engineering

The Voleon Group

United States

Remote

USD 270,000 - 300,000

Full time

30+ days ago

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Job summary

An innovative technology company is seeking a Staff Software Engineer to join their Infrastructure Engineering team. In this pivotal role, you will develop core services that drive both production and research efforts. Collaborating with top-tier engineers and machine learning researchers, you will design, implement, and maintain systems that ensure high performance and reliability. This position offers an exciting opportunity to work in a dynamic environment where experimentation is encouraged and your contributions will directly impact the company's ambitious goals. If you are passionate about solving complex problems through engineering, this is the perfect opportunity for you.

Benefits

Medical Coverage
Dental Coverage
Vision Coverage
Life Insurance
401(k) Plan with Company Match
20 Days Paid Time Off
9 Sick Days

Qualifications

  • 7+ years of experience in software engineering with high-performance systems.
  • Strong communication and project management skills in technical domains.

Responsibilities

  • Design and maintain foundational services for data and compute management.
  • Collaborate with teams to expand and mature cloud presence.

Skills

Software Engineering
Project Management
Communication Skills
Mentoring
Problem Solving

Education

Computer Science Degree
Equivalent Experience

Tools

Python
Go
C++
Apache Airflow
Kubeflow
Terraform
Bazel
Jenkins
AWS
GCP

Job description

Job Description

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 Staff Software Engineer on our Infrastructure Engineering team, you will be developing the company's core services that drive production and research. You will be expected to work closely with hardware and software teams to build systems that are leveraged by our research and trading teams.

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
  • Help design, implement, and maintain foundational services, frameworks, and libraries for data and compute management
  • Work in cooperation with multiple teams to expand and mature our cloud presence
  • Develop and enforce company-wide standards related to code quality, code organization, and codebase management
  • Work with DevOps to maintain our CI/CD pipelines and ensure that developers can build, test, and deploy changes in a fast and high-quality manner
  • Leverage telemetry toolkits to track core performance and reliability metrics of the services we own. Help fulfill rigorous SLAs and performance guarantees
  • Help the company survey, evaluate, and adopt major new technologies. Design, coordinate, and execute company-wide adoption plans
  • Lead complex multi-team projects. Collaborate across DevOps, SysOps, Engineering, and Research teams to deliver a cohesive platform across research and production
  • Mentor and develop other engineers on the team, and share your practices and knowledge with the team and company
Requirements
  • Computer Science Degree or equivalent experience
  • 7+ years of software engineering experience building high-performance systems
  • Experience operating and scaling mission-critical, large-scale production systems in languages such as Python, Go and C++
  • Excellent communication and project management skills in complex technical domains
  • Track record mentoring engineers and leading technical direction
Preferred Qualifications
  • Experience with ML research platforms and associated frameworks for data processing, batch computing, and research (e.g., Apache Airflow, Kubeflow, Slurm, AWS/GCP Batch, Spark, Dask)
  • Expertise in CI/CD, build systems, and best practices for large codebase management (Bazel, Jenkins, Github Actions)
  • Exposure to cloud platforms, cloud-native architectures, and tools like Infrastructure-as-Code for managing cloud infrastructure (Terraform, Pulumi, CloudFormation)

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.

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.

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