Engineering Manager, Platform - Cloud Infrastructure
ValonSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, Asset Management, BiotechnologyIndustries
Position Overview
- Location Type: [Not Specified]
- Employment Type: Full-time
- Salary: [Not Specified]
Voleon is a technology company applying state-of-the-art machine-learning techniques to real-world problems in finance. They are a multibillion-dollar asset manager with ambitious goals for the future. As a Senior Software Engineer on the Infrastructure Engineering team, you will be developing the company's core services that drive production and research. You will work closely with hardware and software teams to build systems leveraged by research and trading teams. The team fosters a collaborative environment that encourages creative thinking and efficient implementation, embracing experimentation.
Requirements
- Computer Science Degree or equivalent experience
- 5+ years of software engineering experience building high-performance systems
- Experience operating and scaling mission-critical, large-scale production systems
- Proficiency 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
Responsibilities
- Design, implement, and maintain foundational services, frameworks, and libraries for data and compute management.
- Work in cooperation with multiple teams to expand and mature the company's cloud presence.
- Develop and enforce company-wide standards related to code quality, code organization, and codebase management.
- Work with DevOps to maintain CI/CD pipelines and ensure fast and high-quality deployments.
- Leverage telemetry toolkits to track core performance and reliability metrics of the services owned.
- 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.
- Mentor and develop other engineers on the team, and share practices and knowledge.
Preferred Qualifications
- Experience with ML research platforms and associated frameworks (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 related technologies.
Skills
Python
Go
C++
High-performance systems
Cloud computing
DevOps
Telemetry
CI/CD
System scaling
Project management
Mentoring
The Voleon Group
Investment management using machine learning algorithms
About The Voleon Group
Voleon focuses on investment management by utilizing machine learning to analyze financial market trends. The firm uses advanced statistical models to process large datasets and identify patterns that inform investment decisions, setting it apart from traditional methods that rely on human intuition. Voleon serves institutional clients and operates on a performance-based fee structure, aligning its interests with those of its clients. The company's goal is to provide data-driven insights that optimize investment returns while adapting to changing market conditions.
Berkeley, CaliforniaHeadquarters
2007Year Founded
VENTURE_UNKNOWNCompany Stage
Quantitative Finance, Financial ServicesIndustries
51-200Employees