Senior Software Engineer, Execution Engineering

Voleon Capital Management — United States · Posted ~5 hours ago

Senior

Skills

Software engineering Production trading systems Data pipelines Artificial intelligence Machine learning

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Summary ✨ AI‑Generated

A senior software engineering opportunity focused on building production trading systems and data pipelines that support machine learning in both research and production. The role offers collaboration with highly experienced AI/ML and finance professionals in a collegial technical environment.

Highlights

Work alongside recognized AI/ML researchers and experienced finance and technology professionals on production systems at the intersection of software engineering, machine learning, and finance. Competitive compensation, strong benefits, technical talks, and catered lunches are offered.

Description

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. 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 Software Engineer on our Execution 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 traders and research teams to contribute to a platform that supports a diverse set of requirements and complex trading behaviors. 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 real-time distributed trading systems that place orders across a global set of markets and asset classesIntegrate with new assets and markets and drive clarity on the resulting requirementsTake ownership of entire outcomes, and continue to support and grow them through iteration, documentation, and testingOwn observability and remediation tooling used to analyze trading performance and riskImprove the resilience and performance of our trading systemsParticipate in on-call rotations and drive incident response, root-cause analysis, and postmortemsLead projects spanning a number of engineering teams and collaborate with non engineering stakeholdersMentor and develop other engineers on the team, and share your practices and knowledge with the team and company Requirements Bachelor’s, Master’s, or Doctoret degree in Computer Science, Engineering, or a related field (or equivalent experience) 5+ years of software engineering experience architecting and operationalizing high-performance, scalable, reliable, and resilient distributed systemsProven expertise in building cloud-native, distributed systems on any one of AWS, Azure, or GCPDemonstrated experience with modern cloud technologies and data observability tools (e.g., CloudWatch, Grafana, Prometheus), and Infrastructure-as-Code (e.g., CloudFormation, Terraform)Experience designing telemetry standards (structured logs, metrics, distributed traces) and building dashboards and actionable alertingComfortable working in a containerized environment with Docker, Kubernetes, etcStrong coding, analytical, debugging, and troubleshooting skills including use of industry standard toolsGreat at communicating and influencing stakeholders Preferred Qualifications Familiarity with the trading domain; experience in trading/execution systems (Order Management Systems, market data, order lifecycle)Demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support decision-makingTrack record mentoring engineers and leading technical direction “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. Compensation Range: $225K - $255K