Key Responsibilities:- Lead, mentor, and develop a team of 6-10 engineers, driving delivery and technical excellence across model development and operations.
- Define and execute the technical strategy for scalable model engineering solutions supporting research and investment insights.
- Oversee end-to-end software development lifecycle (SDLC), ensuring high-quality, reliable, and maintainable systems.
- Design and implement cloud-native architectures leveraging AWS serverless and microservices components.
- Partner with cross-functional teams to integrate data engineering and machine learning solutions into production environments.
Qualifications:- Minimum of eight years related work experience, with at least three years of development experience.
- Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.
- Strong background in data engineering and machine learning, with hands-on development experience.
- Experience in software lifecycle development and modern engineering best practices.
- Deep understanding of serverless architecture and microservices frameworks.
- Proficiency working with Python and data processing tools such as Pandas.
- Experience with AWS services including Lambda, Step Functions, S3, and EventBridge.
- Familiarity with advanced mathematical concepts, including vectors and multi-dimensional calculations.
- Demonstrated leadership experience managing and guiding technical teams.
Preferred Qualifications:Special FactorsSponsorshipVanguard is not offering visa sponsorship for this position.
