Application Engineering Technical Lead - II

Vanguard • Malvern, PA

3d • Hybrid

About The Position

At Vanguard, we don't just have a mission—we're on a mission. To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best. Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience. Vanguard, one of the world's leading investment management companies, serves individual investors, institutions, employer-sponsored retirement plans, and financial professionals. We have a diverse and talented crew with a culture that promotes teamwork, along with an unwavering focus on serving our clients' best interests.

Requirements

• Minimum of eight years related work experience, with at least three years of development experience.
• Undergraduate degree or equivalent combination of training and experience.
• 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.

Nice To Haves

• Graduate degree preferred.
• AWS Certification.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree