Application Engineering Technical Lead - III

The Vanguard GroupMalvern, PA
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. How We Work 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.

Requirements

  • Senior‑level experience in platform engineering, technical leadership, or architecture roles.
  • Hands‑on experience with AWS services and cloud‑native solutions.
  • Hands on experience with programming languages, preferably in Python.
  • Expertise in CI/CD pipelines, automation, and modern software development practices.
  • Experience deploying and integrating third‑party SaaS and vendor platforms in AWS.
  • Experience in various authentication and authorization patterns for integrating SaaS solutions including SAML and SCIM.
  • Strong understanding of cloud security, compliance, and enterprise integration patterns.
  • Working knowledge of AI platforms, AI Agents, and AI‑enabled workflows, preferably in the Finance industry.
  • Strong communication skills and ability to collaborate across technical and non‑technical teams.
  • Minimum of eight years related work experience, with at least five years of development experience.
  • Undergraduate degree or equivalent combination of training and experience.

Responsibilities

  • Lead the design, implementation, and production support of cloud‑based SaaS and AI platforms, including integrating third‑party vendor solutions.
  • Conducts testing, including functionality, technical limitations, and security.
  • Define and apply architecture standards, integration patterns, and best practices for AI and enterprise platforms.
  • Provide hands‑on development and DevOps support, including code development, automated testing, CI/CD pipelines, and production deployments.
  • Ensure platforms meet enterprise security, resiliency, compliance, and SDLC standards.
  • Provide technical leadership and guidance to engineers and cross‑functional teams.
  • Ensures the viability of IT deliverables, recommends development and architectural options, approves the team's technical deliverables.
  • Partner with Product, Delivery, Security, Legal, and vendor teams to support responsible AI adoption and platform roadmap execution.
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