Application Engineering Technical Lead - II

Vanguard•Malvern, PA

1d•Hybrid

About The Position

We are seeking a Tech Lead to join our Conversation Channels group in PiTech. In this role, you will provide expert level IT technical lead services, including the direction, evaluation, selection, configuration, implementation, and integration of new and existing technologies and tools. You will also ensure the understanding and application of GenAI within your team. Our product line focuses on common services and infrastructure for intelligent conversations, incorporating GenAI vendor solutions, applying GenAI guardrails, governance, observability to ensure accurate and safe conversations. You will have the opportunity to work on GenAI application integrating state-of-art vendor solutions and Vanguard internal GenAI capability. Exciting opportunity! Ideal candidates have full stack development skills, familiarity with various AWS technologies, Cloud computing, ECS (Fargate), IAM, Lambda, SQS, SNS, S3, Glue, DynamoDB, Athena, Relational database, SQL and CloudWatch for event driven architecture, Node.js, Angular, React, Splunk, Honeycomb, Grafana, performance tuning, production monitoring and diagnostics included. Nice to have are Genesys, VGBench, Arize, Norm AI.

Requirements

Bachelor's or Master's degree in Computer Science, Information Technology, or related field. Graduate degree preferred.
8+ years of software development experience, including 3+ year in a Technical Lead or equivalent technical leadership role
Strong experience designing and delivering production‑grade software in cloud‑based environments
Demonstrated technical leadership through hands‑on contribution, mentoring, and technical guidance
A quality‑first mindset, with experience building reliable, scalable, and observable systems
Comfort using AI‑assisted engineering tools to improve developer productivity, code quality, and delivery flow
Ability to collaborate effectively with engineering managers, product partners, and cross‑functional stakeholders
Familiarity with CI/CD pipelines and tooling, with preference for GitHub-based workflows
Experience with frontend development technologies (Angular/React, JavaScript/Typescript, CSS, Jest)
Proficiency in NodeJS Typescript/JavaScript development
Proficiency in development with Java, Spring framework.
Experience with Python.
Proficiency in DevOps concepts, tools and continuous delivery pipelines, specifically Git, Github, Splunk, Honeycomb, Grafana
Proficiency in AWS technologies: CloudFront, S3, ECS, IAM, DynamoDB, Lambda, SNS, SQS
Proficiency in relational databases, SQL
Proficiency in GenAI tools eg. Claude Code, Copilot Agent

Nice To Haves

Genesys
VGBench
Arize
Norm AI

Responsibilities

Drive technical design for team initiatives.
Translate product direction and architectural guidance into clear technical approaches that engineers can execute with confidence.
Stay deeply hands‑on. Contribute to design and implementation, review code and technical changes, and lead by example through strong engineering practices.
Drive best‑in‑class Site Reliability Engineering (SRE) practices, observability, and operational excellence.
Guide day‑to‑day technical decision‑making.
Help engineers navigate tradeoffs, resolve complex technical problems, and choose solutions that balance quality, performance, and long‑term maintainability.
Uphold high engineering standards. Reinforce expectations around reliability, scalability, security, testing, and operational readiness across the team’s work.
Mentor engineers through technical growth. Provide practical coaching, feedback, and technical guidance that helps teammates strengthen skills and judgment.
Leverage cloud‑first and AI‑assisted engineering practices. Use modern cloud platforms and AI‑enabled tools to reduce friction, improve code quality, and accelerate delivery.
Identify and address technical risks and impediments. Surface concerns early, simplify constraints where possible, and partner with architects or subject‑matter experts when deeper alignment is needed.
Collaborate closely with the Delivery Manager and Product partners. Align on technical direction, sequencing, and dependencies to support effective delivery.
Foster a culture of learning and continuous improvement. Encourage experimentation, reflection, and thoughtful evolution of technical approaches and team practices.
Contribute beyond immediate team. Participate in cross‑team initiatives, planning discussions, and special projects that strengthen engineering practices across the organization.