Engineering Team Lead

North American Air Trav•Richmond, VA

13h

About The Position

This hands-on role combines software development, AI-augmented delivery practices, and mentorship to help the team deliver high quality solutions efficiently and at scale. The Team Lead does not directly manage people, but sets the technical bar, coordinates work across the initiative, and works with the Engineering Senior Manager on planning, quality, and team growth.

Requirements

Degree in Computer Science, Engineering, or equivalent practical experience
5+ years of professional software development experience delivering production systems
Strong hands-on experience with: Back-end: Java, Spring Boot, microservices, event-driven architecture, REST APIs
Strong hands-on experience with: Front-end: React and Grails
Strong hands-on experience with: Mobile: Flutter
Strong hands-on experience with: Data: NoSQL and relational modeling
Experience using AI coding assistants such as Claude Code, Copilot, Cursor, or similar tools in daily development workflows
Demonstrated ability to critically evaluate AI-generated code for accuracy, security, and maintainability
Experience with secure application design (OAuth2, OpenID, JWT) and relevant standards (e.g., PCI)
Knowledge of cloud platforms (AWS and/or Azure) and modern CI/CD practices
Experience working in an Agile environment using Scrum or Kanban methodologies
Excellent written and verbal English skills
Strong team player and positive contributor
Ability to learn applications quickly
Well-developed analytical, problem-solving, and decision-making skills
Able to consistently live our values of valued, effective and trusted
A strong customer experience focus
A passion for continuous learning and professional achievement
Successful completion of a criminal record check

Nice To Haves

Experience integrating AI/LLM APIs (Anthropic, OpenAI, or similar) into applications including RAG patterns is an asset

Responsibilities

Lead the design, development, testing, release, and support of features across TuGo’s web, mobile, and back-end platforms.
Coordinate sprint execution by breaking down work, removing blockers, facilitating ceremonies, and ensuring delivery commitments are met.
Guide technical decisions including architecture, patterns, code quality and implementation trade offs.
Contribute directly to development through coding, code reviews, testing and automation.
Champion the use of AI coding tools (Claude Code, Copilot, and similar) as a core part of daily delivery.
Establish standards for using AI responsibly in alignment with TuGo’s AI Sensible Use Policy, validating output for correctness, security, and maintainability.
Build and maintain internal knowledge resources including runbooks, prompt libraries, and technical documentation.
Evaluate and prototype practical AI use cases, including LLM, RAG, and agentic based solutions.
Support system reliability and contribute to SRE and operational best practices.
Participate in Tier 2 support and incident response activities.
Monitor key delivery and quality metrics such as throughput, defect rates, uptime and drive continuous improvement.
Lead root-cause analysis for production issues and ensure durable fixes.
Mentor engineers through pairing, code reviews, and technical one-on-ones.
Support onboarding and help new team members become productive quickly within TuGo’s AI-augmented development environment.
Support the Engineering Senior Manager with performance feedback, development planning, and hiring input.
Connect engineering work to measurable business outcomes including delivery speed, reliability and customer experience.
Collaborate with Product, Design, Compliance, and other stakeholders to deliver effective and appropriate solutions.
Contribute to planning, cost estimation, resourcing, and technical feasibility for new and ongoing initiatives.
Achieve performance targets.
Collaborate and communicate effectively with team members and all other teams.
Responsively and effectively handle issues.
Look for ways to improve customer experience.
Promote and model TuGo culture, values, and brand promise.
Continuously build professional and technical expertise.
Other duties as required.