Lead Software Engineer

Overview

As Lead Full-Stack Software Engineer you drive architectural ownership and cross-functional technical leadership for an enterprise-scale platform. You will shape the SDLC, mentor teams, and pioneer AI-assisted development tool adoption, delivering frontend leadership for the Research Platform from discovery to production. You design platform-first solutions balancing client, internal, and partner needs, while advancing secure, compliant, and scalable systems. This role offers meaningful impact through enterprise transformation and technology strategy.

Responsibilities

• Own and guide architecture for enterprise-scale platforms
• Lead frontend deliverables for the Research Platform from concept to production
• Shape and govern SDLC strategy and delivery mechanisms
• Mentor engineering teams and foster a culture of continuous learning
• Drive adoption of enterprise AI-assisted tools with validation standards for security and correctness
• Collaborate with product managers and other engineering teams to translate complex requirements into robust solutions
• Define and promote scalable UI frameworks and design systems in partnership with UX/UI
• Ensure disciplined testing (unit/integration/e2e), accessibility, and compliance by default
• Manage cross-team coordination to troubleshoot and resolve highly complex technical challenges
• Evaluate emerging tools to evolve the team’s technology strategy

Key requirements

• 8–12 years of experience
• Deep Java expertise
• Strong frontend framework experience (React, Vue, Svelte, Angular, or equivalent)
• Proven experience with modular and microservices architectures
• Cloud-native application design and deployment (AWS, Azure, or Google Cloud)
• Hands-on with modern frontend build tools (Vite, Turbopack, Webpack)
• Experience implementing design systems (Material, Fluent, Carbon, Radix, Bootstrap, or equivalent)
• Autonomous problem-solving across multiple teams and stakeholders
• Experience with enterprise AI coding tools and responsible AI practices
• Prior work delivering in Financial Services or regulated tech environments

• Cross-functional leadership
• Mentoring and coaching
• Strong collaboration and communication
• Java programming
• Frontend frameworks: React/Vue/Svelte/Angular
• Microservices architecture

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