Lead Software Engineer - React, Java

Responsibilities

• Lead scalable, maintainable, performant, and accessible React UI architecture.
• Define and execute migration strategies from low-code applications to modern micro-frontends.
• Deliver high-fidelity responsive UX using reusable components, design systems, and Figma designs.
• Establish UI engineering standards covering state management, code conventions, performance profiling, and telemetry.
• Design and build Java/Spring Boot backend services, APIs, and event-driven integrations.
• Integrate distributed APIs and data sources with secure contracts, authentication, sessions, caching, pagination, error handling, and rate limits.
• Build production-ready conversational and agentic features, including streaming UX, session history, tool/function calling, retries, fallbacks, and orchestration.
• Drive troubleshooting, durable fixes, automated testing, CI/CD, cloud collaboration, and SDLC excellence.
• Lead adoption of enterprise-authorized AI-assisted development tools and establish standards for validating AI outputs.
• Coach engineers on secure, compliant, and responsible AI-assisted engineering practices.

Requirements

• Formal training or certification in software engineering concepts and 5+ years of applied experience.
• Deep hands-on React expertise, including component architecture, performance optimization, state management, and accessibility.
• Strong Java and Spring Boot backend development experience, including API design, service patterns, and integration.
• Experience modernizing web products and migrating legacy or low-code systems to modern architectures such as micro-frontends.
• Strong understanding of distributed API integration, reliability, latency, observability, and security.
• Experience with testing, SDLC best practices, and implementing or operating CI/CD pipelines.
• Practical understanding of cloud infrastructure, deployment patterns, monitoring, logging, and environment management.
• Understanding of responsible AI use in engineering workflows, data sensitivity, secure input/output handling, resiliency, and security expectations.
• Demonstrated experience using approved AI-assisted software development tools for coding, code review, test acceleration, or troubleshooting, including validating outputs for correctness, performance, and security.
• Preferred: experience with design systems, component libraries, functional and behavioral testing strategies, and product design thinking.
• Preferred: production experience with conversational or agentic features, including UX, tool/function calling, and orchestration.
• Preferred: familiarity with containers, Kubernetes, modern DevOps practices, observability, runbooks, and SLOs.

Benefits

• Competitive total rewards package with base salary determined by role, experience, skill set, and location.
• Eligible roles may receive commission-based pay or discretionary incentive compensation in cash or forfeitable equity.
• Comprehensive health care coverage and on-site health and wellness centers.
• Retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.
• Enhanced pre-hire screening, including criminal and credit background checks where permitted by law, is required for this high-risk technology role.