Senior Java Fullstack Developer

Key Responsibilities

• Team Leadership: Build, grow, and retain a high-performing dev pod of Senior and Consultant App Engineers. Own hiring, performance, career development, and team operations.
• Dev-Side Architecture: Hold Architect-level authority for app-side technical decisions backend architecture, deterministic business logic, database access patterns, and system scaling choices (e.g., RabbitMQ-backed queues, async processing patterns).
• Delivery Oversight: Set the bar for code quality, review standards, and release readiness across all Strike Teams. Day-to-day per-project technical calls are delegated to the SR App Engineers leading each team; you set the standards they execute against.
• Cross-Pod Coordination: Pair with the AI Architect to ensure deterministic and non-deterministic components compose cleanly. Work with the Platform Architect on shared CI/CD, infrastructure, and observability requirements.
• Stakeholder Alignment: Translate priorities from PS leadership into project commitments, capacity plans, and quarterly roadmaps. Represent the dev pod in regional AI governance forums.
• Hiring & Performance: Drive the hiring pipeline for the open dev-side positions, calibrate leveling, and own performance and growth conversations across your direct reports.

Key Skills & Experience

• Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field.
• Experience: 10+ years of software engineering experience, including 3+ years managing engineering teams of 5+ direct reports.

Technical Proficiency:

• Strong backend development background (Java, Python, or equivalent) with deep experience in system design and distributed systems.
• Hands-on experience with database access patterns, message queues (RabbitMQ, Kafka), and horizontal scaling.
• Working understanding of how AI/LLM features get integrated into production systems. You own the architectural decisions where AI and deterministic components meet, partnering with AI specialists on deeper modeling work and knowing when to bring them in.
• Strong CI/CD and engineering hygiene background (Git workflows, automated testing, observability).
• People Excellence: Track record of building inclusive, high-trust engineering teams, managing performance, and growing engineers from mid-level into senior roles.
• Domain Context: Experience delivering complex enterprise software, ideally in a SaaS or platform productization context.

Preferred Skills & Experience

• Guidewire Knowledge: Prior experience with Guidewire InsuranceSuite or Guidewire Cloud is a significant plus.
• AI Productization: Experience leading teams that ship LLM-powered or AI-assisted features into production.
• Cloud Infrastructure: Familiarity with AWS, container orchestration, and infrastructure-as-code.
• PS Delivery: Background in Professional Services or consulting delivery organizations.