Senior / Lead Software Engineer (Java) with AI - Only W2

Dice is a leading financial services enterprise seeking a Senior / Lead Software Engineer for their SWAT-style Forward Deployed Engineering team. The role involves addressing critical technical challenges and pioneering AI-assisted software delivery by rapidly onboarding onto unfamiliar systems and delivering end-to-end solutions.

Responsibilities:

• Rapidly onboard onto unfamiliar codebases, build and run applications locally, and deliver working solutions within tight timelines
• Diagnose and resolve complex production issues across multiple platform teams
• Own end-to-end delivery of features, including:
• Implementation
• Testing (integration-level)
• CI/CD pipeline integration
• Work across distributed systems and enterprise-scale microservices architectures
• Use AI tools (e.g., Copilot, Claude Code or similar) to:
• Generate and iterate on code
• Create and refine test cases
• Accelerate debugging and development workflows
• Critically evaluate AI-generated output and correct gaps, assumptions, or inaccuracies
• Configure, troubleshoot, and improve build pipelines (Gradle/Maven, CI workflows)
• Collaborate with platform teams to resolve incidents and prevent recurrence
• (Lead role) Coordinate SWAT engagements and drive cross-team resolution efforts

Requirements:

• Strong experience working with enterprise-scale distributed systems
• Proficiency in: Java (Kotlin is a plus), Spring Boot, microservices architectures
• Proven ability to take a system from: clone build debug modify test integrate into CI pipeline independently
• Hands-on experience with: CI/CD pipelines (e.g., GitHub Actions or similar), build tooling (Gradle/Maven), environment and dependency management
• Strong debugging and root cause analysis skills across: build failures, dependency conflicts, runtime issues
• Practical experience using AI tools in software development workflows
• Ability to work effectively in: high-pressure environments, high ambiguity with minimal guidance
• Strong communication and collaboration skills
• Experience beyond basic autocomplete usage of AI tools, including: structured prompt writing, multi-step AI-assisted workflows, iterating on generated outputs
• Ability to: validate correctness of AI-generated code, identify gaps or incorrect assumptions, refine outputs to production-quality level
• Understanding of when AI can accelerate development vs when manual engineering is required
• Experience with agent-based or agent orchestration tools (e.g., Claude Code, LangGraph, similar)
• Familiarity with advanced developer environments (e.g., tmux, Warp, scripting workflows)
• Experience with Go (Golang)