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

Info Dinamica IncAK🇺🇸United StatesPosted 22 Jul 2026

Why This Role Stands Out

This unique remote opportunity offers you the chance to pioneer AI-assisted software delivery at scale within a leading financial services enterprise, rapidly solving critical technical challenges and driving high impact. You will thrive here if you are a hands-on, autonomous engineer eager to leverage AI tooling and deliver end-to-end solutions across diverse systems with exceptional problem-solving skills. Apply now to join this forward-thinking team and accelerate your career in cutting-edge technology.

Quick Overview

Work Type
Remote
Level
Mid Senior

Job Description

Java with AI (Senior / Lead Software Engineer)
100% Remote (US)
Job Type: W2 Contract
Description:
Senior / Lead Software Engineer - SWAT / Forward Deployed Engineering Team
Overview:
  • Our client, a leading financial services enterprise, is building a SWAT-style Forward Deployed Engineering (FDE) team to address critical technical challenges across Enterprise Platforms and to pioneer AI-assisted software delivery at scale.
  • This role is not a traditional backend engineering position. We are seeking hands-on engineers who can rapidly onboard onto unfamiliar systems, deliver end-to-end solutions, and leverage modern AI tooling to accelerate development workflows.
  • Engineers in this team will act as high-impact problem solvers, moving across teams to resolve production issues, implement new functionality, and improve system reliability - often under time pressure and in highly ambiguous environments.
What This Role Is:
  • Forward Deployed Engineering / SWAT problem-solving
  • AI-assisted, toolchain-heavy, full-stack delivery mindset
  • High autonomy, high impact engineering role
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
Required Qualifications:
  • 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
AI & Tooling Fluency (Critical for Success):
  • 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
Nice to have:
  • 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)

Skills

Microservices
Spring
Spring Boot
GitHub Actions
Go
Java
Kotlin

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