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

Saransh Inc (Alaska, USA) Follow 4 hours ago

Contract GitHub Distributed Systems Debugging AI Dependency Management

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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:

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)

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