Senior / Lead Software Engineer SWAT / Forward Deployed Engineering Team
Location fully remote in US
Long-term duration
Job Description:
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.
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)
What This Role Is
Forward Deployed Engineering / SWAT problem-solving
AI-assisted, toolchain-heavy, full-stack delivery mindset
High autonomy, high impact engineering role
What This Role Is Not
Pure feature factory development
Narrow backend-only role
Low-ambiguity / well-defined sprint execution
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