Forward Deployed Engineer
FullTime-Remote
USA
Overview
We are looking for an exceptional full-stack software engineer who will act as a Forward
Deployed Engineer (FDE) to serve as the critical interface between the central AI Application
Modernization Factory and our application teams. The FDE will be temporarily embedded within
delivery teams to directly drive the modernization of key applications, ensuring technical
success, accelerated adoption of AI-assisted SDLC practices, and lasting upskilling of team
members. This is a high-impact, hybrid role requiring advanced software engineering skills,
deep knowledge of cloud-native patterns, and proven expertise in consultation, change
management, and building strong rapport with diverse teams.
Key Responsibilities
Application Modernization Execution: Embed with application teams to provide hands-on
technical leadership, driving the design, development, and delivery of modernization efforts (re-
platforming, microservices adoption) to AWS cloud-native architectures.
AI-First SDLC Adoption & Upskilling: Act as the subject matter expert on the AI
Modernization Factory's tools and processes (e.g., Cursor, Claude Code). Drive the adoption
and change management necessary to embed AI-assisted software development practices into
the team's daily workflow.
Consultative Engineering & Change Management: Build trust and rapport with new, diverse
teams quickly. Identify team-specific technical and process bottlenecks, recommending and
implementing solutions, and effectively managing the people/process side of technical change.
Hands-on Software Development: Make significant code contributions, focusing on setting up
architectural scaffolding, CI/CD pipelines, IaC (Terraform), and solving complex, blocking
integration challenges for the embedded team.
Feedback Loop: Serve as the primary feedback channel, relaying practical challenges, tool
deficiencies, and necessary process adjustments back to the central Principal Engineer and
Architect to continuously improve the factory's capabilities.
Standards & Quality: Ensure embedded teams adhere to the central factory's engineering
standards, including Twelve-Factor App principles, DevSecOps practices, and high-quality
coding standards.
Required Qualifications & Experience
Experience: 5+ years of progressive experience in Software Engineering, with a focus on
enterprise applications and application modernization.
Full Stack Proficiency: Strong hands-on experience across the full application stack (front-
end, back-end, database, infrastructure). Expert proficiency in one or more modern technology
languages (e.g., Python, TypeScript, C#, Java).
Cloud Native & IaC: Deep practical experience building and deploying scalable applications on
AWS. Strong proficiency with Infrastructure-as-Code (IaC), specifically Terraform.
Consulting & Change Management: Proven ability to onboard rapidly, assess team dynamics
and technical landscapes, influence technical direction without formal authority, and drive
organizational/process change within established engineering teams.
DevSecOps & CI/CD: Hands-on mastery of setting up and optimizing CI/CD pipelines (GitHub
Actions, GitLab CI) and integrating DevSecOps best practices.
Architectural Understanding: Solid understanding of modern architectural patterns
(microservices, serverless, event-driven architecture) and the principles of Domain-Driven
Design (DDD).
Communication & Interpersonal Skills: Exceptional communication, presentation, and
listening skills. Ability to articulate complex technical issues and solutions to both technical and
non-technical stakeholders effectively.
Preferred Skills (A Plus)
Prior experience in a consulting, Staff Engineer, or Forward Deployed role, specifically focused
on technical adoption or modernization.
Direct experience training or mentoring other software engineers in new technologies or
methodologies.
Hands-on experience with modern UI frameworks like React, NextJS, or similar.
Experience utilizing AI-assisted coding tools (Cursor, Claude Code) in a professional
development environment.
Familiarity with containerization (Docker/Kubernetes) and serverless architectures (AWS
Lambda).