Forward Deployed Engineer

Global Soft Systems
Houston, TX, United States
about 1 month ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source

Tech stack

.NET Framework Agile Methodology Artificial Intelligence Amazon Web Services Applications Architecture C Sharp (Programming Language) Cloud Computing Code Generation Software Quality Code Review Continuous Integration Software Debugging
+26 more
DevOps Github NoSQL Productivity Software Cloud Services Software Deployment Software Engineering TypeScript Cloud Platform System .NET Core GitHub Copilot Large Language Models Prompt Engineering Generative AI Backend Git Containerization AngularJS Kubernetes Deployment Automation Restful APIs Terraform Software Version Control Docker Jenkins Microservices

Job description

We are seeking a Forward Deployed Engineer (FDE) to support a critical initiative. This role is ideal for a hands-on engineer who thrives at the intersection of software engineering, cloud infrastructure, DevOps, AI-assisted development, and business problem solving.

As a Forward Deployed Engineer, you will work closely with stakeholders to understand business challenges, design technical solutions, rapidly prototype and develop applications, and deploy production-ready systems. The ideal candidate is a self-sufficient engineer who can own the entire software lifecycle, from requirements gathering through deployment and support.

This position requires strong full-stack development expertise with Angular, C#/.NET, AWS, and Terraform, along with experience utilizing GitHub Copilot and AI Software Engineering techniques to accelerate delivery and improve code quality., * Partner directly with business stakeholders, product teams, and end users to understand requirements and translate them into technical solutions.

  • Design, develop, test, and deploy full-stack applications in cloud environments.
  • Build responsive front-end applications using Angular and TypeScript.
  • Develop scalable APIs, services, and backend systems using C#/.NET.
  • Architect and implement cloud-native solutions on AWS.
  • Create and manage Infrastructure as Code (IaC) using Terraform.
  • Own application deployment, CI/CD pipelines, and operational support.
  • Leverage GitHub Copilot and AI-assisted development tools to improve engineering productivity and software quality.
  • Apply modern AI Software Engineering practices, including AI-assisted coding, code generation, testing, debugging, and documentation.
  • Troubleshoot production issues and implement long-term solutions.
  • Collaborate with cross-functional teams in an Agile environment.
  • Drive engineering best practices, code reviews, security standards, and operational excellence., * Utilize AI-enhanced engineering practices to increase delivery speed and software quality.
  • Serve as a trusted technical partner to stakeholders and project teams.
  • Deliver scalable, secure, and maintainable cloud-native solutions.

Requirements

Technical Skills

  • 8+ years of software engineering experience.
  • Strong full-stack development experience.
  • Advanced proficiency with:
  • Angular
  • TypeScript
  • C#
  • .NET / .NET Core
  • Hands-on AWS experience, including deployment and management of cloud solutions.
  • Strong Terraform experience for Infrastructure as Code.
  • Experience developing and consuming REST APIs and microservices.
  • Experience with relational and/or NoSQL databases.
  • Experience with Git-based source control and CI/CD pipelines.
  • Ability to independently deploy, support, and maintain applications in production environments.

AI Engineering Requirements

  • Hands-on experience using GitHub Copilot.
  • Experience utilizing AI-assisted software development workflows.
  • Knowledge of modern AI Software Engineering practices.
  • Ability to leverage LLM-based tools to improve design, coding, testing, documentation, and debugging activities.
  • Familiarity with prompt engineering and AI-powered developer productivity tools.

DevOps Requirements

  • Experience owning application deployments from development through production.
  • Hands-on experience with:
  • Terraform
  • CI/CD pipelines
  • GitHub Actions, Jenkins, or similar tools
  • Docker and containerized workloads
  • Strong understanding of cloud infrastructure and deployment automation.

Preferred Qualifications

  • Previous experience as a Forward Deployed Engineer, Solutions Engineer, Customer Engineer, Technical Consultant, or similar client-facing role.
  • Experience supporting customer implementations and production deployments.
  • Experience with Kubernetes and container orchestration.
  • Familiarity with Generative AI, LLMs, RAG architectures, LangChain, or agent-based systems.
  • Experience operating in highly collaborative, fast-paced environments.
  • Strong communication and stakeholder management skills.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:20 min

Identifying multi-disciplinary talent for developer experience engineering roles

Hazal Mestci +1 · Coffee With Developers

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

2:37 min

Comparing traditional SQL tables versus NoSQL non-tabular databases

Stanimira Vlaeva · JS Congress

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · World Congress 2025

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

56 sec

Favorite git commands and the importance of patch commits

Eileen Uchitelle Eileen Uchitelle +1 · Coffee With Developers

Videos

See all

Related articles

See all