Global Soft Systems

Role: Senior Forward Deployed Engineer (Full Stack, AWS, AI Engineering)

Location: Houston, Texas (Onsite 3 days/week)

Duration: Long Term

Position Overview

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.

Key Responsibilities

• 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.

Required Qualifications

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.

What Success Looks Like

• Rapidly understand business problems and convert them into working technical solutions.
• Independently build, deploy, and support production applications.
• 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.