Cerebra Consulting Inc is a System Integrator and IT Services Solution provider with a focus on Big Data, Business Analytics, Cloud Solutions, Amazon Web Services, Salesforce, Oracle EBS, Peoplesoft, Hyperion, Oracle Configurator, Oracle CPQ, Oracle PLM and Custom Application Development. Utilizing solid business experience, industry-specific expertise, and proven methodologies, we consistently deliver measurable results for our customers. Cerebra has partnered with leading enterprise software companies and cloud providers such as Oracle, Salesforce, Amazon and able to leverage these partner relationships to deliver high-quality, end-to-end customer solutions that are targeted to the needs of each customer.

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

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

Duration: Open-ended Contract

Address:

5 Greenway Plaza

Houston, Texas 77046

*Downtown Houston

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.

Required Skills :

Basic Qualification :

Additional Skills :

Background Check : Yes

Drug Screen : No

Notes :
Selling points for candidate :
Project Verification Info :"The information provided below is for Apex Systems AV use only and is not to be distributed publicly, or to any third party. Any distribution of the below information will result in corrective action from Apex Systems Vendor Management. Client Letter: Will Not Provide"
Exclusive to Apex :No
Face to face interview required :No
Candidate must be local :No
Candidate must be authorized to work without sponsorship ::No
Interview times set : :No
Type of project :
Master Job Title :
Branch Code :

Forward Deployed Engineer - Full Stack, AWS, AI Engineering

Key skills

About this role