Forward Development Engineer

Position Title

Forward Development Engineer

Location

Dallas, TX (Onsite)

Duration

Long Term Contract

Role and responsibilities

A Forward Development Engineer is responsible for designing, developing, and testing innovative solutions, prototypes, and future-state technologies that support product evolution, new business opportunities, and digital transformation initiatives.

Job description

The role involves working on cutting-edge projects, collaborating with cross-functional teams, and contributing to the company's technological advancements. The position requires a proactive approach to research and development, with a focus on creating scalable and efficient solutions.

Basic Qualifications

• Bachelor’s degree in computer science, Engineering, Information Technology, or related field.
• Strong programming skills in languages such as Java, Python, C#, JavaScript, or similar.
• Experience with cloud platforms (Azure, AWS, or Google Cloud).
• Knowledge of software architecture, APIs, microservices, and DevOps practices.
• Understanding of Agile/Scrum methodologies.
• Strong analytical, problem-solving, and communication skills.
• Ability to learn and adopt new technologies quickly.

Required Skills

• Research and evaluate emerging technologies, tools, and frameworks.
• Design, develop, and validate proof-of-concepts (POCs) and prototypes.
• Collaborate with product managers, architects, and business stakeholders to define future requirements.
• Develop scalable software solutions using modern programming languages and development practices.
• Analyze technical feasibility, performance, and integration requirements.
• Create technical documentation, design specifications, and development standards.
• Participate in code reviews, testing, debugging, and performance optimization.
• Support continuous improvement and innovation initiatives.
• Work closely with cross-functional teams to transition successful prototypes into production-ready solutions.

Preferred Qualifications

• Experience with AI/ML, data engineering, automation, or emerging technologies.
• Knowledge of containerization technologies such as Docker and Kubernetes.
• Experience in R&D, innovation labs, or product engineering environments.
• Relevant technical certifications.