Staff Full-Stack Engineer (1 Year Contract, Hybrid Work Set-Up)

Select how often (in days) to receive an alert:

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.

Job Overview

At TE, we strongly believe that data and AI are strategic drivers for future success. We are building a world-class advanced analytics team that will solve some of the most complex strategic problems and deliver topline growth and operational efficiencies across our business units.

TE is looking for a talented Staff Full Stack Engineer to join our team and lead the development of AI/ML/GenAI web applications. The ideal candidate will have a strong technical background in both front-end and back-end development, with a focus on Angular, React, FastAPI, and Python. You will be responsible for developing and maintaining high-quality, reliable, and innovative AI applications that meet the needs of our users.

As a Staff Full Stack Engineer, you will collaborate closely with data scientists, DevOps engineers, and MLOps engineers to implement and deploy AI algorithms and models as cloud-based web applications, ensuring scalability and performance. Staying current with best practices in AI development, web development, and cloud deployment will be essential.

Job Responsibilities

• Design and develop high-performance AI/ML/GenAI web solutions to solve various engineering and business challenges.
• Develop front-end and back-end components for web applications, integrating AI algorithms and models to provide AI-driven functionality.
• Collaborate with Enterprise, Application, Data & DevOps Architects, Data scientists, Machine Learning & GenAI Engineers, and Business teams to pilot use cases and discuss architectural design.
• Deploy web applications in production environments, including local servers or cloud platforms like AWS.
• Design and manage databases to store user data and AI-related information.
• Set up and configure infrastructure needed for AI and web solutions, including servers, databases, cloud services, and networking components.
• Implement CI/CD pipelines to automate deployment, ensuring rapid and reliable delivery.
• Monitor performance of AI and web solutions in production, optimizing for scalability, reliability, and efficiency.
• Conduct testing and quality assurance to ensure reliability, security, and performance.
• Prototype new technology solutions by working with cross-functional teams.

Job Requirements

• Bachelor’s or Master’s degree in Computer Science or related field with 10+ years of experience.
• Understanding of web development, data processing, distributed computing, high-performance computing, cloud computing (like AWS), deployment, maintenance, object-oriented programming (OOP), and SaaS.
• Deep understanding of back-end, front-end development, database management, data science, and machine learning.
• Strong programming skills in Python, SQL, PostgreSQL, MongoDB, HTML, JavaScript, React, Angular, FastAPI, REST API, or similar languages.
• Experience with machine learning algorithms involving multiple data types.
• Experience with Linux OS (Ubuntu, CentOS, etc.).
• Experience with Docker/Kubernetes, DevOps, MLOps, CI/CD, GitLab.
• Experience working on Agile projects and understanding Agile methodology.
• Excellent problem-solving, communication, and teamwork skills.

We Value

• Experience deploying AI projects leveraging cloud and on-premises environments.
• Strong problem-solving skills and results-oriented focus.
• Decision-making based on evidence and logical reasoning.
• Strong communication skills to interact with business users and executives.
• Certifications in AI/ML and Cloud platforms, such as AWS Certified Machine Learning.
• Ability to work in ambiguous, fast-paced environments, providing technical clarity and reducing technical debt.

Competencies

Values: Integrity, Accountability, Inclusion, Innovation, Teamwork

Location: Singapore, 01, SG, 239920

State: 01

Country/Region: SG

Travel: Less than 10%

Requisition ID: 133595

Alternative Locations:

Job Segment: Cloud, Front End, QA, Quality Assurance, Testing, Technology, Quality