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

TE Connectivity; United States; Remote; USD 100,000 - 140,000; Full time

Job summary

TE Connectivity is seeking a Senior Full Stack Engineer to lead AI/ML web application development. This role requires extensive knowledge in both front-end and back-end technologies, proven experience in delivering high-quality AI-driven solutions, and collaboration with diverse teams to enhance operational efficiencies. Ideal candidates should possess a strong technical background along with excellent problem-solving and communication skills.

Qualifications

• 5-8+ years of experience in web development and AI.
• Strong programming skills in multiple languages including Python and SQL.
• Experience with Cloud platforms (AWS).

Responsibilities

• Develop high-performance AI web solutions.
• Collaborate with cross-functional teams.
• Monitor performance and optimize AI applications.

Skills

Python

SQL

JavaScript

React

Angular

FastAPI

Machine Learning

Cloud Computing

DevOps

Agile Methodologies

Education

Bachelor's or Master’s degree in Computer Science or related field

Tools

Docker

Kubernetes

GitLab

Job description

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 Senior 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 expertise in Angular, React, FastAPI, and Python. You will be responsible for developing and maintaining high-quality, reliable, and innovative AI applications that meet user needs.

As a Senior 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 is essential.

Job Responsibilities

• Design and develop high-performance AI/ML/GenAI web solutions to address engineering and business challenges.
• Develop front-end and back-end components for web applications, integrating AI algorithms and models to provide AI-driven functionalities.
• 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 security, reliability, and performance of solutions.
• Prototype new technological solutions by working with cross-functional teams.

Job Requirements

• Bachelor's or Master’s degree in Computer Science or related field with 5-8+ years of experience.
• Understanding of web development, data processing, distributed and high-performance computing, cloud computing (AWS), deployment, and object-oriented programming.
• Deep expertise in back-end and 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.
• Experience with machine learning algorithms involving diverse data types.
• Proficiency with Linux OS (Ubuntu, CentOS, etc.).
• Experience with Docker/Kubernetes, DevOps, MLOps, CI/CD, GitLab.
• Experience working within Agile methodologies.
• Excellent problem-solving, communication, and teamwork skills.

We Value

• Experience deploying AI projects on cloud and on-premises environments.
• Strong problem-solving skills and results-oriented approach.
• Decision-making based on evidence and logical reasoning.
• Effective communication skills for interacting with business users and executives.
• Certifications in AI/ML and Cloud platforms, e.g., AWS Certified Machine Learning.
• Ability to work in fast-paced, ambiguous environments, providing technical depth and clarity.

Core Values

Integrity, Accountability, Inclusion, Innovation, and Teamwork.