Digital Engineering - SW & AI

TE Connectivity; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

TE Connectivity is seeking a software engineer in Bengaluru with 3-6 years of experience to design, build, and integrate scalable software solutions. You will work on automation apps, backend services, data processing, and user-facing features, using Python and React.

The role involves API-centric integration, data flows, and AI/ML capability integration to deliver reliable, scalable systems. You will collaborate with diverse teams, follow structured development practices, and help deploy PoCs

Qualifications

• 3–6 years of professional software development experience
• Proficiency in Python and React for frontend
• Experience with REST APIs, API integration, and SOA
• Strong SQL skills and relational data modeling
• Working knowledge of NoSQL databases
• Familiarity with cloud architectures (AWS and Azure)
• Understanding of ML concepts including training, inference, and deployment
• Knowledge of Git and collaborative development practices
• Awareness of testing, debugging, and documentation practices
• Exposure to IoT, industrial automation, or data-driven domains is a plus

Responsibilities

• Develop applications for automation, backend services, data processing, and user-facing solutions
• Build and integrate API-driven services across engineering tools and databases
• Design data flows connecting engineering data and processes
• Develop modular, reusable software components
• Integrate AI/ML capabilities into applications
• Support PoCs deployment on-premises or in the cloud
• Collaborate with engineering stakeholders to deliver clean data
• Adhere to code reviews, testing, documentation, and release processes
• Evaluate technology choices for scalability and value
• Maintain a simple, scalable architecture with minimal tool proliferation
• Tackle tasks with ownership and hands-on execution

Skills

Python

React

REST APIs

SQL

NoSQL

Git

Testing

Cloud (AWS/Azure)

Machine Learning

Generative AI

Edge computing

Modular architecture

Tools

None

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

Determines problems within specific systems and provides solutions, including designing new systems, platforms or test applications.

Job Requirements

• Develop applications for automation, backend services, data processing, and user-facing solutions.
• Build and integrate API-driven services across engineering tools, enterprise systems, and databases.
• Design and implement data flows that connect Engineering evidence.
• Develop modular and reusable software components.
• Integrate AI/ML capabilities into engineering and business applications.
• Support deployment of PoCs and manage the roll-out on-premises or at the cloud.
• Work with engineering stakeholders on solutions which deliver clean data.
• Apply structured development practices including code reviews, testing, documentation, release management, and version control.
• Evaluate technology choices based on scalability, maintainability, reuse, and business value.
• Maintain a feature-first approach, prioritizing usable functionality and simplicity while avoiding unnecessary architectural complexity and tool proliferation.
• Take each task with full scope of responsibility and a hands-on mindset.

What Your Background Should Look Like

• 3–6 years of relevant professional experience in software development, AI/ML engineering, systems integration, engineering software, automation, or a related field.
• Strong proficiency in Python and React for the frontend.
• Practical experience with REST APIs, API-based integration, and service-oriented architectures (including MCP).
• Strong understanding of SQL, relational data modeling, and database design.
• Working knowledge of NoSQL databases and their appropriate use cases.
• Good understanding of modular software architecture, reusable components, and separation of concerns.
• Familiarity with cloud computing architectures (AWS and Azure).
• Basic understanding of edge computing and distributed application architectures.
• Working knowledge of machine learning and deep learning concepts, including model training, inference, evaluation, and deployment.
• Familiarity with generative AI, LLM-based applications, AI agents, or AI-enabled workflow automation is desirable.
• Working knowledge of Git and collaborative software development practices.
• Understanding of software quality practices including testing, debugging, documentation, and code review.
• Exposure to engineering, manufacturing, industrial automation, IoT, machine data, or process data.
• Basic familiarity with CAD/CAE, simulation, digital twins, or model-based engineering.
• Strong analytical and problem-solving capability with the ability to convert loosely defined requirements into implementable solutions.
• Understanding of a scalable and adoptable UX design.

Competencies

Values: Integrity, Accountability, Inclusion, Innovation, Teamwork