Principal Software Engineer

At ABB, we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world

• This Position reports to: Technical Director - Digital Software En

What We Believe In

ABB's Process Automation business area enables customers to operate some of the world's largest and most complex industrial infrastructures, helping them outrun – leaner and cleaner.

We deliver automation, electrification, and digital solutions across process, hybrid, and maritime industries through advanced industrial software, Edge computing, Industrial IoT, AI-enabled platforms, and analytics solutions that accelerate digital transformation and operational excellence.

Your Role and Responsibilities

In this role, we are looking for a Senior Software Engineer – Edge & Industrial IoT Platforms to join our Industrial Automation Digital Organization. You will contribute to the design, development, and deployment of enterprise-grade Edge and Industrial IoT software platforms supporting mission-critical industrial systems. Working with modern distributed architectures, cloud-edge integrations, and AI-assisted engineering workflows, you will help deliver secure, scalable, and high-performance software solutions that enable ABB's industrial digitalization strategy.

Working as part of a collaborative Agile engineering team, you will partner with Solution Architects, Product Management, DevOps, Quality Engineering, and global software teams to build next-generation industrial software platforms using .NET, C#, ASP.NET Core, Kubernetes, Docker, Azure, and modern cloud-native technologies.

This role is contributing to the Process Automation – Digital Industry Analytics / Research & Development organization in Bangalore, India

• The work model for the role is: Hybrid

You will be mainly accountable for

• Design, develop, and maintain enterprise-grade Edge and Industrial IoT applications using .NET/C#, ASP.NET Core, REST APIs, and modern cloud-native technologies, while building scalable microservices, containerized applications, and distributed systems.
• Develop secure Edge computing solutions by implementing telemetry ingestion, device management, industrial communication protocols, edge-to-cloud integrations, event-driven architectures, and high-performance data processing pipelines.
• Collaborate with Product Management, Architects, DevOps, and Quality Engineering teams to deliver reliable software through Agile methodologies, CI/CD automation, AI-assisted development practices, and modern engineering standards.
• Ensure engineering excellence by driving software quality, performance optimization, observability, cybersecurity, troubleshooting, production support, and continuous improvement across the software development lifecycle.

Qualifications for the Role

• Bachelor's or Master's degree in Computer Science, Information Technology, Electronics, Software Engineering, or a related technical discipline.
• 10-15 years of experience in enterprise software development using .NET/.NET Core, C#, ASP.NET Core, REST APIs, and full-stack application development.
• Strong experience with Kubernetes/OpenShift, Docker, microservices, CI/CD pipelines, Git, cloud-native application development, and distributed system architectures.
• Knowledge of Industrial IoT, Edge Computing, industrial communication protocols (MQTT, AMQP, OPC-UA, Modbus), Linux environments, and event-driven architectures, with exposure to Azure or hybrid cloud platforms preferred.
• Experience with AI-assisted development tools such as GitHub Copilot, Generative AI workflows, telemetry pipelines, observability platforms, and industrial automation solutions is considered an advantage.
• Strong understanding of software engineering fundamentals, including testing, debugging, performance optimization, secure software development, and high-availability application design.
• Excellent analytical, communication, collaboration, and problem-solving skills with the ability to work effectively in Agile teams, mentor junior engineers, and continuously adopt emerging technologies.

More About Us

ABB is a leading global technology company driving the transformation of industries toward a more productive and sustainable future. The Process Automation business area automates, electrifies, and digitalizes some of the world's most complex industrial infrastructures across energy, process, hybrid, and maritime industries.

Our Digital organization develops innovative industrial software, Edge computing platforms, Industrial IoT solutions, cloud-native applications, and AI-powered technologies that help customers improve operational efficiency, reliability, safety, and sustainability. By combining deep domain expertise with cutting-edge technologies, ABB empowers customers to accelerate their digital transformation journey.

At ABB, you'll collaborate with global engineering teams to build next-generation Edge, Industrial IoT, and AI-powered software platforms while advancing your expertise in cloud-native engineering, distributed systems, and industrial automation. We foster a culture of innovation, continuous learning, diversity, and inclusion where every individual is empowered to make a meaningful impact.

ABB is committed to providing equal employment opportunities to all qualified applicants. Employment is subject to applicable background verification and pre-employment screening in accordance with ABB policies.

Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. We welcome people from all backgrounds and experiences.

Ready to make an impact? Apply today or visit www.abb.com to learn more about the impact of our solutions across the globe.

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• Bachelor's or Master's degree in Computer Science, Information Technology, Electronics, Software Engineering, or a related technical discipline.
• 10-15 years of experience in enterprise software development using .NET/.NET Core, C#, ASP.NET Core, REST APIs, and full-stack application development.
• Strong experience with Kubernetes/OpenShift, Docker, microservices, CI/CD pipelines, Git, cloud-native application development, and distributed system architectures.
• Knowledge of Industrial IoT, Edge Computing, industrial communication protocols (MQTT, AMQP, OPC-UA, Modbus), Linux environments, and event-driven architectures, with exposure to Azure or hybrid cloud
• Experience with AI-assisted development tools such as GitHub Copilot, Generative AI workflows, telemetry pipelines, observability platforms, and industrial automation solutions is considered an advant
• Strong understanding of software engineering fundamentals, including testing, debugging, performance optimization, secure software development, and high-availability application design.
• Excellent analytical, communication, collaboration, and problem-solving skills with the ability to work effectively in Agile teams, mentor junior engineers, and continuously adopt emerging technologie