Senior 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:

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 offer a broad range of automation, electrification, and digital solutions for process, hybrid, and maritime industries, including industry-specific integrated control and software as well as measurement, analytics, and AI-driven solutions and services.

Your role and responsibilities

In this role, we are looking for experienced software professionals to join our Industrial Automation Digital Organization as Senior Software Engineers - Edge & AI Solutions. The role requires individuals with strong expertise in designing, developing, and deploying scalable Edge and Industrial IoT software platforms powering mission-critical industrial systems. You will work on modern distributed architectures, AI-assisted engineering workflows, cloud-edge integrations, and collaborate with globally distributed engineering teams to deliver secure, reliable, and high-performance software solutions aligned with ABB's industrial digitalization vision.

The work model for the role is: Hybrid

You will be mainly accountable for:

. Design, develop, test, and maintain enterprise-grade applications across front-end, back-end, and edge layers using .NET, C#, ASP.NET Core, and modern development frameworks.

. Develop scalable APIs, server-side components, and responsive, high-performance modules aligned with deployment architectures while contributing to software architecture decisions and technical design reviews.

. Develop and enhance Edge-based solutions for industrial automation, telemetry processing, and edge-to-cloud communication using protocols such as MQTT, AMQP, OPC-UA, Modbus, REST, and WebSockets.

. Implement telemetry ingestion pipelines, device management capabilities, real-time data processing solutions, and industrial data integrations, with exposure to historian systems and industrial data platforms being advantageous.

. Design and develop scalable microservices-based architectures and containerized applications using Docker and Kubernetes/OpenShift, ensuring resilience, observability, and high availability across distributed systems.

. Collaborate with architecture teams to implement scalable, maintainable, secure, and event-driven software solutions while supporting message-driven architectures.

. Utilize AI-assisted engineering tools such as GitHub Copilot, generative AI platforms, and intelligent automation frameworks to improve engineering productivity, software quality, and development efficiency.

. Integrate AI/ML capabilities into Edge and Industrial IoT applications where applicable and contribute to the evaluation of emerging AI technologies supporting industrial automation use cases.

. Implement and enhance CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, or similar platforms by integrating automated testing, code quality analysis, security scanning, and deployment automation practices.

. Ensure software reliability through continuous testing, observability, monitoring, performance validation, and collaboration with quality engineering teams to improve automation coverage and release quality.

. Support production deployments, troubleshooting activities, operational excellence initiatives, and cloud-edge deployment models while following secure software development practices.

. Contribute to system reliability, fault tolerance, cybersecurity compliance initiatives, and observability implementations using tools such as Prometheus, Grafana, ELK, or OpenTelemetry.

Qualifications for the role:

. 5-8 years of professional software engineering experience with strong expertise in enterprise-grade full stack application development.

. BE/BTech/ME/MTech in Computer Science, Information Technology, Electronics, or related engineering disciplines.

. Strong proficiency in .NET/.NET Core, C#, ASP.NET Core, and REST API development.

. Hands-on experience with Kubernetes/OpenShift, Docker, containerization technologies, microservices architecture, CI/CD pipelines, and Git-based development workflows.

. Good knowledge of industrial communication protocols such as MQTT, AMQP, OPC-UA, Modbus, HTTP/HTTPS, along with understanding of Edge computing architectures and event-driven systems.

. Experience working within Linux environments and exposure to cloud-native technologies and hybrid cloud-edge deployments.

. Additional experience with CrateDB, PostgreSQL, time-series databases, Azure Cloud, AWS, or hybrid cloud platforms will be advantageous.

. Exposure to AI/ML integration, GitHub Copilot, AI-assisted development workflows, and industrial automation domains is highly desirable.

. Strong analytical thinking, problem-solving capabilities, and troubleshooting skills across application, infrastructure, and deployment layers.

. Ability to collaborate effectively within global Agile teams, mentor junior engineers, and drive technical excellence through ownership and proactive execution.

. Demonstrated adaptability to evolving technologies and business needs, combined with a passion for innovation, automation, and continuous learning.

. Additional experience in telemetry pipelines, streaming platforms, distributed tracing, high-availability deployments, industrial cybersecurity standards, GenAI-assisted SDLC workflows, architecture discussions, technical roadmaps, and test automation frameworks is considered beneficial.

More about us

ABB is a leading global technology company that energizes the transformation of society and industry to achieve a more productive, sustainable future. The Process Automation (PA) business area automates, electrifies, and digitalizes some of the world's most complex industrial infrastructures. Through its divisions, it serves customers across energy, chemicals, mining, marine, water, manufacturing, and other industrial sectors.

At ABB, you will have the opportunity to work on large-scale industrial digital transformation initiatives, modern Edge and AI-powered platforms, cloud-native industrial systems, and advanced automation technologies that create meaningful impact across industries globally.

We value people from diverse backgrounds and foster an inclusive environment where innovation, collaboration, and continuous learning thrive.

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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