ABB—Senior Software Engineer

Job description

Description: 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: Digital Solution Engineering Manager 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 systems, software, measurement, analytics, and lifecycle services. Our digital portfolio enables customers to improve operational excellence, reliability, sustainability, and digital transformation across industrial operations. Your role and responsibilities In this role, you will join ABB's Industrial Automation Digital Organization as a Senior Software Engineer – AI Platforms & Applications. You will contribute to the development of next-generation AI-enabled applications, cloud-native platforms, and intelligent automation solutions that power ABB's Industrial AI and Copilot ecosystem. Working closely with Architects, AI/ML Engineers, Product Management, Platform Engineering, and DevOps teams, you will design, develop, and deploy scalable software solutions that integrate AI capabilities, MLOps workflows, and modern cloud technologies to deliver innovative industrial digital products. This role is contributing to the 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 scalable AI-enabled applications, backend services, APIs, and cloud-native microservices using modern software engineering practices to deliver secure and high-performing enterprise solutions. - Develop and integrate AI/ML capabilities, MLOps pipelines, AutoML workflows, and intelligent automation services while supporting model deployment, monitoring, and lifecycle management across cloud platforms. - Collaborate with Architects, AI/ML Engineers, Product Management, DevOps, and Quality Engineering teams to deliver end-to-end software solutions, drive technical excellence, and ensure successful product releases. - Contribute across the complete software development lifecycle by implementing responsive user interfaces, optimizing application performance, ensuring software quality, and driving continuous improvements through Agile and DevOps practices. Qualifications for the role - Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, Data Science, or a related discipline. - 6–10 years of experience in software engineering with strong expertise in developing enterprise-grade, cloud-native applications using Python and modern software development practices. - Strong experience in frontend development using Angular, TypeScript, HTML, and CSS, along with backend development using REST APIs, microservices, and distributed application architectures. - Hands-on experience with Artificial Intelligence, Machine Learning integration, MLOps practices, Azure Machine Learning, AutoML workflows, and model lifecycle management. - Experience with Microsoft Azure, Kubernetes, Docker, CI/CD pipelines, DevOps practices, and cloud-native deployment models. - Good understanding of observability, monitoring, logging, telemetry, cybersecurity best practices, and secure software development for enterprise applications. - Strong analytical, problem-solving, communication, and collaboration skills with experience working in Agile, cross-functional, and globally distributed engineering teams. More about us ABB is a global technology leader in electrification and automation, helping industries become more productive, efficient, and sustainable. The Process Automation business automates, electrifies, and digitalizes some of the world's most complex industrial infrastructures, serving customers across energy, process, hybrid, marine, mining, chemicals, water, and manufacturing industries. The Digital Industry Analytics organization is driving ABB's next generation of Industrial AI, intelligent automation, and cloud-native software platforms by combining advanced analytics, machine learning, and domain expertise. At ABB, we foster an inclusive culture where collaboration, innovation, and continuous learning empower our people to create sustainable digital solutions that accelerate industrial transformation worldwide. 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. Recruitment Fraud Warning ABB never asks for payment from job applicants. All genuine job offers follow a formal application and interview process. View current job openings and apply at: https://careers.abb/global/en/home For more information, read our full fraud warning notice at: https://global.abb/group/en/careers/how-to-apply/fraud-warning Skills: python, azure, machine learning, microservices, rest apis, angular, typescript, html, css, mlops, automl, model deployment, model monitoring, model lifecycle management, kubernetes, docker, ci/cd pipelines, devops, observability, monitoring, logging, telemetry, cybersecurity best practices, secure software development, agile, cross-functional collaboration, analytical skills, problem solving