Associate Principal Software Engineer at ABB · Bengaluru

Associate Principal Software Engineer Location: Bangalore, Karnataka, India 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: R&D Team 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 and software as well as measurement and analytics solutions and services. Your role and responsibilities In this role, you will have the opportunity to initiate and drive technology, software, product, and/or solution development using in-depth technical expertise in a specific area. Each day, you will act as the first point of contact in Research and Development (R&D) for in-depth product or technology-related issues. You will also showcase your expertise by supporting strategic corporate technology management and future product/software/solution architecture. The work model for the role is: Hybrid This role is contributing to the R&D Software Product Development in the Automation Business Area, Energy Industries in the Bangalore location and will be reporting to the R&D Team Manager. Main stakeholders are the Product Managers, Engineering teams and Test teams. You will be mainly accountable for: Investing efforts into expanding competence portfolio beyond the area of specialization, assimilating developments in complementary technologies, tools, and methodologies, and integrating learnings into daily activities. Design, develop, maintain, and enhance SCADAvantage or other software components and product features using modern full-stack development technologies. Take end-to-end ownership of product features from requirements analysis through architecture, implementation, testing, deployment, maintenance, and customer support. Develop responsive and intuitive user interfaces using Angular and modern web technologies while ensuring seamless integration with backend services and industrial data sources. Design and implement high-performance backend services, APIs, real-time communication solutions, and database services. Develop and maintain industrial communication interfaces supporting OPC UA, IEC 104, DNP3, Modbus, MQTT, and related protocols. Build scalable, reliable, and maintainable software solutions for mission-critical SCADA and industrial automation applications. Provide technical leadership for major product features, technology initiatives, and engineering projects with significant business and customer impact. Participate in software architecture, technical design reviews, technology roadmap discussions, and engineering decision-making processes. Lead technical investigations and resolve complex product and customer issues through structured root-cause analysis and systematic problem-solving techniques. Proactively identify and mitigate technical, architectural, cybersecurity, reliability, performance, and quality risks throughout the software development lifecycle. Drive software quality through code reviews, automated testing, static analysis, continuous integration, engineering best practices, and preventive quality improvement initiatives. Collaborate with Product Management, Architects, Quality Assurance, DevOps, and global R&D teams to deliver customer-focused software solutions. Mentor junior engineers, promote technical excellence, and actively share knowledge across teams and communities of practice. Continuously expand technical expertise beyond core specialization by adopting emerging technologies, engineering methodologies, modern development tools, AI-enabled engineering practices, and complementary domain knowledge relevant to industrial automation and SCADA solutions. Contribute to innovation initiatives, invention disclosures, intellectual property development, patent generation, and technology advancement activities. Monitor industry trends, relevant standards, emerging technologies, and competitor innovations to identify opportunities for differentiation, technology leadership, and strategic IP development. Support cybersecurity, redundancy, failover, disaster recovery, reliability, and maintainability requirements of industrial software systems. Leverage AI-assisted engineering tools to accelerate software design, coding, debugging, testing, code reviews, technical documentation, and knowledge management while maintaining high standards of quality, security, and maintainability. Identify and drive opportunities to improve engineering productivity through AI-powered development, testing, automation, and software lifecycle optimization. Evaluate, adopt, and promote emerging AI, Generative AI, and Agentic AI technologies that enhance developer productivity, product innovation, software quality, and customer value. Participate actively in Agile (Scrum/Kanban) ceremonies and drive continuous improvement initiatives across the software development lifecycle. Qualifications for the role Bachelor’s or Master’s degree in Computer Science, Software Engineering, Electronics, Instrumentation, or a related engineering discipline with core software development experience. 12– 18 years of professional software development experience. Minimum 5+ years of experience developing SCADA, Industrial Automation, or mission-critical real-time software systems. Full-stack software development using C++, C#, .NET Core, ASP.NET Web APIs, Entity Framework, Angular, TypeScript, RxJS, and NgRx. Design and development of scalable enterprise applications across frontend, backend, database, and deployment layers. Multithreaded, distributed, and performance-critical software development. SQL Server, PostgreSQL, Polyhedra DBMS, database design, optimization, and performance tuning. SCADA systems, Industrial Automation, Real-Time Monitoring and Control Systems. OPC UA, OPC DA, OPC HDA, IEC 60870-5-104, DNP3, Modbus, MQTT, and other industrial communication protocols. REST APIs, Web Services, real-time communication frameworks, and distributed system architectures. Software design patterns, SOLID principles, object-oriented design, and secure coding practices. Agile software development, Azure DevOps, CI/CD, automated testing, and code quality practices. OT Cybersecurity and IEC 62443 concepts. Troubleshooting, debugging, root-cause analysis, and system performance optimization. Experience using AI-assisted software engineering tools such as GitHub Copilot, Microsoft Copilot, ChatGPT, intelligent code analysis, automated testing, code review, documentation generation, and developer productivity tools to improve software quality and engineering efficiency. Docker, Kubernetes, and containerized application deployment. Azure or AWS cloud technologies. Microservices, event-driven architectures, and scalable distributed systems. Experience with SCADAvantage architecture, RTRDB, Historian, Alarm & Event Management, Redundancy, Failover, and Disaster Recovery solutions. Energy, Pipeline, Utility, Power, Water, or Process Automation domain knowledge. Experience applying Generative AI and Agentic AI concepts within software development, testing, engineering productivity, and intelligent system development. Contributions to patents, invention disclosures, technical publications, or innovation programs. More about us The Energy Industries Division serves a wide range of industrial sectors, including hydrocarbons, chemicals, pharmaceuticals, power generation and water. With its integrated solutions that automate, digitalize and electrify operations, the Division is committed to supporting traditional industries in their effort's to decarbonize. The Division also supports the development, integration and scaling up of new and renewable energy models. The Division’s objective is to support customers as they adjust and flourish amid the rapid global energy transition. Using data analytics alongside machine learning and artificial intelligence (AI), the Division combines over five decades of industry experience to create solutions that enhance energy and production efficiency, cut risk and costs, and minimize waste across the entire plant lifecycle from start-up onward. 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