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Sr. Software Engineer - OT/IT

Yash Technologies · Hyderabad, Telangana, India

5–12 yrs experiencefull_timePosted 2 days ago
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Job description

**:** **Experience required:** 5-12 years **Key Responsibilities** - Industrial Control Systems Design: Develop and maintain industrial control systems and OT solutions adhering to GAMP 5 guidelines, including comprehensive technical specifications and validation support documentation that ensure GxP compliance for biopharmaceutical R&D environments. - PLC & SCADA/HMI Development: Design and implement advanced PLC programming using structured programming languages (STL/FBD/Ladder) and develop sophisticated SCADA/HMI applications that optimize operator interaction and process monitoring. - Data Exchange & Protocol Implementation: Implement secure and reliable data exchange solutions utilizing industry-standard communication protocols (OPC DA/UA, MODBUS, Ethernet/IP, Profinet) to enable real-time system integration and interoperability. - Hardware Commissioning & Troubleshooting: Commission physical hardware components, configure PLC and I/O systems, establish communication protocols, and resolve technical issues to ensure reliable system performance. - Solution Demonstrations & Documentation: Present technical solutions and proof-of-concept implementations to stakeholders; create clear, comprehensive technical documentation that supports validation and compliance requirements. - Cross-functional Collaboration: Partner with product owners, solution architects, and global stakeholders to translate business requirements into technical solutions; participate actively in Agile/Nexus framework ceremonies and practices. Required Qualifications Education - Bachelors degree in Engineering, Instrumentation & Control, Electronics, Electrical , Automation, or a related technical field Experience - 7+ years of hands-on experience developing Industrial Control Systems and OT technologies in production or R&D environments - Proven track record in PLC programming and SCADA/HMI development specifically within R&D or laboratory automation contexts - Demonstrated expertise in commissioning and troubleshooting physical automation systems Technical Skills - Expert proficiency in structured programming (STL/FBD/Ladder) and object-oriented programming principles - Advanced expertise with at least one industrial PLC development platform: Siemens TIA Portal, CODESYS, or Rockwell Studio - Strong experience with SCADA/HMI platforms: Siemens WinCC, FactoryTalk View, Ignition, or iFix - Hands-on knowledge of industrial communication protocols: OPC DA/UA, MODBUS, Ethernet/IP, and Profinet - Practical experience with Distributed Control Systems (DCS) solutions such as Delta-V or Siemens PCS - Working knowledge of MS SQL Server and . NET framework - Demonstrated ability to design intuitive user interfaces and create rapid prototypes - Strong understanding of electrical drawings, P&ID (Piping & Instrumentation Diagrams), and I/O lists for system design and integration - Ability to interpret and work with engineering documentation including electrical schematics, instrumentation diagrams, and control logic specifications Preferred Qualifications - Strong hands-on experience with Siemens TIA Portal and Siemens WinCC - Practical experience implementing Module Type Package (MTP) standards - Experience developing RESTful APIs and WebSocket solutions for industrial applications - Familiarity with automated testing frameworks and version control systems (GitHub) - Knowledge of Infrastructure as Code tools: Terraform or Ansible - Experience with CI/CD pipelines optimized for industrial automation systems - Hands-on experience with virtualization technologies: Docker and containerization - Experience with enterprise monitoring and logging tools such as Prometheus - Familiarity with RabbitMQ, Java, or other modern backend technologies - Knowledge of ISA-88, ISA-95, or ISA-99 standards - Understanding of GAMP 5, FDA guidelines, and regulated software development lifecycle practices - Proven experience working in Agile methodologies and Nexus framework environments - Exposure to AI/ML solutions and ability to incorporate them into SDLC workflows