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Sr. Software Engineer - OT/IT Job

Date:  Jul 30, 2026
Job Requisition Id:  65741
Location: 

Hyderabad, TG, IN

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

  • Bachelor's 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 

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