JOB PURPOSE Quality Assurance engineer will be responsible to write and execute manual and automated tests for ensuring product quality & will be designing and implementing tests, debug and making corrective actions. Candidate will be leading the activity in the domain. PRINCIPAL ACCOUNTABILITIES – Creating and designing application and software testing processes Monitor system and software functionality Develop and maintain automated test scripts for embedded systems Automated testing and problem-solving of various tasks that work towards a development process Advise best practices and optimizations throughout testing and bug-fixing processes Collaborate with software QA leads to develop test plans and new approaches for seeking out bugs and exploits in end-user-facing applications Establish and implement rigorous reporting and automated monitoring systems Manage multiple projects within design specifications and budget restrictions Keep track of quality metrics Verify that the final product meets the requirement Analyze product features and suggest changes to enhance them to make them more efficient and user friendly Implement feedback and changes whenever possible Identify, document, and track defects found during testing Provide technical support to customers for software products SKILLS AND KNOWLEDGE Strong understanding of software development life cycle and software testing methodologies Experience with test planning, test case development, test automation, and defect tracking Proficiency in at least one programming language such as C, C++ and Python scripting Experience with test automation tools for software quality assurance Familiarity with agile development methodologies and experience working in an agile environment Experience working in Linux environment is more advantage Educational Qualifications and Experience Bachelor’s degree in computer science, Electronics and communications or a related field. At least 5+ years of experience in software quality assurance or software testing. Experience with performance testing, security testing, and/or accessibility testing Show more Show less

Job Summary We are seeking an experienced SAP Application Lead with more than 15 years of relevant expertise in SAP S/4HANA delivery. The ideal candidate should have a comprehensive understanding of all SAP modules, strong integration knowledge, and experience in managing cross-functional teams. The role requires expertise in the latest SAP technologies, ensuring efficient implementation and support for enterprise-wide SAP applications. Key Responsibilities Lead SAP S/4HANA implementation and delivery, ensuring successful execution of projects. Provide technical and functional leadership across all SAP modules, including FI, CO, MM, SD, PP, QM, WM, TRM and Group Reporting. Oversee end-to-end system integration between SAP and other enterprise applications. Stay up to date with the latest SAP technologies, including SAP BTP, AI, automation, cloud solutions, and best practices. Drive innovation by adopting new methodologies, tools, and frameworks to enhance SAP application efficiency. Work closely with business stakeholders to understand requirements and align SAP solutions accordingly. Lead cross-functional teams consisting of SAP consultants, developers, and business analysts. Ensure quality assurance, risk management, and performance optimization in SAP projects. Develop and implement SAP governance models to improve efficiency and compliance. Collaborate with third-party vendors and system integrators for smooth project execution. Required Skills & Qualifications 15+ years of hands-on experience in SAP S/4HANA implementation and delivery. Deep understanding of SAP modules and integration strategies across business processes. Strong expertise in SAP Fiori, BTP, cloud solutions, and automation tools. Experience in handling cross-functional teams and managing SAP transformation programs. Excellent problem-solving, leadership, and stakeholder management skills. Strong understanding of SAP security, data governance, and compliance. Hands-on experience with SAP Activate methodology and Agile project management. Ability to lead end-to-end SAP upgrades, migrations, and support projects. Knowledge of emerging technologies like AI/ML in SAP, RPA, and IoT integration is a plus. Strong communication, analytical, and decision-making skills. Education & Certifications Bachelors or Masters degree in Computer Science, Information Technology, or related field. SAP S/4HANA certifications are highly preferred. Project Management certifications (PMP, PRINCE2, Agile) are a plus.,

CAE (Computer-Aided Engineering) Engineer specializing in Unmanned Aerial Vehicles (UAVs) to join our dynamic team. The candidate to have a strong background in engineering simulation analysis on strong focus on UAV system. The candidate to play a crucial role in preparing reports for simulations performed for development, testing and optimization of UAV components and system so that they meet the rigorous performance, safety, and reliability standards. 1. Simulation and Analysis :- Conduct Structural finite element analysis (FEA), to predict and improve the performance of UAV components and systems using FE software 2. Analyse load bearing elements for strength and suggest modifications based on analysis carried out. 3. Collaborate with design and engineering teams to optimize the UAV structures and systems for strength , weight , efficiency and manufacturability. 4. Generate reports and technical documentation, including design modifications and recommendations to communicate design concepts and findings effectively 5. Support prototype assembly, testing, and validation activities, and iterate designs based on test results and feedback 6. Work closely with suppliers and manufacturing partners to transition designs into production, ensuring quality and manufacturability 7. Conduct and participate in design reviews, providing technical expertise and recommendations to improve design integrity and performance. 8. Maintain comprehensive records of simulation models, results, and revisions.

The position requires highly skilled engineers who will focus on the establishment of GNSS based navigation system for predefined path. The candidate to work on developing the system which will continue working under GNSS denied condition . RTK is an enhancement of GNSS that provide highly accurate information by correcting GNSS signals in real time. The candidate will work on development of RTK technologies for GNSS and NavIC system. Configure and calibrate of navigation modules (GNSS, gyroscopes etc.) with the flight controller and further analysis of flight data to ensure accuracy and reliability. Review on different types of available options to continue navigation operations under GNSS denied condition. Development of an algorithm for position estimation of the UAV under such condition and testing the reliability of these options. Set up, configure, and maintain GNSS and RTK systems for UAV operations & ensure proper calibration and synchronization of GNSS receivers and RTK base stations. Troubleshoot and resolve issues related to GNSS signal quality and RTK data accuracy. Integrate GNSS and RTK systems with UAV platforms to enhance positioning accuracy and data collection capabilities. Conduct pre-flight checks and calibrations to verify the correct operation of GNSS and RTK systems

The company is looking for a Condition Monitoring Engineer to collaborate with a multidisciplinary team to design, develop, and deploy self-diagnostic tools for industrial equipment. The role involves leveraging expertise in statistics, machine learning, and vibration analysis to analyze large datasets and derive actionable insights on equipment health and performance. The engineer will develop and implement algorithms for fault and anomaly detection using both historical and real-time sensor data, integrating these algorithms into software applications or embedded systems for real-time monitoring. Participation in field trials and deployments will be essential to validate tool performance and refine systems based on field feedback. Collaborate with a multidisciplinary team of engineers and researchers to design, develop, and deploy self-diagnostics tools for industrial equipment. Utilize expertise in statistics, machine learning, and vibration analysis to analyze large datasets and extract actionable insights related to equipment health and performance. Develop algorithms and models for fault detection and anomaly detection using historical and real-time sensor data. Implement diagnostic algorithms into software applications or embedded systems for real-time monitoring and decision support. Participate in field trials and deployments, working closely with field engineers to validate tool performance and gather feedback for continuous improvement.