Reporting Jobs in Chennai

Test Architect – Functional, Automation & Performance Testing

SACHA Engineering•

Bengaluru

+4 More

Other Locations4 cities

Mumbai

Pune

Chennai

Hyderabad

•full time

Job Summary We are seeking a highly skilled and experienced Test Architect to join our team. This role will focus on developing and implementing comprehensive testing strategies encompassing functional, automation, and performance testing. The ideal candidate will possess a strong understanding of quality engineering principles and a proven ability to design and execute effective testing frameworks. Key Responsibilities The Test Architect will be responsible for the design, implementation, and maintenance of testing strategies and frameworks. This includes defining quality gates, establishing metrics, and ensuring adherence to best practices. The role will also involve collaboration with cross-functional teams to ensure the delivery of high-quality software releases. Required Skills & Qualifications Test Strategy: Demonstrated ability to develop and execute comprehensive test strategies aligned with business objectives and project requirements. Quality Engineering Architecture: Expertise in designing and implementing quality engineering architectures that support scalable and reliable testing processes. Functional Testing: Proficient in functional testing methodologies to ensure software meets specified requirements. Regression Testing: Experience in designing and executing regression testing suites to identify and prevent regressions. Automation Testing: Strong skills in automation testing, including the ability to design, develop, and maintain automated test scripts. API Testing: Knowledge of API testing techniques to validate the functionality and performance of APIs. Integration Testing: Experience in integration testing to ensure seamless integration between different software components. Performance Testing: Expertise in performance testing methodologies to identify and address performance bottlenecks. Non-Functional Testing: Understanding of non-functional testing aspects, including security, usability, and reliability. CI/CD Integration: Experience integrating testing processes into CI/CD pipelines. Performance Engineering: Ability to apply performance engineering principles to optimize software performance. Quality Gates: Ability to define and implement quality gates to ensure release quality. Metrics & Reporting: Experience in defining and tracking key testing metrics and generating comprehensive reports. Best Practices: Deep understanding of software testing best practices. Automation Frameworks: Experience with various Automation Frameworks . Reusability & Maintainability: Ability to design test automation frameworks with a focus on reusability and maintainability. Service Virtualization: Knowledge of Service Virtualization techniques for creating realistic testing environments. AI-Assisted Testing: Familiarity with AI-Assisted Testing concepts and tools. QE Practices: Strong understanding of QE Practices . Defect Prevention: Ability to identify and implement strategies for defect prevention. Release Quality: Commitment to ensuring high-quality software releases. Analytical Skills: Strong analytical skills to analyze test results and identify root causes of defects. Problem-Solving Skills: Excellent problem-solving skills to effectively troubleshoot and resolve testing issues. Communication Skills: Effective communication skills to clearly and concisely communicate testing results and recommendations. Test Architect: Demonstrated experience and expertise as a Test Architect . Experience Required: 9 - 16 years of experience in software testing, with a focus on test architecture and design. This level of seniority requires a proven track record of leading testing initiatives and mentoring junior team members. What We Offer Salary: 30 LPA

Energy Management- Project Performance Engineer

RLE India Private Limited•

Pune

•full time

Key Responsibilities The responsibilities of this role will encompass a broad range of tasks related to vehicle performance and energy management, requiring a proactive and detail-oriented approach. Required Skills & Qualifications To be successful in this role, candidates must possess a strong foundation in automotive engineering principles and a proven ability to apply their skills to real-world challenges. The following skills and qualifications are essential: Education: A Bachelor’s/ master’s degree in the Mechanical or Automotive domain is required. Experience: 6 - 9 years of relevant experience are expected, demonstrating a senior level of expertise and the ability to lead and mentor others. Energy Management: Demonstrated expertise in energy management principles and their application to automotive systems. Vehicle Performance: A thorough understanding of vehicle performance characteristics and the ability to optimize performance through various engineering techniques. CO2 & Fuel Consumption: Knowledge of CO2 emissions and fuel consumption optimization strategies. Electric Range: Understanding of factors influencing electric range and methods for maximizing range in electric vehicles. Functional Synthesis: Ability to perform functional synthesis to integrate various vehicle systems effectively. Attribute Management: Experience in attribute management, ensuring vehicle attributes meet target specifications. Technical Scorecard: Proficiency in developing and utilizing technical scorecards to track progress and identify areas for improvement. DVP&R: Familiarity with the Design Verification and Planning (DVP&R) process. Homologation: Understanding of homologation requirements and procedures. Coast Down: Knowledge of coast-down testing and analysis. Emission Test Cycles: Experience with emission test cycles and their interpretation. Vehicle Simulation: Ability to utilize vehicle simulation tools for performance analysis and optimization. Powertrain: A strong understanding of powertrain systems and their impact on vehicle performance. Calibration: Experience in powertrain calibration techniques. Weights: Knowledge of vehicle weight management and its impact on performance. Benchmarking: Ability to conduct benchmarking studies to identify best practices and competitive advantages. Issue Tracking: Proficiency in issue tracking and resolution. Milestone Governance: Experience in milestone governance and project management. Management Reporting: Ability to prepare and present management reports. Microsoft Suite: Proficiency in Microsoft Suite , including PowerPoint , Excel (including Macros ), and Word . Power BI: Experience with Power BI for data visualization and analysis. AI Technology: Basic understanding of AI Technology and its potential applications in automotive engineering. Analytical Skills: Strong analytical skills with the ability to interpret data and draw meaningful conclusions. Problem-Solving Skills: Excellent problem-solving skills with a demonstrated ability to identify and resolve complex issues. Communication Skills: Exceptional communication skills, both written and verbal, with the ability to effectively communicate technical information to both technical and non-technical audiences. Leadership: Demonstrated leadership qualities with the ability to motivate and inspire others. Responsibility: A strong sense of responsibility and accountability. Networking: Ability to build and maintain strong professional networks. What We Offer We value our employees and offer a competitive compensation package. Salary:

Thermal performance Engineer

RLE India Private Limited•

Pune

•full time

Job Summary SENIOR EXECUTIVE - TARLE TECHNOLOGIES PRIVATE LIMITED is seeking a highly motivated and experienced professional to join our team. This role is within the Automotive industry and requires a strong background in mechanical or automotive engineering principles. We are looking for a candidate with a proven track record of success in managing and executing complex engineering projects. Key Responsibilities The Senior Executive will be responsible for overseeing and contributing to various aspects of project performance engineering, ensuring the successful delivery of projects within the Automotive domain. This includes coordinating efforts across multiple functional teams and providing regular reporting on project status and performance. Required Skills & Qualifications Education: A Bachelor’s or Master’s degree in the Mechanical or Automotive domain is required. Experience: A minimum of 8-12 years of relevant experience is expected. This seniority level requires a candidate capable of independent project management, mentoring junior engineers, and contributing to strategic decision-making. Project Performance Engineering: Demonstrated ability to analyze and improve project performance, identifying and implementing strategies to optimize efficiency and effectiveness. Functional Synthesis: Proficiency in synthesizing information from various functional areas to create a cohesive and integrated approach to problem-solving. Cross-Functional Coordination: Excellent ability to facilitate collaboration and communication across different teams and departments, ensuring alignment and shared goals. Validation Planning: Experience in developing and executing comprehensive validation plans to ensure product quality and reliability. Test-Data Synthesis: Ability to generate and analyze test data to identify potential issues and validate design solutions. Management Reporting: Strong skills in preparing and presenting clear and concise management reports on project status, risks, and performance. Aerothermal Validation: Knowledge and experience in validating aerothermal performance of automotive components and systems. HVAC Testing: Experience in conducting and analyzing HVAC (Heating, Ventilation, and Air Conditioning) testing for automotive applications. Thermal Performance: Understanding of thermal performance principles and their application to automotive design and testing. CAD Review: Ability to review and analyze CAD (Computer-Aided Design) models to identify potential design flaws or areas for improvement. CFD/1D Simulation Review: Experience in reviewing and interpreting results from Computational Fluid Dynamics (CFD) and 1D simulation models. DVP: Familiarity with Design Verification Plan (DVP) processes and methodologies. Vehicle Instrumentation: Knowledge of vehicle instrumentation systems and their role in data acquisition and analysis. Road Trip Testing: Experience in planning and executing road trip testing to evaluate vehicle performance under real-world conditions. Lab Testing: Proficiency in conducting and analyzing lab testing to evaluate component and system performance. Data Analysis: Strong analytical skills with the ability to interpret data and draw meaningful conclusions. Scorecard: Experience in developing and utilizing scorecards to track and measure project performance. PLM: Familiarity with Product Lifecycle Management ( PLM ) systems and their role in managing product data and processes. Microsoft Suite: Proficient in using Microsoft Suite applications, including PowerPoint , Excel (including Macro capabilities), and Word . Power BI: Experience using Power BI for data visualization and reporting. Analytical Skills: Demonstrated ability to analyze complex problems and develop effective solutions. Problem-Solving Skills: Strong problem-solving skills with the ability to identify root causes and implement corrective actions. Communication Skills: Excellent written and verbal communication skills with the ability to effectively communicate technical information to both technical and non-technical audiences. Leadership: Demonstrated leadership skills with the ability to motivate and inspire teams. Networking Abilities: Ability to build and maintain strong relationships with internal and external stakeholders. What We Offer Salary:

Artificial Intelligence Senior Associate

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a highly motivated and skilled Artificial Intelligence Senior Associate to join our growing team in India. This role is ideal for a candidate with a strong foundation in data science and a passion for leveraging AI/ML to solve complex business challenges within the Technology industry. Key Responsibilities The Artificial Intelligence Senior Associate will be responsible for a range of tasks related to the development, implementation, and maintenance of AI/ML solutions. This includes collaborating with cross-functional teams to identify opportunities for AI/ML applications, designing and building AI/ML models, and ensuring the scalability and reliability of these models in a production environment. The role requires a proactive approach to problem-solving and a commitment to continuous improvement. Required Skills & Qualifications AI/ML : A deep understanding of artificial intelligence and machine learning principles, including various algorithms and techniques for model building, training, and evaluation. Python : Proficiency in Python programming language for data manipulation, statistical analysis, and AI/ML model development. Google Cloud Platform (GCP) : Experience with GCP services, including Big Query , Dataproc , Data Fusion , and Cloud SQL , for data storage, processing, and analysis. Data/Analytics : Strong analytical skills with the ability to extract meaningful insights from large datasets and communicate findings effectively. Automation : Experience in automating data processing and AI/ML workflows to improve efficiency and reduce errors. Business Analysis : Ability to understand business requirements and translate them into technical specifications for AI/ML solutions. Business Transformation : A grasp of how AI/ML can be leveraged to drive business transformation and create competitive advantage. CI/CD : Familiarity with continuous integration and continuous delivery ( CI/CD ) practices for deploying and managing AI/ML models. ETL : Experience with extract, transform, load ( ETL ) processes for data integration and preparation. Jira : Proficiency in using Jira for project management and issue tracking. Data Flow : Understanding of data flow principles and techniques for designing efficient data pipelines. TERRAFORM : Experience with TERRAFORM for infrastructure as code. Tekton : Knowledge of Tekton for container-native CI/CD. AIRFLOW : Experience with AIRFLOW for orchestrating complex data workflows. Airflow PySpark : Ability to utilize Airflow with PySpark for large-scale data processing. POSTGRES : Familiarity with POSTGRES database. API : Understanding of API design and integration. GCP : Comprehensive knowledge of GCP ecosystem. Financial Reporting : Ability to apply AI/ML techniques to financial data and generate insightful reports. Leadership : Demonstrated leadership potential with the ability to guide and mentor junior team members. Strategic Communication : Excellent communication skills with the ability to present complex technical concepts to both technical and non-technical audiences. Communication Skills : Strong written and verbal communication skills. Analytical Skills : Exceptional analytical and problem-solving skills. Problem-Solving Skills : Ability to identify, analyze, and solve complex problems effectively. GitHub : Proficiency in using GitHub for version control and collaboration. Qualifications : A Bachelor's Degree and a Master's Degree are required. Experience Required : We are seeking candidates with 3-9 years of relevant experience in data science or a related field. This level of experience indicates a strong foundation in AI/ML principles and a proven ability to deliver impactful results. What We Offer Salary :

Power Platform Software Engineer

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a skilled Power Platform Software Engineer to join our IT / Technology team. This role will focus on leveraging the capabilities of the Power Platform to build and maintain robust, efficient, and scalable solutions. The ideal candidate will possess a strong foundation in software development principles and a passion for utilizing innovative technologies to solve complex business challenges. Key Responsibilities The Power Platform Software Engineer will be responsible for the full lifecycle of application development, from initial design and development to testing, deployment, and ongoing support. This includes collaborating with stakeholders to gather requirements, translating those requirements into functional solutions, and ensuring the quality and performance of the developed applications. Required Skills & Qualifications Education: A Bachelor's Degree is required. Experience: 6 years of experience in software development is expected. This level of experience indicates a proficiency in designing, developing, and implementing complex software solutions. Programming Languages: Demonstrated proficiency in Python is essential. Data Visualization & Business Intelligence: Expertise in Power BI for creating insightful reports and dashboards. Data Warehousing & Analytics: Experience with BigQuery for data analysis and querying. Artificial Intelligence: Familiarity with AI concepts and their application in business solutions. Power Platform Development: Strong skills in Power Apps for building custom applications, Power Automate for workflow automation, and Copilot Studio for creating intelligent chatbots. Microsoft Technologies: Proficiency in Microsoft Sharepoint for collaboration and document management, Microsoft Copilot for enhanced productivity, and AI Builder for incorporating AI capabilities into applications. Data Management: Experience with Microsoft Dataverse for data storage and management. API Integration: Ability to work with Microsoft Graph API and REST APIs for integrating with external systems. Cloud Computing: Solid understanding of Azure Services and GCP for cloud-based application deployment and management. Integration Technologies: Experience with Logic Apps and Azure Functions for building integrations and automating tasks. Data Management & Integration: Ability to perform Data Integration and Migration of data. Software Development Best Practices: Strong understanding of Reporting , Analytics , Testing , Quality Assurance , and UAT methodologies. Collaboration & Communication: Excellent Collaboration and Support skills for working effectively with cross-functional teams. Application Lifecycle Management: Experience in App Development , Modernization , and Optimization of existing applications. Workflow Automation: Ability to design and implement Workflow Automation solutions. What We Offer

Software Engineer (3) - Core Engineer 0

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a highly motivated and skilled Software Engineer to join our core engineering team. This role will be responsible for developing and maintaining core software components, leveraging a variety of technologies to deliver high-quality solutions. The ideal candidate will possess a strong foundation in software development principles and a passion for continuous learning. Key Responsibilities This role will focus on the development and maintenance of core software components, ensuring their reliability, scalability, and performance. Specific responsibilities will be defined based on project needs and evolving business requirements. Required Skills & Qualifications Education: A Bachelor's Degree is required. Programming Languages: Proficiency in Python is essential. Data Analytics & Business Intelligence: Experience with Power BI for data visualization and reporting, and BigQuery for data warehousing and analysis. Artificial Intelligence & Machine Learning: Familiarity with AI concepts and applications, including experience with Microsoft Copilot , Copilot Studio , and AI Builder . Microsoft Power Platform: Strong skills in Power Apps for low-code application development and Power Automate for Workflow Automation . Cloud Computing: Experience with GCP and Azure Services , including Azure Functions and Logic Apps . Data Management: Knowledge of Dataverse for data storage and management. API Integration: Ability to work with REST APIs and Microsoft Graph API for data integration and application connectivity. User Interface & Experience: Understanding of User Experience ( UX ) and UI design principles. Software Development Lifecycle: Experience with Testing , Quality Assurance , and UAT processes to ensure software quality. Collaboration & Communication: Excellent Collaboration and Support skills to work effectively within a team environment. Microsoft Ecosystem: Proficiency with Microsoft Sharepoint . Experience: 6 years of experience are required. This indicates a senior level of experience, with expectations of independent problem-solving, mentorship of junior team members, and contribution to architectural decisions. Work Mode: onsite

Technical Program & Project Management Senior Associate

SACHA Engineering•

Chennai

•full time

Job Summary We are seeking a Technical Program & Project Management Senior Associate to join our team in Chennai. This is a hybrid role within the IT / Technology industry. Key Responsibilities This role will focus on the successful delivery of technical programs and projects, ensuring alignment with business objectives and adherence to established governance and best practices. Required Skills & Qualifications Project Management: Demonstrated ability to plan, execute, and close projects, utilizing established methodologies and best practices. This includes defining project scope, developing detailed project plans, and managing project resources effectively. Info Sys Admin: Experience in administering and maintaining information systems, ensuring optimal performance and security. Network Architecture: Understanding of network architecture principles and the ability to design and implement robust and scalable network solutions. Infrastructure Architectures: Knowledge of various infrastructure architectures and the ability to design and implement solutions that meet business requirements. Program Manage: Ability to manage complex programs consisting of multiple related projects, ensuring alignment with strategic goals and delivering desired outcomes. Project Documentation: Proficiency in creating and maintaining comprehensive project documentation, including project plans, status reports, and lessons learned. Windows Servers: Experience with Windows Servers , including installation, configuration, and maintenance. LAN/WAN: Understanding of Local Area Networks ( LAN ) and Wide Area Networks ( WAN ) concepts and technologies. Network - Convergence Technology: Familiarity with Network convergence technologies and their application in modern network environments. Video/Voice: Knowledge of Video and Voice communication systems and their integration into network infrastructure. Cyber Security: Awareness of Cyber Security principles and best practices, and the ability to implement security measures to protect sensitive data and systems. Demand and Value Management: Ability to analyze and manage demand effectively, ensuring alignment with business value and strategic priorities. Program Governance: Understanding of program governance principles and the ability to establish and enforce governance frameworks. Reporting: Ability to generate clear and concise reports to communicate project status, risks, and issues to stakeholders. Integration Management: Experience in managing the integration of various systems and components, ensuring seamless interoperability. Stakeholder Relationship: Ability to build and maintain strong relationships with stakeholders at all levels of the organization. Financial Planning: Understanding of financial planning principles and the ability to develop and manage project budgets. Risk Management: Ability to identify, assess, and mitigate project risks effectively. Issue Resolution: Ability to resolve project issues promptly and effectively, minimizing impact on project timelines and deliverables. Project Management Tools: Proficiency in using Project Management Tools for planning, tracking, and reporting on project progress. Demand Management Tools: Experience using Demand Management Tools to forecast and manage demand effectively. Experience Required: 4 - 4 years of experience. This level of experience indicates a senior associate role, requiring a proven track record of successfully managing technical programs and projects. Expectation is for a self-sufficient individual capable of working with minimal supervision and mentoring junior team members. What We Offer Salary:

CAE Modeler

SACHA Engineering•

Chennai

•full time

Job Summary We are seeking an experienced CAE Modeler to join our team in Chennai. As a CAE Modeler, you will play a critical role in the design and development of automotive products, utilizing advanced computer-aided engineering (CAE) tools to simulate and analyze the behavior of complex systems. This is an excellent opportunity to work on challenging projects, collaborate with cross-functional teams, and contribute to the development of innovative solutions. The ideal candidate will have a strong foundation in mechanical engineering, materials science, and computer-aided design (CAD). You will be responsible for creating detailed CAE models, performing simulations, and analyzing results to inform design decisions. Your expertise in CAE tools, such as Autodesk Moldflow, ANSYS, Abaqus, Nastran, and HyperMesh, will be essential in driving the development of high-quality products. Key Responsibilities Create detailed CAE models for simulation and analysis of complex systems, including structural, thermal, and multi-physics problems. Perform simulations using Autodesk Moldflow, ANSYS, Abaqus, Nastran, and HyperMesh, and analyze results to inform design decisions. Develop and maintain CAE models, including meshing and CAD cleanup, to ensure accuracy and efficiency. Apply materials and process fundamentals to CAE modeling and simulation. Utilize Python scripting for CAE automation, reporting, and data visualization. Collaborate with cross-functional teams to integrate CAE results into the design and development process. Required Skills & Qualifications Bachelor's degree in Mechanical Engineering, Plastics, Automotive, Aerospace, Electrical & Electronics, or a related field. Master's degree (ME/MTech) in a relevant field, such as CAD/CAE, Design, Manufacturing, Computer Science, Artificial Intelligence/Machine Learning, or Electrical & Computer Engineering, is a plus. 2+ years of experience in CAE modeling and simulation, preferably in the automotive industry. Proficiency in Autodesk Moldflow, Structural CAE/FEA (ANSYS/Abaqus/Nastran/HyperMesh), meshing & CAD cleanup. Strong understanding of materials and process fundamentals. Experience with Python scripting for CAE automation, reporting, and data visualization. Knowledge of data visualization techniques and tools. What We Offer We offer a dynamic and collaborative work environment in Chennai, with opportunities for professional growth and development. As an onsite role, you will be working closely with our team to drive innovation and excellence in the automotive industry. job ID : CJ2025-45002 (0015)