Cost Jobs in Pune

Vehicle Synthesis Responsible / PROJECT RESPONSIBLE (PR)

RLE India Private Limited•

Pune

•full time

Job Summary We are seeking a highly motivated and experienced Vehicle Synthesis Responsible / PROJECT RESPONSIBLE (PR) to join our team within the Automotive industry. This role requires an onsite presence and will be pivotal in ensuring the successful synthesis and management of vehicle projects. Key Responsibilities The Vehicle Synthesis Responsible / PROJECT RESPONSIBLE (PR) will be responsible for overseeing and coordinating the synthesis of vehicle components and systems, ensuring alignment with project goals, quality standards, and cost targets. This includes managing the implementation of design changes, analyzing weight deviations, and incorporating lessons learned to continuously improve processes and outcomes. Required Skills & Qualifications Architecture: Demonstrated ability to understand and apply vehicle architecture principles to ensure cohesive system integration and optimal performance. Quality: A strong commitment to quality assurance and a proven track record of implementing quality control measures throughout the vehicle synthesis process. Cost: Experience in managing project costs effectively, identifying cost-saving opportunities, and ensuring adherence to budgetary constraints. Technical: Possessing a strong technical understanding of vehicle systems and components, enabling effective problem-solving and decision-making. Performance: Ability to analyze vehicle performance metrics and identify areas for improvement through design optimization and system integration. Standardization: Experience in developing and implementing standardization processes to ensure consistency and efficiency in vehicle synthesis. Innovation: A proactive approach to identifying and implementing innovative solutions to enhance vehicle design and performance. Benchmark: Ability to conduct benchmark studies and analyze competitor vehicles to identify best practices and areas for improvement. Timing: Excellent time management and organizational skills, with the ability to prioritize tasks and meet deadlines effectively. Design Changes: Experience in managing and implementing design changes, ensuring minimal disruption to project timelines and quality standards. Weight Deviations: Ability to analyze and address weight deviations, identifying root causes and implementing corrective actions. Lesson Learned: A commitment to documenting and sharing lessons learned to continuously improve processes and prevent future errors. Internal Control System: Familiarity with and adherence to internal control systems to ensure compliance and accountability. Experience Required: The ideal candidate will possess a minimum of 6 to 9 years of relevant experience in vehicle synthesis or a related field. This level of experience indicates a high degree of proficiency and the ability to lead and manage complex projects effectively. What We Offer Salary: (No salary information provided)

Google Cloud Engineer - SSE

SACHA Engineering•

Bengaluru

+4 More

Other Locations4 cities

Mumbai

Pune

Chennai

Hyderabad

•full time

Job Summary We are seeking a skilled and experienced Google Cloud Engineer - Site Support Engineer (SSE) to join our dynamic IT / Technology team. This is a hybrid role requiring a blend of on-site and remote work. The ideal candidate will possess a strong foundation in cloud technologies, particularly within the Google Cloud Platform , and a proven ability to design, implement, and maintain robust and scalable cloud solutions. Key Responsibilities The Google Cloud Engineer - SSE will be responsible for a range of tasks related to the design, implementation, and maintenance of our Google Cloud infrastructure. This includes ensuring high availability, implementing robust security measures, and proactively identifying and resolving potential issues. The role requires a strong focus on automation and continuous improvement to optimize our cloud environment. Required Skills & Qualifications Education: A Bachelor’s degree in computer science or a related field, or a higher degree, is required. Experience: A minimum of 6-9 years of relevant experience in cloud engineering or a related field is expected. This level of experience indicates a seasoned professional capable of independently managing complex cloud environments and mentoring junior team members. DevOps: Demonstrated proficiency in DevOps principles and practices, with a focus on automation, continuous integration, and continuous delivery. Google Kubernetes Engine (GKE): Extensive experience with GKE , including cluster configuration, scaling, and management. Infrastructure-as-Code: Strong understanding and practical experience with Infrastructure-as-Code methodologies and tools. Terraform: Expertise in using Terraform to provision and manage Google Cloud resources. Deployment Manager: Familiarity with Deployment Manager for automated deployment of Google Cloud applications and infrastructure. CI/CD: Proven ability to design and implement CI/CD pipelines using tools such as Cloud Build , Jenkins , and GitHub Actions . Kubernetes: Deep understanding of Kubernetes concepts, including Deployments , Services , and Ingress . Helm: Experience using Helm for package management and deployment of Kubernetes applications. Programming Languages: Proficiency in at least one or more of the following programming languages: Python , Bash , Go . GitOps: Knowledge of GitOps principles and experience with tools like ArgoCD . Cloud Governance: Understanding of Cloud Governance best practices and experience implementing policies and controls. Cost Management: Ability to monitor and optimize cloud costs. Compliance: Familiarity with compliance requirements and experience implementing security controls. Cloud Migration: Experience with Cloud Migration strategies and execution. System Reliability: A strong focus on System Reliability and the ability to design and implement highly available and resilient systems. High Availability & Redundancy: Experience designing and implementing High Availability and Redundancy solutions. Backup Strategies: Knowledge of effective Backup Strategies and implementation. Proactive Monitoring: Ability to implement Proactive Monitoring solutions to identify and resolve potential issues before they impact users. Process Efficiencies: A commitment to identifying and implementing Process Efficiencies to improve operational efficiency. Analytical Skills: Strong Analytical Skills to troubleshoot complex issues and identify root causes. Problem-Solving Skills: Excellent Problem-Solving Skills to effectively resolve technical challenges. Communication Skills: Exceptional Communication Skills to clearly and concisely communicate technical information to both technical and non-technical audiences. Relationship Building: Ability to build and maintain strong relationships with stakeholders across the organization. Planning & Prioritization: Strong Planning and Prioritization skills to manage multiple tasks and projects effectively. What We Offer Salary: ₹20,00,000 per annum.

Quality Data Analyst – Electrical Hardware Engineering, Warranty Analytics | KPI Automation | Design Assessment | AI Adoption

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a skilled and experienced Quality Data Analyst to join our team. This role will focus on leveraging data analysis and advanced techniques to support our Electrical Hardware Engineering, Warranty Analytics, KPI Automation, Design Assessment, and AI Adoption initiatives within the Automotive / Technology industry. The ideal candidate will possess a strong analytical background and a passion for driving data-driven decisions. Key Responsibilities This role will be responsible for a range of tasks including data analysis, visualization, and reporting to support quality initiatives. The candidate will be expected to identify trends, anomalies, and opportunities for improvement within warranty data, cost trends, and design performance. They will also be involved in the automation of KPI reporting and the implementation of AI -assisted analytics to enhance predictive quality and drive corrective action management . Required Skills & Qualifications Data Analysis: Demonstrated ability to extract, clean, and analyze large datasets to identify meaningful insights and trends. Data Visualization: Proficiency in creating compelling and informative data visualizations using tools such as Power BI and Excel Analytics to communicate complex information effectively. Dashboarding & KPI Reporting: Experience in designing and developing interactive dashboards and automated KPI reports to track key performance indicators and monitor quality metrics. Data Storytelling: Ability to translate data insights into clear and concise narratives that resonate with stakeholders and drive informed decision-making. SQL: Strong proficiency in SQL for data extraction, manipulation, and analysis. Python: Experience using Python for data analysis, scripting, and automation. Databricks: Familiarity with Databricks for data processing and analytics. Power Automate: Experience with Power Automate for workflow automation and data integration. Warranty Data Analytics: Expertise in analyzing warranty data to identify root causes of failures, predict future trends, and optimize product designs. Cost Trend Analysis: Ability to analyze cost trends to identify areas for cost reduction and process improvement. KPI Automation: Experience in automating KPI reporting and data collection processes. Multi-Source Data Integration: Ability to integrate data from multiple sources to create a comprehensive view of quality performance. AI-Assisted Analytics: Experience leveraging AI and Generative AI techniques to enhance data analysis and predictive modeling. Predictive Quality: Ability to apply statistical methods and machine learning algorithms to predict product quality and identify potential issues proactively. Anomaly Detection: Experience in identifying and investigating anomalies in data to uncover potential quality problems. Root Cause Analysis: Expertise in conducting root cause analysis to identify the underlying causes of quality issues. Corrective Action Management: Ability to develop and implement corrective action plans to address quality issues and prevent recurrence. DFMEA, DRBFM, APQP: Familiarity with DFMEA , DRBFM , and APQP methodologies for design and process improvement. Statistical Tools: Proficiency in using various statistical tools for data analysis and quality control. Structured Problem Solving: Ability to apply structured problem-solving techniques to identify and resolve quality issues. Process Optimization: Experience in identifying and implementing process optimization initiatives to improve quality and efficiency. Lean & Six Sigma: Knowledge of Lean and Six Sigma principles for continuous improvement. Quality Tools: Familiarity with various quality tools and techniques for data analysis and problem-solving. Issue Management: Ability to effectively manage and track quality issues to resolution. Warranty Management: Experience in managing warranty claims and analyzing warranty data. Field Quality Analysis: Ability to analyze field quality data to identify trends and patterns. Design Assessment: Ability to conduct design assessments to identify potential quality risks and improve product designs. Design Integrity: Understanding of design integrity principles and their impact on product quality. Design Robustness: Ability to evaluate and improve the design robustness of products. Lessons Learned Deployment: Ability to capture and deploy lessons learned from quality issues to prevent recurrence. Analytical Skills: Strong analytical skills with the ability to interpret data and draw meaningful conclusions. Problem-Solving Skills: Excellent problem-solving skills with the ability to identify and resolve complex quality issues. Data Interpretation Skills: Ability to accurately interpret data and translate it into actionable insights. Communication Skills: Excellent communication skills with the ability to effectively communicate technical information to both technical and non-technical audiences. Stakeholder Management: Ability to build and maintain relationships with key stakeholders . Leadership-Ready Presentation Skills: Ability to deliver compelling and persuasive presentations to senior management. Qualifications: Bachelor’s degree in Electrical Engineering, Electronics Engineering, Automotive Engineering, Data Analytics, Computer Science, or a related engineering discipline. What We Offer Experience Required: 5 - 10 years of relevant experience. Salary:

Google Cloud Engineer - SSE

SACHA Engineering•

Bengaluru

+3 More

Other Locations3 cities

Pune

Chennai

Hyderabad

•full time

Job Summary We are seeking a highly skilled and motivated Google Cloud Engineer - SSE to join our growing team. This is a hybrid role requiring a blend of hands-on technical expertise and collaborative teamwork. The ideal candidate will possess a strong foundation in cloud technologies, particularly within the Google Cloud Platform , and a proven ability to design, implement, and maintain robust and scalable cloud solutions. Key Responsibilities The Google Cloud Engineer - SSE will be responsible for a range of tasks related to the design, implementation, and maintenance of our Google Cloud infrastructure. This includes automating infrastructure provisioning, optimizing cloud resources for cost and performance, and ensuring the reliability and security of our cloud-based applications and services. Required Skills & Qualifications Education: A Bachelor’s degree in computer science or a related field, or a higher degree, is required. A minimum of 3 years of relevant experience is expected. Experience: 6 - 10 years of experience in a related field is required. This level of experience indicates a strong understanding of cloud technologies and a proven ability to work independently and as part of a team. DevOps: Demonstrated proficiency in DevOps principles and practices, with a focus on automation and continuous delivery. Google Kubernetes Engine (GKE): Extensive experience with GKE , including cluster configuration, deployment, and management. Infrastructure-as-Code: Strong understanding and practical experience with Infrastructure-as-Code methodologies and tools. Terraform: Expertise in using Terraform to provision and manage Google Cloud resources. Deployment Manager: Familiarity with Deployment Manager for automated deployment of Google Cloud resources. CI/CD: Deep understanding of CI/CD pipelines and experience with tools such as Cloud Build , Jenkins , and GitHub Actions . Kubernetes: Solid foundation in Kubernetes concepts, including Deployments , Services , and Autoscaling . Programming/Scripting: Proficiency in Python and Bash scripting for automation and system administration tasks. Version Control: Experience with GitOps principles and tools like ArgoCD and Helm . Cloud Governance: Knowledge of Cloud Governance best practices and experience implementing policies and controls. Cost Management: Ability to analyze and optimize Cloud costs, ensuring efficient resource utilization. Compliance: Understanding of Compliance requirements and experience implementing security measures to meet regulatory standards. Cloud Migration: Experience with Cloud Migration strategies and methodologies. System Reliability: Strong focus on System Reliability and experience designing and implementing highly available and resilient systems. High Availability & Redundancy: Expertise in designing for High Availability and Redundancy . Backup Strategies: Experience developing and implementing effective Backup Strategies . Proactive Monitoring: Ability to implement Proactive Monitoring solutions to identify and address potential issues before they impact users. Process Efficiencies: A commitment to identifying and implementing Process Efficiencies to improve operational effectiveness. Analytical Skills: Strong Analytical Skills for problem-solving and data-driven decision-making. Problem-Solving Skills: Excellent Problem-Solving Skills with the ability to troubleshoot complex technical issues. Communication Skills: Effective Communication Skills for collaborating with cross-functional teams and communicating technical concepts to both technical and non-technical audiences. Teamwork: Demonstrated ability to work effectively as part of a Teamwork environment. What We Offer Salary: ₹15 LPA - ₹20 LPA

DRE – SWITCHES

RLE India Private Limited•

Pune

•full time

Job Summary We are seeking a skilled and detail-oriented DRE – Switches professional to join our team in Pune. This role will focus on the development, validation, and integration of various switch modules for automotive applications. Key Responsibilities This role will be responsible for a wide range of switch-related activities, including but not limited to: Developing and defining switch circuit architectures. Performing voltage and current analysis to ensure optimal switch performance. Coordinating PCB interface and connector selection. Implementing ESD protection measures. Developing switch illumination strategies, including LED illumination and dimming. Coordinating with EMC/EMI teams to ensure compliance. Defining harness interfaces and coordinating with electrical engineering teams. Developing switch matrixes and integrating capacitive sensing capabilities. Performing short circuit and overload protection analysis. Integrating switches with electronic control units ( ECUs ). Defining diagnostic strategies for switch functionality. Integrating LIN slave modules. Managing switch illumination dimming strategies and power mode management. Ensuring technical feasibility and design robustness of switch solutions. Overseeing vehicle-level switch integration. Required Skills & Qualifications Bachelor's degree ( B.E. / B. Tech. / M. E / M. Tech ) in Electronics and Telecommunication, Mechanical, or Electronics & Electrical Engineering. Proficiency in Driver Switches , Passenger Switches , and Non-Ergonomic Switches . Strong understanding of EE Architecture and the ability to create and interpret Circuit Diagrams . Experience with CATIA and CAD Packaging for switch design and modeling. Familiarity with Engineering Change management processes. Knowledge of Homologation and Regulation Compliance requirements. Experience with Product Release cycles and Supplier Management . Ability to contribute to Weight Reduction and Cost Reduction initiatives. Experience with Validation processes and APQP methodologies. Familiarity with PLM systems. Knowledge of various switch types including HVAC/FATC control switches , Rotary Knobs , Capacitive Touch Panels , Push Buttons , and Haptic Feedback Mechanisms . Experience with Illumination Guides , Symbols , Decorative Bezels , and Trims . Familiarity with Steering Wheel Switches , Audio Control Switches , Cruise Control Switches , and ADAS Switches . Experience with Paddle Switches , Backlit Switch Modules , and Steering Wheel Mounted Controls . Understanding of Airbag Package Interface Coordination . Experience with Window Switches , Seat Switches , Sunroof Switches , and Hazard Switches . Familiarity with Console Switches , Roof Control Switches , and Ambient Control Switches . Ability to define Switch Circuit Architecture . Experience with LED Illumination Development . Ability to coordinate PCB Interface Coordination . Knowledge of Connector Selection and Terminal Selection . Experience with ESD Protection Implementation . Ability to perform Backlighting Development . Ability to coordinate EMC/EMI Requirement Coordination . Ability to define Harness Interface Definition . Ability to coordinate CAN/LIN Communication Coordination . Ability to develop Switch Matrix Development . Ability to integrate Capacitive Sensing Integration . Ability to perform Short Circuit Analysis and Overload Protection Analysis . Experience with Electronics Integration . Ability to work with ECU Teams . Ability to integrate HMI Signal Integration . Ability to define Diagnostic Strategy Definition . Ability to integrate LIN Slave Module Integration . Ability to define Switch Illumination Dimming Strategy . Ability to manage Power Mode Management , Wake-Up Strategy , and Sleep Mode Strategy . Ability to coordinate PCB Packaging Coordination . Ability to perform Vehicle Level Switch Integration . What We Offer

Core team Engineer – CLOSURE

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a skilled and experienced Core Team Engineer to join our team in Chennai. This role will focus on the design, development, and validation of closure systems for our automotive products. The ideal candidate will possess a strong understanding of mechanical engineering principles, design methodologies, and manufacturing processes. Key Responsibilities The Core Team Engineer will be responsible for a range of tasks related to closure systems, including design, analysis, validation, and continuous improvement. This role requires a proactive approach to problem-solving and a commitment to delivering high-quality results within a fast-paced environment. Required Skills & Qualifications Education: A Bachelor of Engineering (B.E.) / Bachelor of Technology (B. Tech.) / Master of Engineering (M. E) / Master of Technology (M. Tech.) degree in Mechanical or Automotive Engineering is required. Experience: 6-9 years of experience in automotive engineering, specifically related to closure systems, is expected. This level of experience indicates a proven ability to independently manage complex engineering tasks and contribute to team goals. Analytical Skills: Demonstrated ability to analyze complex engineering problems and develop effective solutions. This includes the ability to interpret data, identify trends, and draw logical conclusions. Problem-Solving Skills: A systematic and resourceful approach to problem-solving, 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. Closure Parts Design: Expertise in the design of closure parts, ensuring functionality, manufacturability, and compliance with industry standards. Closure Systems Design: Comprehensive knowledge of closure systems design, including mechanisms, sealing technologies, and integration with vehicle systems. Product Life Cycle Management: Familiarity with Product Life Cycle Management principles and practices, ensuring efficient management of product data and processes. Manufacturing Knowledge: A strong understanding of manufacturing processes, including die process and die tryouts, to ensure designs are feasible for production. MIS: Proficiency in MIS (Management Information Systems) for data analysis and reporting. QFS, QUI, TGW: Experience with QFS , QUI , and TGW tools and methodologies. DFMEA: Expertise in DFMEA (Design Failure Mode and Effects Analysis) to identify and mitigate potential design risks. CAD: Proficiency in CAD (Computer-Aided Design) software, including UG-Nx and CATIA . DVPR: Knowledge of DVPR (Design Verification Plan and Report) processes and requirements. Die Process: Understanding of Die Process principles and their impact on part quality and manufacturability. Die Tryouts: Experience with Die Tryouts to validate tooling and production processes. Weight Optimization: Ability to apply Weight Optimization techniques to minimize part weight without compromising performance or functionality. Cost Optimization: Experience in Cost Optimization strategies to reduce manufacturing costs while maintaining quality. Sheet Metal Design: Expertise in Sheet Metal Design principles and practices. Formability: Understanding of Formability considerations in sheet metal design. Mechanism: Strong understanding of mechanical Mechanism principles. Sealing: Knowledge of Sealing technologies and their application in closure systems. CDL Analysis: Ability to perform CDL (Crash Duration Limit) analysis to ensure safety performance. Kinematic Simulation: Proficiency in Kinematic Simulation to validate system functionality and performance. GD&T: Expertise in GD&T (Geometric Dimensioning and Tolerancing) principles. Benchmarking: Ability to conduct Benchmarking studies to identify best practices and competitive advantages. Tear Down Activities: Experience in Tear Down Activities to analyze competitor products and identify design insights. Regulatory Requirements: Knowledge of relevant Regulatory Requirements for automotive closure systems. Teamcenter: Experience with Teamcenter for product data management. What We Offer Salary:

Core team Engineer – CLOSURE

RLE India Private Limited•

Pune

•full time

Job Summary We are seeking a highly motivated and experienced Core Team Engineer to join our team. This role will be based onsite and will contribute to the design and development of closure systems within the automotive/manufacturing industry. Key Responsibilities The Core Team Engineer will be responsible for a range of tasks related to closure parts design, manufacturing, and quality assurance. This includes design optimization, problem-solving, and ensuring adherence to regulatory requirements. Required Skills & Qualifications Education: A B.E. / B. Tech. / M. E / M. Tech degree in Mechanical / Automotive engineering is required. Analytical Skills: Demonstrated ability to analyze complex problems and develop effective solutions. Problem-Solving Skills: Proven ability to identify, analyze, and resolve technical issues related to closure systems. Communication Skills: Excellent written and verbal communication skills to effectively collaborate with cross-functional teams. Closure Parts Design: Expertise in the design and development of closure parts, ensuring functionality, durability, and manufacturability. Closure Systems Design: Comprehensive understanding of closure systems design principles, including mechanisms, sealing, and kinematics. Product Life Cycle Management: Familiarity with Product Life Cycle Management principles and their application to automotive components. Manufacturing Knowledge: Solid understanding of manufacturing processes, including Die Process , Spot Welding , and Sheet Metal Design . MIS: Experience with MIS (Management Information Systems) for data analysis and reporting. QFS, QUI, TGW: Proficiency in utilizing QFS , QUI , and TGW for quality assurance and process control. Functional Science Knowledge: Strong foundation in Functional Science principles for understanding and optimizing system performance. DMU Analysis: Ability to perform DMU Analysis (Digital Mock-up) to identify and resolve design issues. DVPR: Knowledge of DVPR (Design Verification Plan and Report) processes and requirements. DFMEA: Experience with DFMEA (Design Failure Mode and Effects Analysis) for risk assessment and mitigation. Design for Manufacturing: Expertise in Design for Manufacturing principles to ensure efficient and cost-effective production. Weight Optimization: Ability to apply Weight Optimization techniques to minimize component weight without compromising performance. Cost Optimization: Experience in Cost Optimization strategies to reduce manufacturing costs. Sheet Metal Design Aspects: Thorough understanding of Sheet Metal Design principles and best practices. Formability: Knowledge of Formability considerations in sheet metal design. Mechanism: Strong understanding of mechanical Mechanism principles. Sealing: Expertise in Sealing technologies and their application to automotive closure systems. CDL Analysis: Ability to perform CDL Analysis (Crash Duration Limit) to ensure safety performance. Kinematic Simulation: Proficiency in Kinematic Simulation tools for analyzing system motion and performance. GD&T: Knowledge of GD&T (Geometric Dimensioning and Tolerancing) principles. Sheet Materials: Familiarity with various Sheet Materials and their properties. Sheet Metal Welding Process: Understanding of Sheet Metal Welding Process . Benchmarking: Ability to conduct Benchmarking studies to identify best practices and competitive advantages. Tear Down Activities: Experience in performing Tear Down Activities to analyze competitor products. Regulatory Requirements: Knowledge of relevant Regulatory Requirements for automotive components. Teamcenter: Proficiency in using Teamcenter for data management and collaboration. Costing: Ability to perform Costing analysis for component design and manufacturing. Testing: Experience in designing and executing Testing plans to validate component performance. Welding Fixture Design: Ability to design Welding Fixture . Gun Access Study: Ability to perform Gun Access Study . Painting: Knowledge of Painting process. Vendor Development: Experience in Vendor Development . SCMP: Knowledge of SCMP (Supply Chain Management Process). Panel Defect Identification: Ability to perform Panel Defect Identification . Correction: Ability to perform Correction . Experience Required: The ideal candidate will have 6 - 9 years of relevant experience in a similar role within the automotive or manufacturing industry. This level of experience indicates a strong foundation in closure systems design and a proven ability to solve complex technical challenges. What We Offer Salary: