Cursor Jobs

Senior Executive - SDET

RLE India Private Limited•

Pune

•full time

Job Summary We are seeking a highly skilled and experienced Senior Executive - SDET to join our team in Pune. This role is critical to ensuring the quality and reliability of our software applications, particularly within the rapidly evolving landscape of AI and automotive technologies. The ideal candidate will possess a strong analytical background, a proven ability to troubleshoot complex issues, and a passion for leveraging automation to deliver high-quality software. Key Responsibilities The Senior Executive - SDET will be responsible for a range of activities related to software testing, analysis, and quality assurance. This includes, but is not limited to, the design and execution of test plans, the identification and resolution of defects, and the continuous improvement of our testing processes. The role requires a proactive approach to problem-solving and a commitment to delivering exceptional quality. Required Skills & Qualifications Data Analysis: Demonstrated ability to analyze large datasets to identify trends, patterns, and anomalies that may impact software quality. Decision Making: Proven ability to make sound, data-driven decisions in a fast-paced environment. Scripting Language: Proficiency in scripting languages for test automation and data manipulation. Python: Strong working knowledge of Python for scripting and automation tasks. TypeScript: Experience with TypeScript for developing robust and maintainable test scripts. Logging Tool: Familiarity with various Logging Tool to analyze application behavior and identify potential issues. Issue Debug Tool: Expertise in using Issue Debug Tool to effectively diagnose and resolve software defects. Log: Ability to interpret and analyze Log files to identify root causes of issues. Software Application Diagnostic: Skilled in performing Software Application Diagnostic to pinpoint the source of errors. Software Application Analysis: Ability to conduct thorough Software Application Analysis to ensure functionality and performance. Linux Basics: Solid understanding of Linux Basics for navigating and troubleshooting environments. Vi Editor: Proficiency in using the Vi Editor for efficient code and configuration file editing. Spreadsheet: Ability to utilize Spreadsheet software for data organization and analysis. Google Docs: Comfortable using Google Docs for collaboration and documentation. Report Generation: Ability to generate comprehensive Report Generation to communicate testing results. Report Tracing: Skilled in Report Tracing to understand the flow of data and identify potential issues. Cellular Network LTE: Understanding of Cellular Network LTE protocols and their impact on software functionality. P - CSCF, I -CSCF: Knowledge of P - CSCF and I -CSCF within the context of telecommunications infrastructure. IP Networking: Strong foundation in IP Networking concepts and protocols. DHCP, DNS, Gateway, Proxy: Familiarity with DHCP , DNS , Gateway , and Proxy technologies. AI IDE: Experience with AI IDE for developing and testing AI-powered applications. AI Framework: Knowledge of various AI Framework for building and deploying machine learning models. Cursor, Claude Code: Experience with Cursor and Claude Code for AI-assisted coding and development. Tight Deadlines: Ability to thrive under Tight Deadlines and deliver results efficiently. On Time Delivery: Commitment to On Time Delivery of high-quality software. Communication Skill: Excellent Communication Skill for effectively collaborating with cross-functional teams. New Technology: Eagerness to learn and adapt to New Technology . Domain Knowledge: Strong Domain Knowledge in relevant areas such as telematics, infotainment, and embedded software. Test Framework: Proficiency in using various Test Framework for automated testing. Automation: Expertise in Automation to streamline testing processes and improve efficiency. Quality Assurance: Deep understanding of Quality Assurance principles and best practices. Validation, Verification: Ability to perform both Validation and Verification testing to ensure software meets requirements. AI, Machine Learning, Gen AI: Solid understanding of AI , Machine Learning , and Gen AI concepts. Prompt Engineering: Experience with Prompt Engineering to optimize the performance of AI models. Telematics, Infotainment, Embedded Software: Experience in testing Telematics , Infotainment , and Embedded Software systems. Automation Framework: Experience with Automation Framework for building and maintaining automated test suites. Dev: Understanding of the Dev cycle and its impact on testing. GPS, LIDAR, RADAR, V2X, ADAS: Familiarity with GPS , LIDAR , RADAR , V2X , and ADAS technologies. AI Algorithms: Knowledge of various AI Algorithms and their application in software development. Component, Modules: Ability to test individual Component and Modules within a larger software system. Experience Required: The ideal candidate will have 4 - 6 years of experience in a similar role, demonstrating a track record of success in delivering high-quality software through rigorous testing and automation. What We Offer Salary:

Software Engineer_SDET

RLE India Private Limited•

Pune

•Full-time

Software Engineer_SDET Job Description Job Summary We are seeking a skilled Software Engineer_SDET to join our team in Pune. This role will focus on ensuring the quality and reliability of our software applications through rigorous testing and automation. The ideal candidate will possess a strong analytical background and a passion for delivering high-quality software. Key Responsibilities This role requires a proactive approach to software quality assurance, encompassing validation, verification, and continuous improvement of our development processes. The Software Engineer_SDET will be responsible for identifying and resolving software defects, contributing to the development of automated test suites, and collaborating closely with development teams to ensure the delivery of robust and reliable software. Required Skills & Qualifications Data Analysis: Ability to analyze complex data sets to identify trends, patterns, and anomalies that may impact software quality. Decision Making: Demonstrated ability to make sound judgments and decisions based on data and analysis, ensuring the best course of action for software quality. Scripting Language: Proficiency in scripting languages for test automation and data manipulation. Python: Strong understanding and practical experience with Python for scripting and automation tasks. Type Script: Familiarity with Type Script for enhanced code quality and maintainability. Logging Tool: Experience utilizing Logging Tool to effectively monitor and analyze application behavior. Issue Debug Tool: Proficiency in using Issue Debug Tool to identify and resolve software defects efficiently. Log: Ability to analyze and interpret Log files to diagnose and resolve software issues. Software Application Diagnostic: Expertise in performing Software Application Diagnostic to identify root causes of software failures. Software Application Analysis: Ability to conduct thorough Software Application Analysis to assess functionality and performance. Linux Basics: Fundamental understanding of Linux operating system principles. Linux Commands: Proficiency in utilizing common Linux Commands for system administration and software development tasks. Vi Editor: Experience with the Vi Editor for efficient code editing and manipulation. Spreadsheet: Ability to utilize Spreadsheet software for data analysis and reporting. Google Docs: Familiarity with Google Docs for collaborative documentation and communication. Report Generation: Ability to generate comprehensive Report documents to communicate findings and recommendations. Report Tracing: Skill in performing Report Tracing to understand data flow and identify potential issues. Cellular Network LTE: Understanding of Cellular Network LTE protocols and technologies. P-CSCF: Knowledge of P-CSCF functionality within a cellular network architecture. I-CSCF: Understanding of I-CSCF role in inter-carrier communication. IP Networking: Solid foundation in IP Networking principles and protocols. DHCP: Familiarity with DHCP for dynamic IP address assignment. DNS: Understanding of DNS for domain name resolution. Gateway: Knowledge of Gateway functionality for network traffic management. Proxy: Understanding of Proxy servers and their role in network security and performance. AI IDE: Experience with AI IDE for enhanced code completion and assistance. Framework: Ability to work within established Framework structures for software development. Cursor: Understanding of Cursor functionality within software applications. Claude Code: Experience with Claude Code for code generation and analysis. Test Framework: Proficiency in utilizing various Test Framework for automated testing. Automation: Strong skills in Automation to streamline testing processes. Quality Assurance: Commitment to Quality Assurance best practices. Validation: Ability to perform Validation testing to ensure software meets requirements. Verification: Ability to perform Verification testing to confirm software functionality. AI: Understanding of AI principles and applications. Machine Learning: Familiarity with Machine Learning algorithms and techniques. Gen AI: Knowledge of Gen AI concepts and applications. Prompt Engineering: Ability to craft effective Prompt Engineering for AI models. Telematics: Understanding of Telematics systems and data. Infotainment: Knowledge of Infotainment systems and their integration. Embedded Software: Experience with Embedded Software development. Automation Framework: Ability to design and implement Automation Framework . Dev: Understanding of the Dev cycle and its integration with testing. GPS: Familiarity with GPS technology and its applications. LIDAR: Understanding of LIDAR technology and its applications. RADAR: Knowledge of RADAR technology and its applications. V2X: Understanding of V2X communication protocols. ADAS: Familiarity with ADAS systems and their functionality. AI Algorithms: Knowledge of various AI Algorithms . Component: Ability to work with individual Component within a larger system. Modules: Understanding of Modules and their interdependencies. Communication Skill: Excellent Communication Skill for effective collaboration. New Technology: Eagerness to learn and adapt to New Technology . Domain Knowledge: Strong Domain Knowledge in relevant areas. On Time Delivery: Demonstrated ability to meet On Time Delivery targets. Tight Deadlines: Ability to work effectively under Tight Deadlines . What We Offer Experience Required: We are seeking candidates with 4 - 6 years of relevant experience. This level of experience indicates a proven ability to independently contribute to software quality assurance efforts and mentor junior team members. Salary:

Python Automation Testing Engineer

RLE India Private Limited•

Pune

•full time

Job Summary We are seeking a skilled and motivated Python Automation Testing Engineer to join our team. This role will focus on ensuring the quality and reliability of our products within the automotive industry. The ideal candidate will possess a strong foundation in Python and a passion for creating robust and efficient automated tests. Key Responsibilities The Python Automation Testing Engineer will be responsible for the design, development, and execution of automated tests. This includes identifying areas for test automation, creating and maintaining test scripts, and analyzing test results to identify and resolve defects. The role requires a proactive approach to problem-solving and a commitment to delivering high-quality software. Required Skills & Qualifications Python : Proficiency in Python programming language is essential, with a focus on writing clean, maintainable, and efficient code for test automation. PyTest : Experience using PyTest as a testing framework to design, execute, and report on test results. Robot Framework : Familiarity with Robot Framework for creating and managing automated test cases. Git : Strong understanding of Git version control system for collaborative development and code management. Cursor AI : Experience with Cursor AI is a plus. Automotive Testing : A solid understanding of testing methodologies within the automotive industry, including experience with relevant standards and regulations. Debugging : Proven ability to effectively debug and troubleshoot software issues, identifying root causes and implementing solutions. Test Automation : Comprehensive knowledge of test automation principles and best practices, with a focus on creating reusable and scalable test scripts. Analytical Skills : Excellent analytical skills to evaluate test results, identify trends, and make data-driven decisions. Problem-Solving Skills : Strong problem-solving skills to effectively address complex technical challenges and find creative solutions. Communication Skills : Effective communication skills to clearly and concisely convey technical information to both technical and non-technical audiences. Experience Required: 3 - 6 years of experience in software testing, with a focus on automation. This level of experience indicates a seasoned professional capable of independently designing and executing complex test plans, as well as mentoring junior team members. Qualifications: An automotive background is required. What We Offer Salary:

Back-end Software Development Engineer

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a skilled Back-end Software Development Engineer to join our growing team. This role is ideal for a highly motivated individual with a strong foundation in back-end development and a passion for leveraging cutting-edge technologies to build scalable and robust solutions. Key Responsibilities The responsibilities of this role will encompass the design, development, and maintenance of our back-end systems. You will be responsible for ensuring the reliability, performance, and security of our applications. Required Skills & Qualifications Full Stack Java Developer : Demonstrated proficiency in Java development, encompassing both front-end and back-end aspects of application development. GCP : Experience with Google Cloud Platform (GCP) services, including deployment, scaling, and management of applications within the GCP environment. Cursor AI : Familiarity with Cursor AI and its application in software development workflows. Open Code AI : Understanding of Open Code AI principles and their implementation in code generation and analysis. Gen AI : Knowledge of Generative AI concepts and their application in software development. Big Query : Expertise in utilizing BigQuery for data warehousing, querying, and analysis. Jira : Proficiency in using Jira for project management, issue tracking, and agile development workflows. Java : Strong understanding of Java programming language and its core principles. Spring Boot : Experience with Spring Boot framework for building stand-alone and production-ready Spring-based applications. Spring MVC : Knowledge of Spring MVC for developing web applications. API Design : Ability to design and implement robust and scalable APIs. REST : Experience with REST ful API design and implementation. GraphQL : Familiarity with GraphQL for efficient data fetching and manipulation. GKE : Experience with Google Kubernetes Engine ( GKE ) for container orchestration. Cloud Run : Understanding of Cloud Run for deploying and managing containerized applications. Pub/Sub : Knowledge of Pub/Sub for asynchronous messaging and event-driven architectures. IAM : Experience with Identity and Access Management ( IAM ) principles and implementation. PostgreSQL : Strong understanding of PostgreSQL database management system. Cloud SQL : Experience with Cloud SQL for managing relational databases in the cloud. Query Tuning : Ability to optimize database queries for performance and efficiency. Replication : Understanding of database replication techniques for high availability and disaster recovery. Indexing : Knowledge of database indexing strategies for improved query performance. BigData : Experience with BigData technologies and processing large datasets. Dataflow : Familiarity with Dataflow for stream and batch data processing. Spark : Experience with Spark for distributed data processing and analytics. Vertex AI : Understanding of Vertex AI for machine learning model deployment and management. LLM APIs : Knowledge of Large Language Model ( LLM ) APIs and their integration into applications. CI/CD : Experience with Continuous Integration and Continuous Delivery ( CI/CD ) pipelines. Docker : Proficiency in using Docker for containerization and application packaging. Kubernetes : Strong understanding of Kubernetes for container orchestration and management. Problem-Solving Skills : Demonstrated ability to analyze complex problems and develop effective solutions. Communication Skills : Excellent written and verbal communication skills for collaborating with team members and stakeholders. Qualifications : A Bachelor's Degree is required. Experience Required : 6 years of experience is preferred. The ideal candidate will possess a proven track record of success in back-end development and a strong understanding of software engineering best practices. What We Offer Salary :