Type Script 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:

Software Engineer (3) - Core Engineer D

RLE India Private Limited•

Chennai

•Full-time

Software Engineer (3) - Core Engineer D Job Summary We are seeking two Software Engineer (3) - Core Engineer D to join our team in Chennai. This is an onsite position within the Information Technology industry. Key Responsibilities No data provided. Required Skills & Qualifications Candidates must possess a Bachelor's Degree and a Master's Degree . A minimum of 8 years of experience is expected. Programming Languages: Demonstrated proficiency in Java and TypeScript , including experience with JavaScript and CSS , and HTML . Frameworks & Libraries: Strong understanding and practical experience with React , Next.js , Redux , and PrimeNG/Bootstrap . Backend Technologies: Expertise in Spring Boot , including the design and implementation of robust API Solutions and API Gateways . Databases: Solid experience with both Relational Databases ( POSTGRES ) and NoSQL databases. Cloud Technologies: Extensive experience with Google Cloud Platform ( GCP ), including Apigee X , Pivotal Cloud Foundry , Amazon Web Services , and Microsoft Azure . DevOps & Automation: Proficiency in Terraform , Maven , and Gradle for infrastructure as code and build automation. Code Quality & Security: Experience utilizing SonarQube for code quality analysis and remediation. Testing: Familiarity with various Performance Testing Frameworks , including Mocha , Jest , Jasmine , Karma , and JUnit . Architectural Patterns: Deep understanding of Micro Frontend Architecture and Event-Driven Architecture . Agile Methodologies: Experience with eXtreme Programming (XP) and utilizing tools such as Jira and CA Agile Central/Rally . Infrastructure & Monitoring: Experience with Cloud Monitoring , Splunk , and Dynatrace . Web Packaging: Experience with Webpack . Communication & Interpersonal Skills: Excellent Communication Skills and Interpersonal Skills for effective collaboration within a team environment. Problem-Solving Skills: Strong Problem-Solving Skills with the ability to analyze complex issues and develop creative solutions. Leadership: Demonstrated Leadership qualities and the ability to mentor and guide junior team members. Object-Oriented Design Principles: Solid understanding of Object-Oriented Design Principles . What We Offer Salary: No data provided.

Software Engineer (3) - Core Engineer D

RLE India Private Limited•

Chennai

•Full-time

Software Engineer (3) - Core Engineer D Job Summary We are seeking three experienced Software Engineers to join our team as Core Engineers. This role will be based onsite in Chennai and offers a challenging opportunity to contribute to cutting-edge technology solutions within the Technology industry. Key Responsibilities The responsibilities for this role will be defined upon onboarding and will align with the team's objectives. Required Skills & Qualifications Education: A Bachelor's Degree and a Master's Degree are required. Experience: A minimum of 8 years of experience in software engineering is expected. This level of experience indicates a seasoned professional capable of independent work and potentially mentoring junior team members. Programming Languages: Proficiency in Java and TypeScript is essential. Frameworks & Libraries: Demonstrated experience with Spring Boot , React , and Next.js . Databases: Strong understanding of both Relational Databases and NoSQL databases. Object-Oriented Design Principles: A solid grasp of Object-Oriented Design Principles is required, enabling the creation of maintainable and scalable code. Agile Methodologies: Experience with eXtreme Programming is desirable. Cloud Technologies: Familiarity with Google Cloud Platform ( GCP ), Amazon Web Services , Microsoft Azure , and Pivotal Cloud Foundry . Infrastructure as Code: Experience with Terraform for managing infrastructure as code. Code Quality Tools: Experience with SonarQube for code quality analysis. Build Tools: Proficiency with Maven and Gradle for dependency management and build automation. API Management: Experience with Apigee X and API Gateways for managing and securing APIs. Front-End Architecture: Understanding of Micro Frontend Architecture and Event-Driven Architecture . Web Development Fundamentals: Strong foundation in HTML , CSS , and JavaScript . JavaScript Frameworks: Experience with Webpack , Redux , PrimeNG , and Bootstrap . Testing: Experience with Performance Testing Frameworks , Mocha , Jest , Jasmine , Karma , and JUnit . DevOps: Experience with Cloud Monitoring and Splunk , Dynatrace . Project Management Tools: Experience with Jira , CA Agile Central , and Rally . Soft Skills: Excellent Communication Skills , Interpersonal Skills , and Problem-Solving Skills . Leadership: Demonstrated Leadership potential. Data & Analytics: Experience with Machine Learning , Mathematical Modeling , and Data Analysis . What We Offer Competitive Salary

Software Engineer (3) - Core Engineer 3

RLE India Private Limited•

Chennai

•Full-time

Job Summary We are seeking a highly skilled and motivated Software Engineer (3) - Core Engineer 3 to join our growing team in Chennai. This role will be based onsite and offers a challenging opportunity to contribute to cutting-edge technology projects within the Technology industry. Key Responsibilities The Core Engineer 3 will be responsible for the design, development, and maintenance of robust and scalable software solutions. This role requires a deep understanding of software engineering principles and a commitment to delivering high-quality code. Required Skills & Qualifications Educational Background: A B.E., B.Tech., M.C.A., or equivalent technical degree is required. Experience: A minimum of 5-6 years of experience in software engineering is expected. This level of experience indicates a proven ability to independently design, develop, and debug complex software systems, as well as mentor junior engineers. Programming Languages: Proficiency in Java , Node.js , and TypeScript is essential. Frameworks & Libraries: Strong experience with Spring Boot , React , and a solid understanding of REST APIs and GraphQL . Databases: Demonstrated ability to work with PostgreSQL . Cloud Technologies: Experience with GCP is required. Version Control: Familiarity with GitHub for version control and collaborative development. Microservices Architecture: A strong understanding of Microservices architecture and its implementation. API Integration: Experience with SOAP . Testing & Quality Assurance: Proficient in TDD (Test-Driven Development) and experienced with testing frameworks such as JUnit and Selenium . Security Practices: Knowledge of DevSecOps principles and experience with security tools like SonarQube and Checkmarx . AI & Machine Learning: Familiarity with AI concepts and experience with tools like Claude . Prompt Engineering & RAG: Understanding of Prompt Engineering and Retrieval-Augmented Generation (RAG) techniques. Web Technologies: Solid understanding of HTML5 , CSS3 , and JavaScript . UI/UX: Experience with Responsive UI Design . CI/CD: Experience with CI/CD pipelines and automation. Additional Tools: Familiarity with 42Crunch . Other: Understanding of Dynatrace . What We Offer Salary:

AI Build Engineer

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•full time

Job Summary We are seeking a skilled and experienced AI Build Engineer to join our dynamic team. This role will be responsible for building and deploying cutting-edge AI solutions, leveraging a variety of technologies and methodologies. The ideal candidate will possess a strong foundation in software engineering principles and a passion for AI innovation. Key Responsibilities The AI Build Engineer will be responsible for the design, development, and implementation of AI applications. This includes collaborating with cross-functional teams to define requirements, designing and building robust and scalable AI solutions, and ensuring the quality and reliability of deployed AI models. The role also involves continuous monitoring and optimization of AI systems to ensure peak performance and alignment with business objectives. Required Skills & Qualifications Programming Languages: Proficiency in multiple programming languages including Python , JavaScript , TypeScript , and C# . This includes the ability to write clean, efficient, and well-documented code. Large Language Models (LLMs): A strong understanding of LLMs and their application in various use cases. Retrieval-Augmented Generation (RAG): Experience with RAG techniques to enhance the capabilities of LLMs . Prompt Engineering: Expertise in Prompt Engineering to design effective prompts for LLMs . Vector Databases: Familiarity with Vector Databases and their use in storing and retrieving vector embeddings. Agentic AI: Knowledge of Agentic AI principles and their application in building autonomous agents. Cloud Platforms: Experience with cloud platforms such as Azure and AWS , including Azure AI Services , Azure OpenAI , AWS Bedrock , and Vertex AI . Containerization & Orchestration: Proficiency in Docker and Kubernetes for containerizing and orchestrating AI applications. DevOps & CI/CD: Experience with DevOps practices and CI/CD pipelines using tools like GitHub Actions and Azure DevOps . MLOps: Understanding of MLOps principles and best practices for managing the ML lifecycle. AI Application Integration: Ability to integrate AI applications into existing systems and workflows. Testing & Monitoring: Experience with AI-infused testing , Monitoring , and Observability tools and techniques. Governance: Understanding of Governance principles related to AI systems. API & Microservices: Experience with API development and Microservices architectures. Additional Skills: Familiarity with MCP , Playwright , and AI copilots . Qualifications: Possession of AI/Cloud certifications such as Azure AI Engineer or AWS ML is highly desirable. Experience Required: We are seeking candidates with 5-10 years of relevant experience in software engineering and AI development. This level of experience should demonstrate a proven ability to design, build, and deploy complex AI solutions in a production environment. What We Offer The role is onsite .

AI Build Engineer (GenAI / Agentic AI / AI Automation)

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•Full-time

Job Summary We are seeking a skilled and experienced AI Build Engineer to join our growing team. This role will focus on the development and implementation of cutting-edge AI solutions, specifically within the realms of GenAI , Agentic AI , and AI Automation . The ideal candidate will possess a strong foundation in software engineering principles and a passion for leveraging AI to solve complex business challenges. This position is located in Bengaluru, Chennai, or Hyderabad. Key Responsibilities The AI Build Engineer will be responsible for designing, building, and deploying AI -powered applications and systems. This includes collaborating with cross-functional teams to define requirements, developing robust and scalable solutions, and ensuring the ongoing performance and reliability of deployed systems. The role demands a proactive approach to problem-solving and a commitment to delivering high-quality AI solutions. Required Skills & Qualifications Programming Languages: Proficiency in multiple programming languages is essential, including Python , JavaScript , TypeScript , and C# . Experience should demonstrate the ability to write clean, efficient, and well-documented code. Large Language Models (LLMs): A strong understanding of LLMs and their application in various use cases. Retrieval Augmented Generation (RAG): Experience implementing RAG architectures to enhance LLM capabilities with external knowledge sources. Prompt Engineering: Expertise in crafting effective prompts to elicit desired responses from LLMs . Vector Databases: Familiarity with vector databases and their use in storing and querying vector embeddings. Agentic AI: Experience in developing and deploying Agentic AI systems, leveraging autonomous agents to perform complex tasks. Model Context Protocol (MCP): Understanding of MCP and its role in managing AI model context. Testing & Automation: Experience with Playwright and AI-infused testing solutions to ensure the quality and reliability of AI systems. Frameworks & Libraries: Proficiency in utilizing frameworks and libraries such as LangChain and LangGraph for building LLM -powered applications. Cloud Platforms: Experience with Azure OpenAI , AWS Bedrock , and Vertex AI for developing and deploying AI models. Containerization & Orchestration: Solid understanding of Docker and Kubernetes for containerizing and orchestrating AI applications. DevOps & CI/CD: Experience with GitHub Actions and Azure DevOps for implementing CI/CD pipelines. MLOps: Knowledge of MLOps principles and practices for managing the entire ML lifecycle. AI Copilots: Familiarity with AI copilots and their integration into development workflows. Autonomous Agents: Experience in designing and implementing autonomous agents for various tasks. API & Microservices: Experience designing and building APIs and microservices for AI applications. Infrastructure: Understanding of monitoring , observability , and governance best practices for AI systems. Security: Commitment to building secure and responsible AI solutions. Analytical & Problem-Solving Skills: Strong analytical skills and problem-solving skills to effectively troubleshoot and resolve issues. Communication Skills: Excellent communication skills to effectively collaborate with cross-functional teams. Experience Required: 5 - 10 years of experience in software engineering with a focus on AI development. This level of experience is expected to demonstrate a proven ability to design, build, and deploy complex AI systems. The candidate should be comfortable working independently and as part of a team, and possess a strong understanding of software development best practices. Qualifications: AI/Cloud certifications ( Azure AI Engineer , AWS ML , etc.) are preferred. What We Offer Salary:

AI Build Engineer

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•full time

Job Summary We are seeking a skilled and motivated AI Build Engineer to join our growing team. This role will focus on building, deploying, and maintaining robust and scalable AI solutions. The ideal candidate will possess a strong foundation in software engineering principles and a passion for leveraging cutting-edge AI technologies. Key Responsibilities The AI Build Engineer will be responsible for the following: Developing and implementing AI models and applications using various programming languages and frameworks. Building and maintaining robust CI/CD pipelines for automated testing, building, and deployment of AI models. Ensuring the quality and reliability of AI solutions through rigorous testing and monitoring . Collaborating with cross-functional teams to define, design, and ship new features. Implementing and maintaining governance policies for AI models. Required Skills & Qualifications To be successful in this role, candidates must possess the following skills and qualifications: Proficiency in programming languages including Python , JavaScript , TypeScript , and C# . Experience with large language models ( LLMs ) and related techniques such as RAG (Retrieval Augmented Generation) and Prompt Engineering . Solid understanding of vector databases and their application in AI systems. Familiarity with Agentic AI concepts and implementation. Experience with Model Context Protocol (MCP) . Experience with testing frameworks such as Playwright . Experience with frameworks such as LangChain and LangGraph . Experience with cloud-based AI services including Azure OpenAI , AWS Bedrock , and Azure AI Services , and Vertex AI . Strong experience with containerization technologies such as Docker and orchestration platforms like Kubernetes . Experience with version control systems such as GitHub Actions and Azure DevOps . Knowledge of MLOps principles and practices. Familiarity with AI copilots and Autonomous agents . Experience with AI-infused testing solutions . Understanding of API design and development. Experience building Microservices architectures. Strong Analytical Skills , Problem-Solving Skills , and Communication Skills . Experience Required: 5 - 10 years of experience in software engineering with a focus on AI/ML. This level of experience indicates a seasoned professional capable of independently designing, developing, and deploying complex AI solutions. The candidate should be comfortable working in a fast-paced environment and collaborating with a diverse team of engineers and researchers. What We Offer Salary: