Integration Testing Jobs in Bangalore

Scrum Master

RLE India Private Limited•

Pune

•full time

Job Summary We are seeking a skilled and experienced Scrum Master to join our dynamic team in Pune. This role is crucial for ensuring the successful delivery of high-quality software solutions through the effective application of Agile principles and practices. The ideal candidate will possess a strong understanding of the software development lifecycle and a proven ability to facilitate Scrum events and remove impediments for development teams. Key Responsibilities The Scrum Master will be responsible for guiding and coaching development teams on the use of Scrum , ensuring they adhere to Agile values and principles. This includes facilitating Scrum ceremonies, such as sprint planning, daily Scrum , sprint review, and sprint retrospective. The role also involves identifying and removing impediments that hinder the team's progress, fostering a collaborative and self-organizing environment. Required Skills & Qualifications Understanding of Software Development Lifecycle (SDLC): A comprehensive understanding of the various phases of the software development lifecycle, from inception to deployment and maintenance. Agile Engineering Practices: Demonstrated proficiency in Agile methodologies, particularly Scrum , and the ability to coach teams on their effective implementation. Common Engineering Workflows: Familiarity with standard engineering workflows, including version control, code review, and continuous integration. Web Application Technologies: Knowledge of technologies used in web application development, including Angular . Mobile Application Technologies: Understanding of technologies used in mobile application development. Desktop Application Technologies: Understanding of technologies used in desktop application development, including C# , .NET , and WPF . Ability to Work with Technical Leads: Proven ability to collaborate effectively with technical leads to ensure alignment on technical direction and execution. DevOps Tools & Workflows: Experience with DevOps tools and workflows, including CI/CD . Backlog Tools: Proficiency in using Backlog tools such as Jira and Azure Boards to manage product and sprint backlogs. Communication Skills: Excellent verbal and written communication skills, with the ability to clearly and concisely convey technical information to both technical and non-technical audiences. English: Fluency in English, both written and spoken. Estimation, Dependencies, Risks: Ability to facilitate discussions and guide teams in estimating tasks, identifying dependencies, and assessing risks. Metrics: Understanding of key Scrum metrics, including Velocity , Burndown , and Flow Efficiency . Scrum Artifacts: Deep understanding of Scrum artifacts, including the Product Backlog , Sprint Backlog , and Increment . Technical Execution & Craftsmanship: Appreciation for Technical Craftsmanship principles, Clean Code , and Maintainability . Testing Approach & System Stability: Understanding of testing approaches and their impact on System Stability . System Integration Concepts: Knowledge of API and Cloud concepts and System Integration concepts. Experience Required: The ideal candidate will have 4-6 years of experience in a related role, demonstrating a solid foundation in software development and Agile practices. This level of experience is expected to provide a strong understanding of team dynamics and the ability to effectively facilitate Scrum events and remove impediments. 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 .

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

Cyber Security Software Engineer

RLE India Private Limited•

Bengaluru

•full time

Job Summary We are seeking a skilled and motivated Cyber Security Software Engineer to join our growing team. This role will focus on developing and implementing robust security measures within our Automotive Embedded Systems , ensuring the integrity and security of our platforms. The ideal candidate will possess a strong understanding of Cybersecurity Principles and a proven ability to apply them to real-world challenges. Key Responsibilities The Cyber Security Software Engineer will be responsible for a range of tasks related to the security of our embedded systems. This includes designing and implementing Secure Architecture , conducting thorough Security Reviews and Code Reviews , and performing Penetration Testing to identify and mitigate potential vulnerabilities. The role also involves contributing to the development of Security Services and ensuring adherence to Automotive Standards . Required Skills & Qualifications The ideal candidate will possess a strong foundation in software engineering principles and a deep understanding of cybersecurity best practices. Specific skills and qualifications include: Programming Languages: Proficiency in C and C++ is essential for developing and maintaining secure software components. Mobile Development: Experience with Android development will be beneficial for understanding and securing related platform components. Operating Systems: Familiarity with QNX is highly desirable, given its common use in automotive and embedded systems. Time Management & Synchronization: A strong understanding of Secure Time Management , RTC (Real-Time Clock), Timezone Management , and Trusted Time Sources is critical for ensuring system integrity. Embedded Systems Expertise: Demonstrated experience in Automotive Embedded Systems and Embedded Software Development is required. Cybersecurity Expertise: A solid grasp of Cybersecurity Principles , including Threat Analysis , Secure Architecture Design , Secure Boot , Secure Time Validation , and Time Tampering Detection . Security Technologies: Experience with Cryptographic Services , Trusted Execution Environments , Key Management , and System Hardening . Platform-Level Debugging: Ability to perform Platform-Level Debugging to identify and resolve security vulnerabilities. Platform-Level Services: Understanding of Platform-Level Services and their role in overall system security. Testing & Validation: Proficiency in Unit Testing , Integration Testing , and Security Testing methodologies. Architecture & Design: Ability to participate in Architecture Reviews and contribute to the design of secure systems. Cybersecurity Compliance: Knowledge of Cybersecurity Compliance requirements and standards. Experience Required: 6 - 8 years of experience in software engineering with a focus on security. This level of experience indicates a seasoned professional capable of independently designing, developing, and securing complex embedded systems. What We Offer Salary: 30% Hike

SAP FICO Consultant

SACHA Engineering•

Bengaluru

•full time

Job Summary We are seeking a skilled and experienced SAP FICO Consultant to join our dynamic team. This is a hybrid role within the IT / Technology industry. The ideal candidate will possess a strong understanding of SAP FICO principles and practices, with experience in implementation and support projects. Key Responsibilities The SAP FICO Consultant will be responsible for various tasks related to the implementation, configuration, and support of SAP FICO modules. This includes, but is not limited to, analyzing business requirements, designing solutions, configuring the system, performing testing, and providing user support. Required Skills & Qualifications SAP FICO Expertise: Demonstrated proficiency in configuring and supporting SAP FICO modules, including Financial Accounting ( FI ) and Controlling ( CO ). S/4HANA Experience: Experience working with S4HANA environments is highly desirable. FI & CO Knowledge: A thorough understanding of Financial Accounting ( FI ) processes, including general ledger accounting, accounts payable ( AP ), and accounts receivable ( AR ). Strong knowledge of Controlling ( CO ) processes, including cost center accounting, profitability analysis, and product costing. FI Interfaces : Experience with developing and maintaining FI interfaces. Integration Testing : Ability to perform comprehensive integration testing to ensure data accuracy and system stability. Agile & Waterfall Methodologies: Experience working within both Agile and Waterfall project management methodologies. JIRA : Familiarity with JIRA for issue tracking and project management. SAP PI : Experience with SAP PI (Process Integration) for data integration. MM , SD , GM , WM : Working knowledge of Materials Management ( MM ), Sales and Distribution ( SD ), General Maintenance ( GM ), and Warehouse Management ( WM ) modules. RTR & SAP RTR Consultant : Experience with Reporting, Analytics, and Data Management ( RTR ) and experience as a SAP RTR Consultant . Experience Required: 6 - 15 years of relevant experience in SAP FICO consulting. This level of experience indicates a senior-level consultant capable of independently managing projects, mentoring junior team members, and providing expert guidance on complex SAP FICO implementations. What We Offer Salary: 22 LPA

Cyber Security Software Engineer

RLE India Private Limited•

Bengaluru

•full time

Job Summary We are seeking a skilled and motivated Cyber Security Software Engineer to join our team in Bangalore. This role will focus on developing and implementing robust security solutions within our Automotive Embedded Systems . The ideal candidate will possess a strong understanding of cybersecurity principles and a proven ability to design and implement secure software solutions. Key Responsibilities The Cyber Security Software Engineer will be responsible for the following: Designing and implementing secure software solutions for Automotive Embedded Systems . Conducting Threat Analysis to identify potential vulnerabilities and risks. Developing Secure Architecture Designs that incorporate industry best practices. Performing Platform-level Debugging to identify and resolve security-related issues. Implementing Secure Boot mechanisms to ensure the integrity of the system. Developing and implementing Secure Time Validation and Time Tampering Detection mechanisms. Integrating and utilizing Cryptographic Services to protect sensitive data. Working with Trusted Execution Environments to isolate and protect critical code. Developing and maintaining Security Middleware and Security Services . Managing Key Management processes to ensure the confidentiality and integrity of cryptographic keys. Utilizing Trusted Time Sources to ensure accurate and reliable timekeeping. Performing System Hardening to reduce the attack surface of the system. Developing and implementing Security Controls to mitigate identified risks. Ensuring compliance with relevant Automotive Standards . Conducting Penetration Testing to identify vulnerabilities. Ensuring Cybersecurity Compliance with industry regulations. Performing Unit Testing , Integration Testing , and Security Testing to ensure the quality and security of the software. Required Skills & Qualifications The ideal candidate will possess the following skills and qualifications: Strong understanding of Cyber Security principles and best practices. Proficiency in programming languages including C and C++ . Experience with Android and QNX operating systems. Experience with Secure Time/RTC Manager and Timezone management. Knowledge of Real-Time Clock (RTC) and Timezone Management concepts. Experience with Automotive Embedded Systems development. Proven ability in Embedded Software Development . Ability to perform Threat Analysis and identify potential vulnerabilities. Experience in designing Secure Architecture . Proficiency in Platform-level Debugging techniques. Knowledge of Secure Boot mechanisms. Understanding of Secure Time Validation and Time Tampering Detection . Experience with Cryptographic Services and Trusted Execution Environments . Familiarity with Security Middleware and Security Services . Knowledge of Key Management principles. Understanding of Trusted Time Sources . Experience with System Hardening techniques. Familiarity with Platform-level Services . Knowledge of Secure Time and RTC Synchronization . Understanding of Security Controls . Familiarity with Automotive Standards . Experience with Penetration Testing methodologies. Knowledge of Cybersecurity Compliance requirements. Experience with Unit Testing , Integration Testing , and Security Testing . Experience Required: 6 - 8 years of relevant experience. This level of experience indicates a seasoned professional capable of independently designing, developing, and implementing complex security solutions within an embedded systems environment. The candidate should be able to mentor junior engineers and contribute to the overall security posture of the organization. What We Offer Salary: