As a Engineering Manager, you will lead a high-impact engineering team in developing and scaling Rakuten SixthSense’s Data Observability platform. This role requires a strong technical background working high-scale systems and full-stack cloud engineering, DevOps. Key Responsibilities Lead and mentor a team of 5-8 engineers, driving innovation in . Define and execute the technical vision for full-stack observability, ensuring high availability and performance. Architect and implement scalable solutions for real-time monitoring, data quality, and operational efficiency. Champion DevOps best practices, including CI/CD pipelines, automation, logging, and Kubernetes-based deployments. Ensure compliance with data governance standards, security, and scalability in hybrid cloud environments (AWS, GCP, Azure). Oversee end-to-end product lifecycle, from concept to deployment, ensuring seamless integration with enterprise systems. Collaborate with product, operations, and business stakeholders, aligning engineering efforts with strategic objectives. Drive Agile execution, ensuring rapid iterations, high-quality deliverables, and continuous improvement. What You Bring 8-10 years of software development experience, with 4+ years in technical leadership roles. Expertise in Java, Spring, Hibernate, and microservices architecture. Experience with any cloud platforms (AWS, GCP, Azure) and hybrid cloud strategies. Proficiency in containerization, Kubernetes, CI/CD pipelines, and infrastructure as code. Full-stack experience in building RESTful APIs, real-time monitoring, and automation frameworks. Proven track record of leading large-scale projects and handling post-production challenges. Hands-on DevOps mindset, ensuring automation, quality, and reliability in data observability platforms. Experience using Observability Platforms. Excellent problem-solving, debugging, and system architecture skills. Nice to Have Previous experience in AIOps, or real-time analytics platforms. Exposure to AI-driven automation and anomaly detection in data engineering. Show more Show less
We are seeking a highly experienced and visionary QA Automation Architect to lead the design, development, and implementation of a state-of-the-art automation framework. This role requires a strategic thinker and hands-on leader who can define and execute a robust automation strategy while collaborating with cross-functional teams to ensure the delivery of high-quality software solutions. Key Responsibilities: Automation Framework Design and Development: Architect and build a scalable, maintainable, and robust automation framework from the ground up using the latest tools and technologies. Define and implement best practices for test automation, including coding standards, test design, and execution strategies. Ensure the framework supports functional, regression, performance, and integration testing. End-to-End Solution Delivery: Collaborate with product managers, developers, and other stakeholders to understand business requirements and translate them into testable solutions. Design and implement end-to-end testing strategies to validate complex workflows and integrations across systems. Ensure seamless integration of the automation framework with CI/CD pipelines for continuous testing. Leadership and Mentorship: Provide technical leadership and guidance to QA engineers and developers on automation best practices. Mentor and upskill team members to enhance their technical expertise and ensure consistent delivery of high-quality work. Drive a culture of quality, innovation, and continuous improvement within the QA team. Tool and Technology Evaluation: Stay up-to-date with the latest trends and advancements in test automation tools and technologies. Evaluate and recommend tools, libraries, and frameworks that align with the organization's needs and goals. Ensure the selected tools integrate effectively with the existing technology stack. Quality Assurance Strategy: Define and implement a comprehensive QA strategy that includes both manual and automated testing approaches. Establish metrics and KPIs to measure the effectiveness of the QA process and drive continuous improvement. Identify and mitigate risks related to quality and testing. Collaboration and Communication: Work closely with development, DevOps, and product teams to ensure alignment on quality goals and deliverables. Communicate progress, challenges, and results to stakeholders at all levels of the organization. Act as a subject matter expert for QA automation and advocate for quality across the organization. Required Skills and Qualifications: Experience: 8 to 14 years of experience in QA, with at least 4+ years in a QA Architect or similar leadership role. Proven experience in designing and implementing automation frameworks from scratch. Hands-on experience with end-to-end testing of complex systems and integrations. Technical Skills: Proficiency in programming languages such as Java, Python, C#, or JavaScript. Expertise in automation tools and frameworks like Selenium, Appium, Cypress, Playwright, or similar. Experience with API testing tools like Postman, Rest Assured, or similar. Strong knowledge of CI/CD tools (e.g., Jenkins, GitLab, Azure DevOps) and integrating automation into pipelines. Familiarity with performance testing tools (e.g., JMeter, Gatling) is a plus. Solid understanding of software development lifecycle (SDLC) and Agile methodologies. Soft Skills: Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to work in a fast-paced, dynamic environment and manage multiple priorities. Show more Show less
We are a Rakuten Group company, providing global B2B services for the mobile telco industry and enabling next-generation, cloud-based, international mobile services. Building on the technology Rakuten used to launch Japan’s newest mobile network, we are now taking our mobile offering global! To support our ambitions to provide an innovative cloud-native telco platform for our customers, we are looking to recruit and develop top talent from Digital Product Management. Let’s build the future of mobile telecommunications together! We are a Rakuten Group company, providing global B2B/B2C services for the mobile telco industry and enabling next-generation, cloud-based, international mobile services. Building on the technology Rakuten used to launch Japan’s newest mobile network, we are now taking our mobile offering global! To support our ambitions to provide an innovative cloud-native telco platform for our customers, we are looking to recruit and develop top talent from Digital Product Management. Let’s build the future of mobile telecommunications together! Role : Technical Program manager You will independently lead cross-organisation programs, influencing the roadmap priorities and technical direction across teams. You will work with stakeholders across the organisation and own the communication of all aspects of the program including surfacing risks and progress towards the goal. You will guide the team towards technical solutions and make trade-off decisions. You will drive program management best practices across the organisation. The role requires closely working with the multiple functional teams (including but not limited to Business, Architects, Engineering, Operation support etc ) in building and maintaining program delivery timelines, unblocking teams, defining, and streamlining cross-functional dependencies along with increasing efficiency and velocity of project execution. You would likely spend most of the days in Agile, Kanban, or other project planning tools and scheduling meetings with relevant stakeholders to make sure projects keep moving forward to deliver a program execution strategy and timeline, as well as regular reporting of project health to stakeholders throughout a project’s life cycle. Team : RBSS Delivery organization Skills and Qualification Upto 15 years of hands-on technical project/program management experience with at least 10+ years of program managing /working in Scrums Must have Telecom Background with exposure on working with Telcom operators / ISP ( B2B, B2C customer solutions ) in software delivery / integration for at least 5+ years in BSS domain. Technology stack : Managed complex Data migration projects involving technologies such as Cloud ( AWS, GCP or compatible ), Microservices, Various DB solution (Oracle, MySQL, Couchbase, Elastic DB, Camunda etc ) ,Data streaming technologies ( such as Kafka) and tools associated with the technology stack Excellent Knowledge of Project Management Methodology and Software Development Life Cycles including Agile with excellent client-facing and internal communication skills. Ability to plan, organize, prioritize, and deliver multiple projects simultaneously. In-depth-knowledge and understanding of Telecom BSS business needs with the ability to establish/maintain high level of customer trust and confidence with Solid organizational skills including attention to detail and multitasking skills. Good to understanding of the challenges associated with BSS business and understanding of high level modules( CRM, Order Management , Revenue mgmt. and Billing services ) Excellent verbal, written, and presentation skills to effectively communicate complex technical and business issues (and solutions) to diverse audiences Strong analytical, planning, and organizational skills with an ability to manage competing demands Always curious about various issues/items. Have passion to learn continuously in a fast- moving environment Strong working knowledge of Microsoft Office, Confluence, JIRA, etc. Good to have: Project Management Professional (PMP) / Certified Scrum Master certification Good to have: knowledge of external solutions integrated with ETL software, Billing, Warehouse/supply chain related migrations projects Key job responsibilities Manage/Streamline the program planning by evaluating the incoming project demand across multiple channels against available capacity Regularly define and review KPI ‘s for proactively seek out new and improved mechanisms for visibility ensuring your program stays aligned with organization objectives Develop and Maintain Kanban boards /workstream dashboards Work with stakeholders during entire life cycle of the program, Execute Project requirements, Prepare detailed project plan, identify risks, manage vendor / vendor resources, measure program metrics and take corrective and preventive actions Ability to adopt Agile best practices ( such as estimation techniques) and define and optimize the processes is essential Coordinate with the product Management team to Plan Features and Stories into sprints, understand business priorities, align required stakeholders to make sure the team is able to deliver the expected outcome Manage Technology Improvements and other enhancements from conceptualization to delivery, have deep understanding of their impact, pros/cons, work through required detail, collaborate with all stakeholders till its successfully deployed in production Manage and Deliver Planned RBSS releases by working with customers .Work with Scrum masters, plan Scrum capacity, manage productivity of the teams Monitoring progress of the software developed by scrum teams, quality of the deliverables Working with engineering & product teams to scope product delivery, define solution strategies and understand development alternatives, as well as support Ensure availability to the team to answer questions and deliver direction. Work across multiple teams and vendors (cross-cutting across programs, business/engineering teams, and/or technologies) to drive delivery strategy & dependency management ensuring active delivery and pro-active communications Forecast and manage infrastructure and Resourcing demand against the operational growth of the platform in collaboration with engineering teams Delivering Agile projects that offer outstanding business value to the users. Supporting the stakeholders in implementing an effective project governance system. “Rakuten is committed to cultivating and preserving a culture of inclusion and connectedness. We are able to grow and learn better together with a diverse team and inclusive workforce. The collective sum of the individual differences, life experiences, knowledge, innovation, self-expression, and talent that our employees invest in their work represents not only part of our culture, but our reputation and Rakuten’s achievement as well. In recruiting for our team, we welcome the unique contributions that you can bring in terms of their education, opinions, culture, ethnicity, race, sex, gender identity and expression, nation of origin, age, languages spoken, veteran’s status, color, religion, disability, sexual orientation and beliefs” Show more Show less
As a Engineering Manager, you will lead a high-impact engineering team in developing and scaling Rakuten SixthSense’s Data Observability platform. This role requires a strong technical background working high-scale systems and full-stack cloud engineering, DevOps. Key Responsibilities Lead and mentor a team of 5-8 engineers, driving innovation in . Define and execute the technical vision for full-stack observability, ensuring high availability and performance. Architect and implement scalable solutions for real-time monitoring, data quality, and operational efficiency. Champion DevOps best practices, including CI/CD pipelines, automation, logging, and Kubernetes-based deployments. Ensure compliance with data governance standards, security, and scalability in hybrid cloud environments (AWS, GCP, Azure). Oversee end-to-end product lifecycle, from concept to deployment, ensuring seamless integration with enterprise systems. Collaborate with product, operations, and business stakeholders, aligning engineering efforts with strategic objectives. Drive Agile execution, ensuring rapid iterations, high-quality deliverables, and continuous improvement. What You Bring 8-12 years of software development experience, with 4+ years in technical leadership roles. Expertise in Java, Spring, Hibernate, and microservices architecture. Experience with any cloud platforms (AWS, GCP, Azure) and hybrid cloud strategies. Proficiency in containerization, Kubernetes, CI/CD pipelines, and infrastructure as code. Full-stack experience in building RESTful APIs, real-time monitoring, and automation frameworks. Proven track record of leading large-scale projects and handling post-production challenges. Hands-on DevOps mindset, ensuring automation, quality, and reliability in data observability platforms. Experience using Observability Platforms. Excellent problem-solving, debugging, and system architecture skills. Nice to Have Previous experience in AIOps, or real-time analytics platforms. Exposure to AI-driven automation and anomaly detection in data engineering.
Responsibilities Develop and implement AI-driven solutions to incubate and drive impact through latest technologies Collaborate with cross-functional teams to understand requirements and translate them into technical specifications. Integrate AI models and algorithms into existing solutions to provide predictive and prescriptive insights Optimize data models and processes for performance and scalability. Ensure data accuracy, consistency, and integrity in all solutions Stay updated with the latest advancements in AI and technologies and apply them Provide training and support to end-users on how to use and interpret AI-driven solutions Qualifications Bachelor’s degree in computer science, Data Science, AI/ML, or a related field 10-12 years overall experience; 4+ years of professional experience working directly on the design, development, and rollout of AI/ML/Gen-AI Solutions, LLM, Agentic workflow, transformers, RAG etc. Experience with AI and machine learning frameworks like TensorFlow, PyTorch, or similar Experience with MLops- Scaling AI/ML system in production Proficiency in programming languages such as Python and SQL. Strong analytical and problem-solving skills. Excellent communication and collaboration skills Ability to work independently and as part of a team Experience with Azure cloud platforms like, AWS, or Google Cloud is a plus Experience / involvement in organization wide digital transformations preferred Knowledge of natural language processing (NLP) and its applications Experience with big data technologies like Hadoop, Spark, or similar Familiarity with data warehousing concepts and tools “Rakuten is committed to cultivating and preserving a culture of inclusion and connectedness. We are able to grow and learn better together with a diverse team and inclusive workforce. The collective sum of the individual differences, life experiences, knowledge, innovation, self-expression, and talent that our employees invest in their work represents not only part of our culture, but our reputation and Rakuten’s achievement as well. In recruiting for our team, we welcome the unique contributions that you can bring in terms of their education, opinions, culture, ethnicity, race, sex, gender identity and expression, nation of origin, age, languages spoken, veteran’s status, color, religion, disability, sexual orientation and beliefs”
About the Company Founded in 1997, Rakuten Group is headquartered in Tokyo, with over 14,000 employees worldwide. Rakuten started as the largest eCommerce company in Japan, but has now become one of the largest internet conglomerates in Japan offering more than 70 services worldwide including Fintech businesses (Card, Securities, Bank and insurance) as well as newly-entered mobile carrier business as 4th carrier in Japan. Rakuten’s vision is to become the worlds’ biggest membership company. Rakuten provides the opportunities where employees can grow in a large dynamic and innovative company, along with the entrepreneurial environment of a startup. Rakuten’s global footprint spans six continents and multiple industries Rakuten India Development Centre is the second largest technology hub outside of Japan that enables & builds platforms for global E commerce, Payments, Digital, AI, Data Science services across the globe. The India arm serves as a research and development center with an employee strength of around 1500+ & growing. We are seeking an experienced Associate Engineering Director to lead the design, development, and delivery of web and AI/ML-based applications. This role requires a strong technical foundation in modern web technologies as well as a strategic understanding of AI/ML integration to drive business value and product innovation. About the Role The ideal candidate will have 16+ years of experience in building and scaling software applications, including a proven track record of delivering complex web products. Experience in leading cross-functional engineering teams, aligning technology with product goals, and ensuring the performance, reliability, and scalability of applications is essential. While the core focus is on web-based product development, this role also includes oversight of initiatives where AI/ML capabilities are integrated to enhance functionality and user experience. The candidate will collaborate with product stakeholders and data science teams to ensure seamless implementation and operationalization of AI/ML solutions. Responsibilities Lead and manage multiple engineering teams responsible for the design, development, and delivery of both web-based and AI/ML-enabled applications across a diverse product portfolio. Define and maintain the technical architecture and roadmap for scalable web and AI/ML product solutions, ensuring alignment with business goals and technology strategy. Drive the entire software development lifecycle, including planning, design, development, testing, deployment, and ongoing support. Ensure the scalability, performance, reliability, and security of production systems, across both traditional web products and AI/ML-powered services. Collaborate closely with product managers, designers, and overseas stakeholders to define requirements and translate business needs into robust technical solutions. Lead the integration of AI/ML models into web products to improve user experience, enable intelligent automation and drive business impact. Champion engineering best practices across both domains, including code quality, automated testing, CI/CD, and secure coding standards. Ensure high performance and availability of platforms using modern backend technologies such as Python, Java, Flask, and orchestration tools like Airflow. Maintain an agile delivery approach, ensuring regular releases, fast feedback loops, and adaptability to change. Collaborate with infrastructure and DevOps teams to optimize deployment pipelines for web applications and AI/ML components. Mentor and develop engineering talent, fostering a high-performance culture that supports career growth and innovation. Stay abreast of emerging technologies and industry trends in web development and AI/ML, evaluating and introducing new tools and frameworks where appropriate. Manage resource planning and budget management to ensure effective allocation across web and AI/ML initiatives. Qualifications 16+ years of experience in software engineering, with at least 5+ years in engineering leadership roles. Proven experience in delivering complex web-based applications at scale using modern frameworks and cloud infrastructure. Demonstrated understanding of AI/ML model integration into production systems. Strong technical background with hands-on experience in technologies such as Python, Java, Flask, and data orchestration tools like Airflow. Solid knowledge of software architecture, design patterns, security, scalability, and performance optimization for both web and AI/ML systems. Experience working in Agile environments with cross-functional teams and a track record of delivering products on time and within scope. Excellent leadership, communication, and stakeholder management skills. Experience managing engineering budgets, team capacity planning, and vendor relationships (as needed). Preferred Skills Passion for delivering high-quality products that solve real-world problems. Deep interest in emerging trends in web technologies and applied AI/ML. Demonstrated ability to bridge the gap between engineering and business, aligning teams around strategic goals. Experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and CI/CD pipelines. Familiarity with MLOps principles and tools for model versioning, monitoring, and deployment is a strong plus. Strong analytical and problem-solving skills with a proactive, growth-oriented mindset. Track record of building, mentoring, and retaining high-performing technical teams. ```
Are you interested in working for a Global Leader in E-commerce? Are you excited about working on highly scalable platforms and applications that are accessed by millions of users every day? If so, read on to find out more about the opportunity. Rakuten is the largest E-commerce company in Japan and one of the largest E-commerce and Internet Services companies in the World. Rakuten is ranked in top 20 most innovative companies in the world by Forbes. Rakuten India Development Centre is the second largest technology hub outside of Japan that enables & builds platforms for global E commerce, Payments, Digital, AI, Data Science services across the globe. The India arm serves as a research and development center with an employee strength of around 1700 (& Growing). What will you do? You will join a team of Quality Engineering experts who are passionate and hands-on to be responsible for developing innovative consumer-centric solutions and practices to drive Quality with Shift Left approach in building Product solutions - Work closely with Internal or Customer based Engineering, Product Management, Release Management teams and enable them by providing scalable and high quality technology solutions at a rapid pace - Liaising with stakeholders to design comprehensive test strategies and their associated automated tests & metrics - Developing configurable, maintainable, reusable and performant test automation suites that empower teams to increase efficiency and product quality - Integrate with deployment infrastructure to establish a continuous integration and delivery - Analyzing functional and technical documentation in order to identify requirements for the creation of test plans, test cases and test scripts - Liable for both functional and non-functional (performance, security, scalability, accessibility, globalization) quality aspects of a product requirements - Have ability to work as a team to deliver end to end quality of the products ensuring time to market - Passionate to innovate & implement ideas to address efficiency, best practices, improved processes, and cool solutions - Drive initiatives to provide value additions to the customer by address opportunities for improvements as part of Quality deliverables - Propensity to probe and find defects Ideal candidate comes with : - Minimum of 3 years of experience in Building Automation frameworks for UI and API automation - Should have strong experience in defining and implementation automation strategy for various applications stack - Good experience in automation and validation using Selenium Web Driver - Demonstrated command of any frameworks:, Apache, RestAPI , SOAPUI, Postman, JMeter - Hands-on coding experience using Java Collections and Core concepts - Scripting experience in one or more of the following: JavaScript, Perl, Ruby, Python, Shell scripts - IT software development, digital solutions, digital transformation background is mandatory. - Good understanding of technology, software development methodologies especially as relating to developing custom software for customers using agile principles Note : preferably who can join immediate or 15 days notice. Rakuten is a global group of companies with offices in Japan, Europe, Singapore, the United States, India and other countries. When you apply to us for a position we may consider your application for roles in one of our other offices as well, and may share your information based on interest and competence. Any information we share about you shall remain confidential as per the Rakuten group’s candidate selection and recruitment processes.
Job Title Netwrok & Security Engineer (NOC) Job Description Designation: NOC Engineer (Network & Security Operations) Location: Bengaluru, India Why you should choose us Are you interested in working for a Global Leader in E-commerce Are you excited about working on highly scalable platforms and applications that are accessed by millions of users every day If so, read on to find out more about the opportunity. Rakuten is the largest E-commerce company in Japan and one of the largest E-commerce and Internet Services companies in the World. Rakuten is ranked in top 20 most innovative companies in the world by Forbes. What will you do Monitor, Implement & Troubleshoot Network issues. Build & deploy monitoring solutions for NOC. Managing Network Security Operations (Firewall & LB) Working on Routing, Switching & IPAM Operations (Network) Change Requests Implementation pertaining to Network & Security Infrastructure Manage Infrastructure, Data Center, Cloud, Virtual & Physical appliances including Cisco, Palo Alto, Juniper, Wireless. Perform monitoring and incident response of cyber security events as part of a highly available Security Operation Center (SOC) What we look for Experience: Relevant Experience (Network & Security Operations): 1 to 3 years Overall Experience: 3 years Work experience with global stakeholders. Enterprise support standard & processes. Technical Skills: Experience in managing DNS/DHCP, Juniper and Cisco Routers, Switches, Firewalls & load balancers. Relevant IT qualifications and certs e.g. CCNA & CCNP Routing: experience in BGP & OSPF configuring & troubleshooting Exposure on Silver Peak's Unity Orchestrator and Edge Connect SDWAN appliances. experience in supporting for Juniper MIST wireless network-related issues. Good knowledge on spine/leaf architecture, Overlay/Underlay network, VXLAN, EVPN. In-depth knowledge on configuring and optimizing Network device monitoring and alerting. Hands-on experience with Cloud networking with the public cloud. VMware networking and virtualization technologies. Network monitoring technologies and SNMP management (PRTG, Syslog, Kentik, Thruk, Thousand Eyes, Grafana & Prometheus etc.) Drive the Automation of network related activities across Deployment and Operations. Ability to read, investigate, evaluate, and interpret security related logs from disparate sources. Create and review alerts generated by the SIEM for false positives, modify and optimize alerts as needed to reduce noise. Develop and follow detailed operational processes, procedures, and playbooks to appropriately analyze, escalate and assist in the remediation of information security related incidents. Develop deep expertise regarding the current the SIEM platform. Assist in the administration, maintenance, and optimization of the current the SIEM platform. Develop advanced queries and alerts to detect adversary actions. Contribute to incident and root cause analysis reports. Other Skills: Should possess excellent communication skills. Ability to participate in Global change control meetings, manager approvals from stake holders, follow processes and implement enterprise network changes. Work with internal and external technical and service teams to provide break-fix. create and/or update knowledge base articles. Support 24 x 7 operational environments with high uptime requirements. Varied shift schedules may include day or evening hours. Provide timely response to all incidents, outages, and performance alerts. Categorize issues for escalation to appropriate technical teams. Recognize, identify, and prioritize incidents in accordance with customer business requirements, organizational policies, and operational impact. Hands-on experience on any automation/ scripting tools or languages Other duties as assigned.,
You are a talented and experienced Senior Fullstack Engineer responsible for designing, developing, and maintaining robust and scalable AI-powered web applications with a strong focus on frontend development (60-70%) while also ensuring solid backend capabilities. You will collaborate closely with product managers, designers, and other engineers to create next-generation AI experiences like chat interfaces, LLM integrations, and intelligent user interactions. Your deep JavaScript expertise, strong React ecosystem knowledge, experience with AI/LLM technologies, and passion for building high-quality, maintainable solutions with cutting-edge AI capabilities are essential for this role. In this position, your responsibilities will include: - Building AI-powered chat applications, conversational interfaces, and intelligent user experiences - Designing and implementing complex AI workflows using technologies like LangGraph and multi-agentic architectures - Implementing monitoring, logging, and performance tracking for AI/LLM integrations - Designing, developing, and maintaining responsive web applications using React, Next.js, and TypeScript - Making strategic technical decisions about AI application structure, data flow patterns, and scalability solutions - Optimizing Core Web Vitals, bundle analysis, rendering performance, and AI response times - Developing and consuming RESTful APIs, GraphQL services, and LLM APIs with proper error handling and state management - Conducting code reviews, mentoring junior developers, and establishing frontend development standards - Translating business requirements into technical solutions and feasibility assessments - Developing comprehensive automated unit, integration, and end-to-end tests - Debugging complex production issues, memory leaks, race conditions, and cross-browser inconsistencies - Implementing authentication flows, XSS prevention, data privacy, and AI safety measures - Building and maintaining Node.js/Express.js APIs, database integrations, and AI service orchestration Requirements: - Bachelor's degree in Computer Science, Engineering, or related field - 5-8 years of experience in fullstack development with a frontend focus - Proven experience in building chat applications and conversational interfaces - Experience integrating with AI/ML APIs and LLM frameworks - Strong analytical, problem-solving, and technical communication skills - Excellent collaboration abilities and experience working in cross-functional teams Core Technical Expertise: Frontend Technologies: - Advanced JavaScript (ES6+, closures, prototypes, async patterns, event loop, browser APIs) - React.js with hooks, context, and modern patterns - Next.js including SSR, SSG, and App Router - TypeScript with deep understanding of type system - Component libraries (Ant Design or Material-UI) - State management solutions (Redux, React Query) Backend & Data: - Node.js & Express.js for API development - Database technologies (PostgreSQL, MongoDB, or MySQL) - RESTful APIs and GraphQL services AI/LLM Integration: - OpenAI APIs, LangChain, or similar frameworks - Streaming AI responses and error handling - Performance optimization for AI applications - Multi-agent system implementation Development Practices & Tools: - Modern testing frameworks (Jest, React Testing Library, Cypress) - Performance monitoring and debugging tools - Git version control and collaborative workflows - CI/CD pipelines and deployment automation - System architecture patterns and scalable application design - Security best practices including authentication flows and XSS prevention Performance & Optimization: - Core Web Vitals optimization - Bundle analysis and rendering performance - Memory management and browser-specific optimizations - Cross-browser compatibility and debugging Other Mandatory Requirements: - Experience in a product company, focusing on enterprise products with significant business impact or user base - Expertise in Python or JavaScript (Frontend or Backend) - Candidates must be based in Bangalore,
We are a Rakuten Group company, providing global B2B services for the mobile telco industry and enabling next-generation, cloud-based, international mobile services. Building on the technology Rakuten used to launch Japan’s newest mobile network, we are now taking our mobile offering global! To support our ambitions to provide an innovative cloud-native telco platform for our customers, we are looking to recruit and develop top talent from Digital Product Management. Let’s build the future of mobile telecommunications together! Job Title Technical lead- QA Location: Bangalore Job Description Job Description: Lead Automation Quality Engineer We are seeking a Lead Automation Quality Engineer with a minimum of 6 years of experience in Software Testing or a related industry. The successful candidate will have a strong background in testing tools such as Jira, TestRail, Git, Appium, Selenium, Rest Assured, TestNG, Cucumber, CI/CD pipelines, and others. Key Responsibilities: 1. Utilize automated testing tools to validate software products and applications. 2. Work closely with programming languages like Java (preferably) or Python. 3. Apply analytical and problem-solving skills to troubleshoot and resolve issues. 4. Engage in Agile process management methodology. 5. Collaborate effectively with remote teams located in multiple countries. 6. Determine the appropriate automated testing tools for the given problem statements. 7. Conduct Performance & Security Testing. 8. Proficient in using Linux/Unix commands. Qualifications: 1. Minimum of 6+ years of experience in Software Testing or relevant industry. 2. Extensive experience with testing tools such as Jira, TestRail, Git, Appium, Selenium, Rest Assured, TestNG, Cucumber, CI/CD pipelines, etc. 3. Experience with programming languages like Java (preferably) / Python. 4. Solid analytical and problem-solving skills. 5. Experience with Agile process management methodology. 6. Excellent interpersonal and communication skills. 7. Ability to select appropriate automated testing tools for given problem statements. 8. Knowledge of Performance & Security Testing. 9. Familiarity with Linux/Unix commands. 10. Experience with automation and MySQL/Mango Database is a plus. The Lead Automation Quality Engineer will play a crucial role in our team, ensuring the quality and reliability of our software products. If you are passionate about software quality and automation, we would love to hear from you. “Rakuten is committed to cultivating and preserving a culture of inclusion and connectedness. We are able to grow and learn better together with a diverse team and inclusive workforce. The collective sum of the individual differences, life experiences, knowledge, innovation, self-expression, and talent that our employees invest in their work represents not only part of our culture, but our reputation and Rakuten’s achievement as well. In recruiting for our team, we welcome the unique contributions that you can bring in terms of their education, opinions, culture, ethnicity, race, sex, gender identity and expression, nation of origin, age, languages spoken, veteran’s status, color, religion, disability, sexual orientation and beliefs”
You will be joining a Rakuten Group company, specializing in providing global B2B services for the mobile telco industry and facilitating next-generation, cloud-based international mobile services. Leveraging the cutting-edge technology utilized by Rakuten to launch Japan's latest mobile network, we are now expanding our mobile services on a global scale. To support our vision of offering an innovative cloud-native telco platform for our clients, we are in search of exceptional talent in Digital Product Management. Come, let's collaborate and shape the future of mobile telecommunications together! As a Lead Automation Quality Engineer, you will bring a minimum of 6 years of experience in Software Testing or a related field to the table. Your expertise will encompass proficiency in testing tools like Jira, TestRail, Git, Appium, Selenium, Rest Assured, TestNG, Cucumber, CI/CD pipelines, and more. Your primary responsibilities will include utilizing automated testing tools to validate software products and applications, collaborating with programming languages like Java or Python, applying analytical and problem-solving skills to troubleshoot and resolve issues, engaging in Agile process management methodology, effectively collaborating with remote teams across multiple countries, determining the appropriate automated testing tools for specific problem statements, conducting Performance & Security Testing, and demonstrating proficiency in using Linux/Unix commands. In addition to the above, you should possess qualifications such as a minimum of 6+ years of experience in Software Testing or a relevant industry, extensive knowledge of testing tools like Jira, TestRail, Git, Appium, Selenium, Rest Assured, TestNG, Cucumber, CI/CD pipelines, familiarity with programming languages like Java or Python, strong analytical and problem-solving capabilities, experience with Agile process management methodology, excellent interpersonal and communication skills, the ability to select suitable automated testing tools for given problem statements, knowledge of Performance & Security Testing, familiarity with Linux/Unix commands, and experience with automation and MySQL/Mango Database will be considered a plus. As the Lead Automation Quality Engineer, you will hold a pivotal role within our team, ensuring the quality and reliability of our software products. If you are enthusiastic about software quality and automation, we are excited to connect with you.,
Rakuten India is the Development Centre and key technology hub of the Rakuten Group, Inc. We enable our businesses with our depth of knowledge in multiple streams of technology such as Mobile and Web Development, Web Analytics, Platform Development, Backend Engineering, Data Science, Machine Learning, Artificial Intelligence and much more. Our unique 24/7 support center ensures reliability and sustenance of the Rakuten Ecosystem. With dedicated centres of excellence for Mobile Application Development, Data Analytics, Engineering, DevOps and Information Security, we ensure the success of multiple units of Rakuten Group, Inc. With 1700+ employees and growing, Rakuten India is housed in Crimson House Bangalore in the heart of the city. The Role At RIEPL – We are looking for software Architect who is having experience range 12-16 years on Distributed Systems, Cloud Native, Micro service Architecture. Key Responsibilities: Leads the architectural vision for large-scale product and system design using modern technology stacks with a core focus on reusability, scalability, and performance at scale Leads a team of Backend, Front-end and Full Stack engineers in the implementation of highly scalable, secure production systems Collaborates with Product and Engineering stakeholders to design and build platform services that meet key product and infrastructure requirements Produces both high-level and detailed designs for platform-level services Authors clean, scalable, modular, secure, well-structured, and testable code Designs and implements microservices with thoughtfully defined APIs Clearly communicates architectural decisions, roadblocks, and timelines to key stakeholders Adheres to all industry best practices and standards for Agile/Scrum Frameworks adopted by the Organization including but not limited to daily stand-ups, grooming, planning, retrospectives, sprint reviews, demos, and analytics via systems (JIRA) administration to directly support initiatives set by Product Management and the Organization at large Technical skill you should have Candidate Should have at least total 12 to 16 years of experience in IT 3+ experience as an Architect in building distributed, highly available and scalable, microservice-based Cloud Native architecture Experience with Functional (Java 8) and Object-Oriented (Core Java) programming paradigms Experience in one or more open-source Java frameworks such as Spring Boot, Spring Batch, Quartz, Spring Cloud, Spring Security, BPM, etc. Experience with at least one type messaging system (Apache Kafka (Required), RabbitMQ) Experience with at least one RDBMS (MySQL, PostgreSQL, Oracle) Experience with at least one document-oriented DB (MongoDB, Preferably Couchbase DB) Experience with NoSQL DB Elasticsearch Experience with developing Microservices and SaaS products Good understanding of automation and CI/CD (test and build automation) Proficient in creating design documents including HLD and LLD documents with UML Good Exposure on Design Patterns, Microservices Architecture Design patterns Experience working with observability/monitoring framework (Prometheus/Grafana, ELK) along with any APM tool Ability to conceptualize end-to-end system components across a wide range of technologies and translate into architectural design patterns for implementation Knowledge of security systems like Oauth 2, Keyclaok and SAML Experience with microservice architecture and 12 factor application Familiarity with source code version control systems like Git/SVN Experience using, designing, and building REST/GRPC/ GraphQL/Web Service APIs Production experience with container orchestration (Docker, Kubernetes) and maintaining production environments Good understanding of public clouds GCP, AWS Etc Familiar with OWASP Having experience in Telecom BSS (Business Support System) is added advantage “Rakuten is committed to cultivating and preserving a culture of inclusion and connectedness. We are able to grow and learn better together with a diverse team and inclusive workforce. The collective sum of the individual differences, life experiences, knowledge, innovation, self-expression, and talent that our employees invest in their work represents not only part of our culture, but our reputation and Rakuten’s achievement as well. In recruiting for our team, we welcome the unique contributions that you can bring in terms of their education, opinions, culture, ethnicity, race, sex, gender identity and expression, nation of origin, age, languages spoken, veteran’s status, color, religion, disability, sexual orientation and beliefs”
Are you interested in working for a Global Leader in E-commerce Do you find excitement in working on highly scalable platforms and applications that are accessed by millions of users every day If your answer is yes, then this opportunity might be just for you. Founded in 1997, Rakuten Group is headquartered in Tokyo and has over 14,000 employees worldwide. Initially the largest eCommerce company in Japan, Rakuten has now evolved into one of the largest internet conglomerates in Japan, offering over 70 services worldwide, including Fintech businesses and mobile carrier services. Rakuten's vision is to become the world's biggest membership company, providing employees with opportunities to grow in a dynamic and innovative environment. We are currently looking for a highly motivated and experienced Pre-Sales Engineer to lead the technical sales process for our Data Science, Machine Learning, and AI solutions. The ideal candidate will have a strong grasp of data science principles, machine learning algorithms, and AI technologies, along with exceptional communication and presentation skills. Your role will involve understanding customer needs, showcasing the value of our solutions, and establishing strong relationships with potential clients. As an individual contributor, you will collaborate closely with the sales and product teams to drive revenue growth through your technical expertise. **Responsibilities:** **Technical Sales Expertise:** - Act as the primary technical point of contact for potential clients during the sales process. - Identify customer business challenges and translate them into technical solutions using our Data Science, ML, and AI offerings. - Create and deliver engaging presentations, demonstrations, and proof-of-concept projects to highlight the benefits of our solutions. - Address technical inquiries and RFPs/RFIs with clear and accurate information. - Conduct comprehensive needs assessments and discovery sessions to understand client requirements. - Articulate the technical value proposition of our solutions and distinguish them from competitors. **Solution Development & Customization:** - Collaborate with product and engineering teams to customize solutions to meet specific customer needs. - Develop tailored demos and POCs to showcase our platform's capabilities. - Provide feedback to the product team regarding market trends and customer requirements to shape product roadmap decisions. **Sales Enablement:** - Develop and maintain sales collateral, including presentations, demos, case studies, and white papers. - Train the sales team on the technical aspects of our solutions and effective communication of their value. - Stay updated on the latest advancements in Data Science, Machine Learning, and AI technologies. **Relationship Building:** - Establish and maintain strong relationships with key technical stakeholders at potential client organizations. - Represent the company at industry events and conferences. **Sales Strategy & Execution:** - Contribute to the development of sales strategies and tactics to meet revenue targets. - Monitor and report on pre-sales activities and performance metrics. - Collaborate closely with the sales team to qualify leads and close deals. **Qualifications:** **Experience:** - 5+ years of experience in a pre-sales, sales engineering, or consulting role focused on Data Science, Machine Learning, and AI solutions. - Proven track record of effectively supporting technical sales engagements and contributing to deal closures. **Technical Skills:** - Profound understanding of data science principles, machine learning algorithms, and AI technologies. - Proficiency in programming languages like Python and R. - Familiarity with data visualization tools such as Tableau or Power BI. - Experience with cloud computing platforms like AWS, Azure, or GCP. - Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. - Knowledge of database technologies like SQL and NoSQL. **Soft Skills:** - Excellent communication, presentation, and interpersonal skills. - Ability to simplify complex technical concepts for both technical and non-technical audiences. - Strong problem-solving and analytical abilities. - Capability to work independently as well as part of a team. - Sound business acumen and comprehension of sales processes. **Note:** Preferably looking for candidates who can join immediately or with a 15 days" notice period. Rakuten is a global group of companies with offices around the world. By applying to us, your application may be considered for roles in our various offices based on interest and competence. Rest assured that any information shared about you will remain confidential as per Rakuten group's candidate selection and recruitment procedures.,
About the Company Company Overview - Rakuten Group Founded in 1997, Rakuten Group, headquartered in Tokyo, is a global leader in internet services, boasting over 14,000 employees worldwide. What began as Japan's largest e-commerce company has evolved into one of the nation's premier internet conglomerates, offering over 70 diverse services globally. These services span across various sectors, including FinTech (Card, Securities, Bank, and Insurance), and a newly established mobile carrier business, positioning Rakuten as the 4th carrier in Japan. Rakuten's overarching vision is to become the world's largest membership company. The organization fosters a dynamic and innovative environment, blending the opportunities for growth inherent in a large corporation with the entrepreneurial spirit of a startup. Rakuten's global footprint extends across six continents and multiple industries. A key strategic pillar for Rakuten's future growth and innovation is its unwavering focus on "AI-nization" across all its services. Company Overview - Rakuten India Development Centre (RIEPL) Rakuten India Development Centre (RIEPL) stands as Rakuten's second-largest technology hub outside of Japan. RIEPL plays a crucial role in enabling and building platforms for global e-commerce, payments, digital services, AI, and data science services worldwide. As a vital research and development center, RIEPL is experiencing continuous growth, currently employing over 1500 professionals. AI & Data Division (AIDD) and AIDD India Rakuten's AI & Data Division (AIDD) is at the forefront of the company's transformative journey, spearheading cutting-edge research and the large-scale deployment of advanced AI technologies. This includes Large Language Models (LLMs), Generative AI, Conversational AI, and sophisticated Data Analytics. By leveraging AI-powered automation, intelligent search, and predictive analytics, AIDD is dedicated to building scalable, high-impact solutions. These solutions are designed to enhance customer interactions, optimize business processes, and unlock new opportunities across the entire Rakuten ecosystem. AIDD India, a significant part of the global AIDD team, has made substantial contributions across multiple areas of Research, Engineering, and Services. The team has been instrumental in driving innovation. AIDD India's expertise spans from fundamental AI research to the engineering and deployment of complex AI systems, directly impacting Rakuten's diverse service offerings. About the Role You’ll build and operate the data pipelines that power our LLM-based agents—everything from document/knowledge ingestion and vector indexing to agent telemetry, evaluation datasets, and safety/PII workflows. You’ll partner closely with ML/Agent researchers, engineers, and product to ensure our agents are accurate, reliable, safe, and cost-effective at scale. Responsibilities Build and maintain batch/streaming pipelines for: Knowledge ingestion and chunking/embedding Vector indexing/re-indexing and freshness SLAs Agent telemetry (traces, tool calls, prompts/responses, cost/latency) Offline eval datasets and golden sets Implement retrieval/RAG workflows: schema design, chunking strategies, reranking, metadata enrichment Own core agent analytics models (e.g., retrieval hit rate, hallucination proxies, tool success) Partner with ML/Agent teams on prompt/versioning, eval harnesses, caching Contribute to CI/CD, testing, and cost monitoring for data/vector infra Qualifications 4+ years in data or analytics engineering with strong SQL and Python Strong experience in LLM app dev and observability with at least one of LangSmith, Langfuse, or similar for tracing, debugging, evaluations, prompt/version management, and basic production monitoring Hands-on with a retrieval stack using LangGraph or LlamaIndex (or equivalent custom framework) Experience with vector databases (e.g., Pinecone, Milvus, FAISS) and embedding pipelines Familiarity with core LLM/RAG concepts (chunking, embeddings, reranking, caching, prompt versioning, tool calling) Required Skills Experience with a modern data warehouse (e.g., BigQuery or Redshift) and an orchestrator (e.g., Airflow or equivalent) Experience with data lakes (S3/GCS) and ETL/ELT tooling (dbt or equivalent) Practical containerization skills (Docker and Kubernetes) ```
You are a highly skilled and motivated AI Tech Lead sought by Rakuten, a global internet service company offering a wide range of services to approximately 1.4 billion customers worldwide. Your primary responsibility will be to develop and scale next-generation AI-driven platforms, particularly e-commerce catalog systems, by integrating cutting-edge AI technologies such as Large Language Models (LLMs). To excel in this role, you should possess a strong background in backend engineering, Artificial Intelligence (AI), Data Science, and Machine Learning (ML), with a focus on designing, developing, and deploying end-to-end ML pipelines and AI-driven solutions. This position requires a combination of technical leadership, backend development, and AI/ML expertise to create data-intensive solutions for various business use cases. As the AI Tech Lead, your key responsibilities will include: Leading the design, development, and deployment of scalable, production-grade platforms for AI-driven applications, particularly e-commerce catalog operations. Defining architectural standards for backend systems to ensure scalability, fault tolerance, and maintainability. Providing mentorship to the engineering team to foster technical excellence and best practices. Driving cross-functional collaboration to align technical solutions with business objectives. Designing and implementing solutions utilizing Large Language Models (LLMs) such as OpenAI GPT APIs, LLAMA2/LLAMA3, or similar frameworks. Fine-tuning and optimizing LLMs for performance, accuracy, and relevance in applications like conversational AI, catalog optimization, and personalization. Building and maintaining Retrieval-Augmented Generation (RAG) systems and vectorized databases for enhanced AI capabilities. Collaborating with data science teams to deploy AI/ML models for predictive analytics, intent classification, Named Entity Recognition (NER), and other NLP tasks. Developing and maintaining robust backend systems using Java, Python, and frameworks like Spring Boot, FastAPI, Django, and Flask. Creating APIs and microservices to handle high volumes of data in real-time with low latency. Optimizing platform performance to support large-scale catalogs and global user traffic. Ensuring high availability and fault tolerance for critical operations. Working with data engineers to design and optimize data pipelines, ensuring the availability and quality of training datasets. Developing scalable systems to process and store large volumes of data using big data technologies like Hadoop, Spark, or Kafka. Leveraging advanced tools like MLflow, Prefect, and AWS Sagemaker for efficient model training, deployment, and monitoring. Deploying and managing backend services and ML models on cloud platforms like AWS, GCP, or Azure. Setting up and optimizing CI/CD pipelines for seamless deployments and updates. Monitoring system and model performance to ensure smooth operations and rapid troubleshooting. Utilizing containerization tools like Docker and Kubernetes for scalable deployments. Partnering with product management, business development, and engineering teams to define platform requirements and AI/ML solutions. Communicating complex technical concepts to non-technical stakeholders effectively. Staying updated on industry trends in AI, ML, and backend development to drive innovation. To qualify for this role, you should have: Minimum 8 years of experience in backend development, with expertise in Java, Python, Spring Boot, microservices, and RESTful APIs. Experience in designing and scaling production-grade platforms for high-volume applications. Proficiency in integrating LLMs like OpenAI GPT, LLAMA2/LLAMA3, and frameworks such as Hugging Face Transformers. Hands-on experience with TensorFlow, PyTorch, or similar tools. Strong knowledge of big data technologies like Hadoop, Spark, or Kafka. Familiarity with RAG systems, vectorized databases, and retrieval-based AI. Proven experience with cloud platforms (AWS, Azure, GCP) and containerization tools like Docker and Kubernetes. Expertise in CI/CD pipelines and system monitoring.,
About the Role: We are seeking a highly organized and proactive professional with 4-7 years of experience in program management and executive assistance. This hybrid role demands strong project leadership capabilities alongside the ability to provide high-level administrative support to senior executives. The ideal candidate will have excellent communication skills, attention to detail, and the ability to manage multiple priorities in a fast-paced environment. Key Responsibilities: Program Management: Plan, coordinate, and oversee cross-functional programs and projects from initiation through delivery. Define project scope, objectives, timelines, and resource allocation. Track progress, identify risks and issues, and implement mitigation strategies. Collaborate with stakeholders to ensure alignment and successful project outcomes. Develop and maintain project documentation including schedules, reports, and dashboards. Facilitate meetings, prepare agendas, and document key decisions and action items. Monitor program budgets and timelines to ensure adherence. Executive Assistance: Provide comprehensive administrative support to senior executives, including calendar management, travel arrangements, and meeting coordination. Screen, prioritize, and manage incoming communications and requests. Prepare presentations, reports, and correspondence on behalf of executives. Coordinate logistics for executive-level meetings, events, and off-site activities. Act as a liaison between executives, internal teams, and external partners. Handle confidential and sensitive information with discretion. Qualifications: Bachelor’s degree in Business Administration, Management, or related field preferred. 4-7 years of experience combining program/project management and executive assistant roles. Strong organizational and multitasking skills. Proficient with project management tools (e.g., MS Project, Asana, Jira) and office productivity software (MS Office, Google Workspace). Excellent verbal and written communication skills. Ability to work independently and collaboratively in a dynamic environment. Strong problem-solving and decision-making abilities. High level of professionalism and discretion.
As a Senior Network DevOps Engineer at Rakuten India, you will leverage your 6+ years of experience to design, implement, and maintain robust network infrastructure solutions that support the organization's operational needs. Your role will involve collaborating with cross-functional teams to gather requirements, assess system limitations, and provide scalable network solutions. You will be responsible for automating network provisioning, configuration, and monitoring processes to enhance operational efficiency. Additionally, you will develop and maintain CI/CD pipelines for network infrastructure, ensuring seamless deployment and integration. Your expertise will be crucial in troubleshooting and resolving complex network automation-related issues to ensure high availability and optimal performance. You will also create and maintain monitoring systems to guarantee high availability and performance for software applications. To excel in this role, you should hold a Bachelor's degree in Computer Science, Information Technology, or a related field. Your proven experience as a Network DevOps Engineer, with a focus on designing and implementing scalable and secure network solutions, will be invaluable. Strong proficiency in automation tools and scripting languages such as Ansible, Python, and Jenkins for network configuration and deployment is essential. In-depth knowledge of networking protocols, security principles, and infrastructure as code (IaC) concepts is required. Experience or knowledge with cloud platforms like AWS, Azure, and GCP will be beneficial. Familiarity with Cisco ASR, Nexus, Catalyst, Juniper SRX, Cumulus automation, as well as monitoring tools like Grafana, Kentik, Elastic, and Kibana, will be advantageous. Furthermore, having relevant certifications such as CCNP, DevNet, or AWS Certified DevOps Engineer would be a plus. Excellent communication and collaboration skills are essential, enabling you to work effectively in a team environment. By staying abreast of industry trends, emerging technologies, and best practices, you will continuously improve network infrastructure to ensure the success of Rakuten India's operations.,