AWS Jobs

Manage Amazon India, Amazon Global, Flipkart, and Quick Commerce platforms.Assist in managing online orders & fulfillment.Handle product listings, catalogue optimization,pricing, and inventory updates.Manage Amazon FBA export shipments with fullcompliance and documentationPlan and optimize advertising campaigns (AmazonPPC, marketplace ads).Analyze sales data, prepare reports, and developgrowth strategies.Act as a strong problem solver for listing issues,fulfilment challenges, account health alerts, andoperational bottlenecks.Coordinate with warehouse, logistics, design, andcustomer service teams.Support team operations and ensure smoothworkflow.Fore more information 9227062063

Job Title: Executive, IT, DevelopmentStatement of the JobThis position will be responsible for the development and maintenance of applications as per the Business requirement for the Shared Service center organization. He/she will be responsible for coding, debug, unit test systems per requirements, technical design and prepare /update documentation for all Systems and applications developed. His/her job duties include Support, refactor and enhance an existing production system.Job Description4 to 8 years

Key Responsibilities: Design, develop, and maintain applications usingScalaand related frameworks such asAkkaincluding Akka HTTP, Akka Actor, Akka Stream. Build and integrateRESTful APIsto support scalable and high-performance applications. Work withmessaging queues: Kafkafor event-driven and distributed system communication. Develop and manage data solutions usingSQL and NoSQL databases, ensuring efficient datastorage and retrieval,Mongo DB is must. Implement and manageElasticsearchfor search functionality, indexing, and performanceoptimization. Applysoftware design patterns and development principlesto ensure clean, scalable, andmaintainable code. Collaborate with cross-functional teams in anAgile environment, participating in sprint planning,development, and review meetings. UseGit for version controland follow best practices for code quality and documentation. Analyze, debug, and troubleshoot technical issues to deliver reliable and efficient solutions.Requirements: 3-5 years of hands-on experience in Scala development. Familiarity with Akka framework and REST API development. Exposure to SQL and NoSQL databases. Understanding of software design principles and patterns. Knowledge of Git or other version control tools. Strong problem-solving and analytical skills. Ability to work collaboratively in a team-oriented environment.

Key Responsibilities- Design, implement, and maintain DevOps technologies and processes, including analysis of current environments and selection of appropriate tools.- Develop and manage CI/CD pipelines for continuous integration, testing, and deployment across multiple applications.- Build automation solutions using Python and Shell scripting to streamline build, deployment, and operational tasks.- Implement infrastructure automation and configuration management using Ansible.- Integrate code quality, security, monitoring, and metrics tools into daily build and release pipelines.- Manage and support cloud-based production environments on AWS and/or Azure, including deployments and troubleshooting.- Work closely with development, QA, IT, and security teams to ensure adherence to DevOps standards and best practices.- Ensure compliance with defined organizational guidelines, processes, and delivery standards.- Coordinate activities of assigned team members and guide execution as per organizational objectives.________________________________________Required Skills & Experience- 4-6 years of overall IT/DevOps experience.- Strong hands-on experience in Python scripting and Python programming for automation, tooling, and integrations.- Solid understanding of DevOps principles and configuration management.- Proven experience in building CI/CD pipelines using Jenkins, Azure DevOps, and GitHub (YAML pipelines, vNext builds, scripted and freestyle Jenkins jobs).- Strong experience with Linux environments.- Hands-on experience with Cloud platforms (AWS and/or Azure), including managing production workloads.- Working experience with Kubernetes and container-based deployments.- Experience with Ansible for configuration management and infrastructure automation.- Hands-on administration of version control tools such as Git and Azure DevOps (ADO).- Experience with code quality and metrics tools such as SonarQube and TeamScale.- Strong experience in developing build workflows using Python, Shell, YAML, XAML, and TFS vNext.- Excellent analytical, debugging, and problem-solving skills.

Job Description Full Stack Developer (MEAN)Position: Software EngineerExperience: 1yrs to 5 yrsCompensation: Up to 9LPAOpenings: 10Employment Type: Full-timeJoining: Immediate JoinerAbout the RoleWe are looking for passionate and skilled Full Stack Developers to join our dynamic product engineeringteam. Youll work closely with architects, designers, and product managers to build high-quality,scalable, and performant web applications using Angular (v20) and Node.js (v22).As part of our agile team, youll contribute to developing new features, integrating microservices, andensuring seamless communication between multiple micro frontends. Youll also play an important rolein optimizing APIs, database structures, and improving overall application performance andmaintainability. We expect the candidate to provide us with 2 years commitment.Note: Candidates must have a demonstrable portfolio showcasing relevant projects, applications, ortechnical work.Key ResponsibilitiesFrontend Development (Angular 20) Develop, maintain, and optimize modern, responsive UI components using Angular v20. Implement reusable modules and micro frontends for scalable web architecture. Work with state management, routing, lazy loading, and Angular best practices. Collaborate with design teams to translate UI/UX wireframes into functional components. Ensure high performance, cross-browser compatibility, and accessibility standards.Backend Development (Node.js 22 / Hapi.js) Build and maintain RESTful and microservice-based APIs using Node.js and Hapi.js. Integrate APIs with PostgreSQL databases and Redis-based caching systems. Implement authentication, authorization, and role-based access control. Manage background jobs, queues, and async processes where applicable. Ensure application security, scalability, and fault tolerance.Database & Data Handling Work with PostgreSQL for relational data modeling, query optimization, and migrations. Use Drizzle ORM for schema management and database operations. Maintain caching and session management using Redis.Architecture & Collaboration Contribute to design discussions on microservice and microfrontend architectures. Participate in sprint planning, code reviews, and daily stand-ups in an Agile environment. Collaborate with DevOps for CI/CD setup, version control (Git), and deployment pipelines. Debug production issues, optimize performance, and suggest improvements proactively.Required Skills & Experience Strong foundation in Angular (v1820), TypeScript, HTML5, and CSS3. Basic experience with Node.js, Express.js or Hapi.js. Understanding REST APIs, PostgreSQL, and Git. Exposure micro frontends or component-based architecture. Good debugging and problem-solving skills. Eagerness to learn new technologies and follow best coding practices.Technical StackCategory TechnologyFrontend Angular v20, TypeScript, RxJSBackend Node.js v22, Hapi.jsDatabase PostgreSQL, Drizzle ORMCaching RedisArchitecture Microservices, Micro FrontendsTools Git, CI/CD PipelinesMethodology Agile / ScrumSoft Skills Strong communication and collaboration skills. Ownership mindset ability to take a feature from concept to deployment. Team-oriented approach with a focus on quality and maintainability. Continuous learning attitude and willingness to explore new frameworks. Problem-solving and debugging under time constraints.What We Offer Opportunity to work on modern, scalable architecture and greenfield projects. Exposure end-to-end development across frontend, backend, and infrastructure. Collaborative environment with an emphasis on growth and innovation. Competitive compensation package based on experience. Mentorship and continuous learning culture.

A Java Developer is responsible for designing, developing, and maintaining Java-based applications. They collaborate with cross-functional teams to deliver high-quality software solutions.Key Responsibilities: - Design, develop, and maintain scalable Java-based applications using Spring Boot. - Implement microservices architecture and RESTful APIs for seamless integration. - Optimize application performance and troubleshoot issues in Java-based systems. - Work with databases (MySQL, PostgreSQL, or Oracle) using JPA/Hibernate. - Develop unit and integration tests to ensure application reliability. - Collaborate with front-end developers, DevOps teams, and business stakeholders. - Maintain security best practices in application development. - Participate in Agile development processes, including sprint planning and code reviews. Required Skills: - Strong proficiency in Java 8+ and Spring Boot framework. - Experience in RESTful API development, microservices architecture, and Spring Cloud. - Hands-on experience with JPA/Hibernate for database interaction. - Familiarity with Docker, Kubernetes, and CI/CD pipelines. - Proficiency in SQL and NoSQL databases (Oracle PLSQL, MySQL, PostgreSQL, MongoDB). - Good understanding of security best practices in Java applications. - Strong debugging and problem-solving skills. Preferred Skills: - Experience with front-end technologies (Angular, React, or Vue.js) is a plus. - Exposure to cloud platforms (AWS, Azure, or Google Cloud). - Familiarity with GraphQL and API Gateway tools. - Experience with message brokers (RabbitMQ, Kafka) is a plus. - Knowledge of Unit Testing frameworks (JUnit, Mockito).

Must have hands-on experience with MERN stackHave strong React.js/Node.js/Javascript fundamentalsExperience with modern front-end build pipelines and toolsGood to have experience with LAMP stack and framework like CakePHP, Laravel.Have worked on Microservice, WebSocket and REST APIExperience with building large scale distributed and real-time applicationExperience with MongoDB and MySQLExperience with Amazon AWS and Node.js Process deployments, PM2 process managerProper Knowledge of newer features like State Management, React Hooks, React Fragments etc.Ensure the technical feasibility of UI/UX designsExcellent debugging skillExperience leading a team of at least 5 peopleExcellent problem-solving skill and experimenting with new technologies to implement challenging features.Lead, Monitor and Control execution of sprint to be within timeframe and budget.Mentor and help the team with any issues

-- Mandatory Skills - Node JS, Express JS, AWS Lambda, API Gateway, Serverless, DynamoDB, No SQL Server etc.-- Experience - 6+ Yrs

Key Responsibilities Model Development: Lead the design and development of quantitative data engineeringmodels, including algorithms, data pipelines, and data processing systems, to supportbusiness requirements. Data Processing: Develop and maintain data processing pipelines to ingest, clean,transform, and aggregate large volumes of data from various sources, ensuring dataquality and reliability. Algorithm Development: Design and implement algorithms for data analysis, machinelearning, and statistical modeling, using techniques such as regression analysis,clustering, and predictive modeling. Performance Optimization: Identify and implement optimizations to improve theperformance and efficiency of data processing and modeling algorithms, consideringfactors like scalability and resource utilization. Data Visualization: Create visualizations of data and model outputs to communicateinsights and findings to stakeholders. Data Quality Assurance: Implement data quality checks and validation processes toensure the accuracy, completeness, and consistency of data used in models andanalyses. Model Evaluation: Evaluate the performance of data engineering models using metricsand validation techniques, and iterate on models to improve their accuracy andeffectiveness. Collaboration: Collaborate with data scientists, analysts, and business stakeholders tounderstand requirements, develop models, and deliver insights that drive businessdecisions. Documentation: Document the design, implementation, and evaluation of dataengineering models, including assumptions, methodologies, and results, to ensurereproducibility and transparency. Continuous Learning: Stay updated with the latest trends, tools, and technologies inquantitative data engineering and data science, and continuously improve your skillsand knowledge.Desired Skills and Experience Data Engineering: Strong background in data engineering principles, including dataingestion, data processing, data transformation, and data storage, using tools andframeworks such as Apache Spark, Apache Flink, or AWS Glue. Quantitative Analysis: Proficiency in quantitative analysis techniques, includingstatistical modeling, machine learning, and data mining, with experience inimplementing algorithms for regression analysis, clustering, classification, and predictivemodeling. Programming Languages: Proficiency in programming languages commonly used fordata engineering and quantitative analysis, such as Python, R, Java, or Scala, as well asexperience with SQL for data querying and manipulation. Big Data Technologies: Familiarity with big data technologies and platforms, such asHadoop, Apache Kafka, Apache Hive, or AWS EMR, for processing and analyzing largevolumes of data. Data Visualization: Experience in data visualization techniques and tools, such asMatplotlib, Seaborn, or Tableau, for creating visualizations of data and model outputs tocommunicate insights effectively. Machine Learning Frameworks: Familiarity with machine learning frameworks andlibraries, such as PyTorch for implementing and deploying machine learning models. Cloud Computing: Experience with cloud computing platforms, such as AWS, Azure, orGoogle Cloud Platform, and proficiency in using cloud services for data engineering andmodel deployment. Software Development: Strong software development skills, including proficiency insoftware design patterns, version control systems (e.g., Git), and software testingframeworks, to develop robust and maintainable code. Problem-solving Skills: Excellent problem-solving skills, with the ability to analyzecomplex data engineering and quantitative analysis problems, identify solutions, andimplement them effectively. Communication and Collaboration: Strong communication and collaboration skills, withthe ability to work effectively with cross-functional teams, including data scientists,analysts, and business stakeholders, to understand requirements and deliver solutions. Domain Knowledge: Domain knowledge in areas such as finance, healthcare, ormarketing, depending on the industry, to understand the context and requirements ofdata engineering models in specific domains. Continuous Learning: A commitment to continuous learning and staying updated withthe latest trends, tools, and technologies in data engineering, quantitative analysis, andmachine learning.