18,844 Sap Architecture Jobs in Chandragiri

**Job Description** **Role Overview** At Upstep Academy, you will be a Senior Web Frontend Developer (React.js), playing a crucial role in shaping the platforms user interface and front-end architecture. Your responsibilities include developing high-quality, responsive UIs, implementing interactive features, integrating real-time APIs, writing clean and reusable code, collaborating with cross-functional teams, and optimizing applications for speed and responsiveness. **Key Responsibilities** - Develop high-quality, responsive, and performant UIs using React.js + TypeScript (Next.js) - Implement interactive and real-time features such as chessboards, puzzles, timers, and live coaching dashboards - Integrate real-time APIs and WebSockets for smooth gameplay and learning experiences - Write clean, reusable, and testable code with a focus on scalability and maintainability - Collaborate with product managers, designers, and backend engineers to deliver features end-to-end - Optimize applications for speed, responsiveness, and smooth animations **Qualifications Required** - 4-10 years of proven experience in frontend development - Strong expertise in React.js, JavaScript (ES6+), HTML5, CSS3 - Solid understanding of responsive design and performance optimization - Experience in collaborating within agile development teams - Familiarity with Git, CI/CD pipelines, and modern development workflows **Additional Details** Upstep Academy is not just another coaching institute; they are building a next-generation online chess platform that combines education, gaming, and technology. The company's vision is to create an ecosystem where learners can play, train, and grow with interactive lessons, real-time coaching, performance analytics, gamification, and global leaderboards. **Why Join Us ** - Opportunity to build a product with global potential - Fast-paced startup culture with ownership, autonomy, and zero bureaucracy - Blend of technology, education, and gaming for impact - Competitive compensation, flexible culture, and passionate founding team - Redefine chess learning for the next generation.,

As a software developer, you will be responsible for developing and maintaining scalable software solutions to meet business requirements. Your key responsibilities will include: - Developing and maintaining scalable software solutions using Docker Container Mockito and GITHUB. - Implementing and managing containerized applications using Docker Hub and Container Registry. - Designing and integrating APIs with API Gateway focusing on robust Authentication & Authorization mechanisms. - Utilizing Netflix Hystrix and Eureka for building resilient microservices architecture. - Applying Apache Log4J for logging and monitoring to enhance system reliability and performance. - Leveraging Spring Cloud and Spring Boot to create cloud-native applications that are scalable and maintainable. - Administering Docker environments to optimize application performance and resource utilization. - Implementing security measures using JSON Web Token to protect sensitive data. - Utilizing Redis for caching and data storage solutions to improve application response times. - Employing Gradle for build automation to ensure consistent and efficient software builds. - Integrating EHCache for caching strategies to enhance application performance. - Using Spring Integration for seamless communication between different systems and services. - Developing applications using Java JSON and Spring MVC to deliver robust software solutions. - Implementing and testing Rest API and SOAP services using Junit to ensure high-quality software delivery. - Utilizing Spring Framework for building enterprise-level applications. - Working in Eclipse and IntelliJ IDEA environments to develop and debug software applications. - Managing project dependencies using Maven to streamline the build process. You should possess strong technical skills in Docker Container, Mockito, GITHUB, and related technologies. Additionally, you should exhibit proficiency in English for effective communication and collaboration. A solid understanding of software development best practices and methodologies is required. You should also be able to work effectively in a hybrid work model, balancing remote and in-office work. Strong problem-solving skills, the ability to troubleshoot complex issues, and the capability to work independently and as part of a team are essential for this role. Certifications Required: - Certified Kubernetes Administrator (CKA) - Docker Certified Associate - Spring Professional Certification,

Role Overview: As a Product Engineer specializing in Big Data, your main responsibility will be to design, build, and optimize large-scale data processing pipelines using modern Big Data technologies. You will be working closely with data scientists, analysts, and product managers to ensure data accessibility, security, and reliability. Your primary focus will be on delivering scalable, high-quality data solutions while continuously striving for improvements across the data lifecycle. Key Responsibilities: - ETL Pipeline Development & Optimization: - Design and implement complex, end-to-end ETL pipelines for large-scale data ingestion and processing. - Optimize the performance, scalability, and resilience of data pipelines. - Big Data Processing: - Develop and optimize real-time and batch data workflows using Apache Spark, Scala/PySpark, and Apache Kafka. - Ensure fault-tolerant, high-performance data processing. - Knowledge of Java and NoSQL is a plus. - Cloud Infrastructure Development: - Build scalable, cost-efficient cloud-based data infrastructure leveraging AWS services. - Ensure pipelines are resilient to variations in data volume, velocity, and variety. - Data Analysis & Insights: - Collaborate with business teams and data scientists to deliver high-quality datasets aligned with business needs. - Conduct data analysis to uncover trends, anomalies, and actionable insights. - Present findings clearly to technical and non-technical stakeholders. - Real-time & Batch Data Integration: - Enable seamless integration of real-time streaming and batch datasets from systems like AWS MSK. - Ensure consistency and reliability across data ingestion sources and formats. - CI/CD & Automation: - Utilize Jenkins (or similar tools) to implement CI/CD pipelines. - Automate testing, deployment, and monitoring of data solutions. - Data Security & Compliance: - Ensure pipelines comply with relevant data governance and regulatory frameworks (e.g., GDPR, HIPAA). - Implement controls for data integrity, security, and traceability. - Collaboration & Cross-Functional Work: - Partner with engineers, product managers, and data teams in an Agile environment. - Contribute to sprint planning, architectural discussions, and solution design. - Troubleshooting & Performance Tuning: - Identify and resolve bottlenecks in data pipelines. - Conduct performance tuning and adopt best practices for ingestion, processing, and storage. Qualifications Required: - 4-8 years of hands-on experience in Big Data engineering, cloud data platforms, and large-scale data processing. - Proven experience in delivering scalable data solutions in production environments. Additional Details: The company expects you to have expertise in AWS services such as EMR, Managed Apache Airflow, Glue, S3, DMS, MSK, EC2, and cloud-native data architectures. Proficiency in PySpark/Scala Spark and SQL, along with experience in Apache Spark, Kafka, and large-scale data processing is mandatory. Strong knowledge of Spark DataFrames and Datasets, database modeling, ETL pipeline development, data analysis, CI/CD & automation are essential skills. Familiarity with data governance frameworks, monitoring tools, Java, NoSQL databases, and cost optimization strategies in cloud environments are considered good-to-have skills.,

As a Data and Analytics Engineering Lead at our fast-growing product-based organization in Pune, your role will involve developing a comprehensive technical plan for migration, focusing on data ingestion, transformation, storage, and access control in Azure's Data Factory and data lake. Key Responsibilities: - Develop a detailed technical plan for migration, encompassing data ingestion, transformation, storage, and access control in Azure's Data Factory and data lake. - Lead enterprise-scale implementations of Microsoft Intune, JAMF, or VMware Workspace ONE for endpoint and MDM architecture. - Ensure modern device management, identity federation, and endpoint security best practices are implemented effectively. - Influence senior stakeholders to align technology roadmaps with business goals. - Manage hybrid and remote workforce device strategies at scale. - Familiarity with ITIL and Agile delivery frameworks. - Understanding of compliance frameworks (e.g., HIPAA, GDPR, SOX) and their implications on device management. Qualifications Required: - Bachelor's or Master's degree in Computer Science, Information Systems, or related field. - Minimum of 10 years of experience in IT, with at least 5 years in a strategic or managerial role in endpoint and MDM architecture. - Proven experience in leading enterprise-scale implementations of Microsoft Intune, JAMF, or VMware Workspace ONE. - Certifications such as Microsoft Certified: Endpoint Architect Expert, JAMF Certified Expert, CISSP, or TOGAF. - Experience in managing hybrid and remote workforce device strategies at scale. - Strong knowledge of compliance frameworks and their relation to device management. Join us in Baner, Pune and be part of a dynamic team where your expertise in data and analytics engineering will be valued and put to good use.,