Role & responsibilities Design, develop, test, and maintain web applications using Java (Spring Boot) and frontend frameworks (Angular/React). Work with cross-functional teams to define, design, and deliver new features. Develop RESTful APIs and integrate with third-party services. Write clean, maintainable, and efficient code following best practices. Participate in code reviews, troubleshooting, and performance tuning. Collaborate with DevOps teams for CI/CD pipeline setup and cloud deployments. Ensure application security, scalability, and performance. Create technical documentation and contribute to knowledge-sharing sessions. Preferred candidate profile Technical Skills Required: Any of the Backend Technologies- Strong experience with Java, Spring Boot, Hibernate/JPA Experience in building RESTful APIs and microservices Understanding of RDBMS (MySQL/PostgreSQL/Oracle) and NoSQL (MongoDB) Any of the Frontend Technologies: Proficiency in Angular or React (TypeScript preferred) HTML5, CSS3, JavaScript, Responsive UI/UX development DevOps/Tools: Familiarity with Git, Jenkins, Maven/Gradle Experience with Docker, Kubernetes, and CI/CD pipelines is a plus Cloud platforms: AWS/Azure/GCP (preferred)

Role & responsibilities Full-stack ReactNative Developer (5-7 yrs): The Med. Full-stack ReactNative Developer will assist in the development and maintenance of the mobile app. This role requires experience with ReactNative, JavaScript, and TypeScript, as well as familiarity with backend technologies such as Node.js, Java, or Python. The ideal candidate should have a good understanding of mobile app development and be able to work effectively in a team environment to deliver robust solutions. Sr. Full-stack ReactNative Developer (7-9 yrs) : The Sr. Full-stack ReactNative Developer will be responsible for developing and maintaining the mobile app using ReactNative. This role requires strong proficiency in ReactNative, JavaScript, and TypeScript, as well as experience with backend technologies such as Node.js, Java, or Python. The ideal candidate should have a solid understanding of mobile app development, RESTful APIs, and cloud services. They should also be able to work collaboratively with the development team to deliver high-quality solutions. Preferred candidate profile Frontend / Mobile Development React Native (Advanced) Core framework for cross-platform mobile app development. JavaScript & TypeScript – Strong proficiency and deep understanding of modern JavaScript (ES6+) and statically typed code using TypeScript. Mobile UI/UX Development – Knowledge of responsive design, platform-specific UI patterns (iOS/Android), and pixel-perfect implementation. State Management – Experience with Redux, MobX, or React Context API. Mobile Performance Optimization – Profiling, lazy loading, and memory management. Third-Party Integrations – Familiarity with integrating SDKs, push notifications, deep linking, in-app purchases, Firebase, etc. Backend Development Node.js – Primary backend platform (preferred). Java / Python – Alternate backend technologies; ability to understand and contribute to services written in these. API Development – Designing and consuming RESTful APIs and experience with GraphQL is a plus. Authentication & Authorization – Experience with OAuth2, JWT, and secure session management.

Role & responsibilities Design, build, and maintain scalable and efficient data pipelines and ETL/ELT processes. Develop and optimize data models for analytics and operational purposes in cloud-based data warehouses (e.g., Snowflake, Redshift, BigQuery). Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver reliable datasets. Implement data quality checks, monitoring, and alerting for pipelines. Work with structured and unstructured data across various sources (APIs, databases, streaming). Ensure data security, compliance, and governance practices are followed. Write clean, efficient, and testable code using Python, SQL, or Scala. Support the development of data catalogs and documentation. Participate in code reviews and contribute to best practices in data engineering. Preferred candidate profile 3- 9 years of hands-on experience in data engineering or a similar role. Strong proficiency in SQL and Python, Pyspark. Experience with data pipeline orchestration tools like Apache Airflow, Prefect, or Luigi.( Any Of the skill) Familiarity with cloud platforms such as AWS, Azure, or GCP (e.g., S3, Lambda, Glue, BigQuery, Dataflow).( Any of the Skill) Experience with big data tools such as Spark, Kafka, Hive, or Hadoop.(ANy One) Strong understanding of relational and non-relational databases. Exposure to CI/CD practices and tools (e.g., Git, Jenkins, Docker). Excellent problem-solving and communication skills.