Internship Elasticsearch Engineer Jobs (NOW HIRING)

• Build, enhance, and optimize frontend components using JavaScript / TypeScript and React to deliver smooth and responsive user experiences.
• Collaborate with backend engineers to integrate RESTful APIs, ensuring reliable data flow between frontend and backend systems.
• Participate in the design and refinement of user interfaces with an emphasis on performance, accessibility, and usability.
• Identify, debug, and resolve frontend issues to continuously improve application quality and user experience.
• Write and maintain frontend unit tests to ensure code reliability and stability across modern browsers.
• Assist with the deployment and maintenance of frontend applications on AWS, supporting smooth releases and updates. 

2. Backend Developer Intern:
We are seeking a motivated and detail-oriented Backend Developer Intern to join our technology team in building and maintaining robust, scalable software systems. In this role, you will collaborate closely with data and frontend engineers and contribute to the development of backend services that power real-world applications. Our technology stack includes Java and Spring Boot for backend services, PostgreSQL, MongoDB, and Elasticsearch for data storage and search, React with JavaScript for frontend applications, and AWS for cloud deployment. This internship is ideal for candidates who are passionate about software engineering and eager to gain hands-on experience working on production systems. Key Responsibilities include:

• Assist in the development, enhancement, and maintenance of backend services using Java and Spring Boot.
• Design, implement, and optimize database queries using PostgreSQL, MongoDB, and Elasticsearch.
• Write and maintain unit tests using JUnit to ensure code quality, reliability, and maintainability.
• Collaborate with the engineering team to deploy, monitor, and maintain backend systems on AWS.
• Debug, troubleshoot, and optimize backend code to improve system performance and stability.
• Participate in code reviews and contribute to discussions around system design and architecture. 

3. Mobile Developer Intern:
We are seeking a motivated and detail-oriented Mobile Developer Intern to join our technology team and help build high-quality, cross-platform mobile applications using React Native and Expo. In this role, you will focus on developing intuitive, performant, and user-friendly mobile experiences for both iOS and Android platforms. You will collaborate closely with frontend and backend engineers to integrate RESTful APIs, implement new features, and ensure a seamless mobile user experience. Key responsibilities include:

• Design, build, and maintain mobile application features using TypeScript and React Native.
• Collaborate with backend engineers to integrate RESTful APIs, ensuring reliable and efficient data flow between mobile apps and backend systems.
• Implement responsive and adaptive mobile UI components that provide a consistent experience across iOS and Android devices.
• Identify, debug, and resolve mobile-specific issues related to performance, usability, and device compatibility.
• Contribute to mobile unit testing and debugging to ensure code quality and application stability.
• Assist in building and maintaining mobile deployment workflows, including app builds and environment configurations.

We are seeking a motivated and analytical Data Analyst Intern who is passionate about data-driven problem solving and eager to transform data insights into meaningful business impact. In this role, you will work closely with our technology and business teams to analyze datasets, build analytical pipelines, and apply statistical and machine learning techniques to support real-world decision-making. Key responsibilities include:

• Perform data cleaning, transformation, and validation using Python and SQL to ensure data accuracy and reliability.
• Assist in building and maintaining data pipelines to support analytics, reporting, and modeling workflows.
• Conduct exploratory data analysis (EDA) to identify trends, patterns, and actionable insights.
• Support the develop, evaluate, and improve statistical and machine learning models to use in business decision-making.
• Contribute to feature engineering