SEO Executive

We are looking for a skilled Java Developer with hands-on experience in Java, Spring Boot, and Microservices architecture to join our dynamic development team. The ideal candidate will be responsible for designing, developing, and maintaining high-performance, scalable applications that meet the needs of modern enterprise systems.

Key Responsibilities:

💠Design, develop, test, and deploy Java-based applications using Spring Boot and Microservices.

💠Collaborate with product managers, architects, and cross-functional teams to understand requirements and deliver solutions.

💠Build and maintain RESTful APIs for various business functionalities.

💠Participate in code reviews, debugging, and performance tuning.

💠Ensure best practices in code quality, security, and software development lifecycle (SDLC).

💠Maintain and improve existing systems and troubleshoot issues as needed.

💠Implement and manage containerized applications (e.g., using Docker, Kubernetes) where applicable.

💠Integrate third-party APIs and work with database systems (SQL and/or NoSQL).

💠Monitor and maintain application performance and scalability.

Required Skills & Qualifications:

💠Bachelors/Masters degree in Computer Science, Engineering, or related field.

💠Strong proficiency with Spring Boot and the broader Spring Framework.

💠Proven experience in building and deploying Microservices.

💠Knowledge of RESTful web services and API design.

💠Experience with databases like MySQL, PostgreSQL, or MongoDB.

💠Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI) and version control systems like Git.

💠Understanding of containerization tools (Docker, Kubernetes is a plus).

💠Strong problem-solving and communication skills.

Role Overview:

The AI Research Intern will focus on natural language processing (NLP) and working with large language models (LLMs). They will assist in refining and testing the retrieval-augmented generation (RAG) system for CopilotGTM.

Key Responsibilities:

• Assist in developing and refining NLP models to answer customer queries.
• Research and implement improvements to minimize hallucinations in the LLM.
• Test RAG model configurations and provide feedback to improve accuracy.
• Work with the engineering team to improve real-time product recommendations and responses.
• Analyze datasets and fine-tune models for specific use cases (e.g., sales, compliance).

Skills Required:

• Strong understanding of NLP and familiarity with LLMs (GPT, BERT, etc.).
• Basic coding experience in Python.
• Knowledge of data handling, data processing, and model training.
• Problem-solving ability and eagerness to experiment with new techniques.

Preferred:

• Experience with libraries like Hugging Face, PyTorch, or TensorFlow.
• Familiarity with retrieval-augmented generation (RAG) systems.

Job Description: 

● At least 4 to 8 years of experience in software quality assurance manual testing 

● Proven record of test strategy and planning, STLC, deployment, defect tracking, and test  harness. 

● High degree of initiative with a passion for learning technology. 

● Must have strong hands-on experience on any programming language PHP, React Native JavaScript, HTML, CSS. 

● Must be competent enough on API testing using Rest Assured and Postman.

● Performance testing experience with relevant automation and monitoring tools (e.g.,  JMeter, load runner). 

● Responsible for coming up with and executing scale tests, performance, and longevity tests.

● Must have testing experience on cloud-based platforms and working knowledge on  integration testing using CI/CD pipelines. 

● Should have working experience with at least one of the MYSQL databases and NoSQL DB viz. 

● Cosmos Db, Cassandra, MongoDB.

● Should have strong fundamental understanding of network topology and the TCP/IP stack  and working knowledge of load balancing methods and deployment architecture

● Experience with GIT Hub, Maven, HP ALM, Jira, Jenkins, code coverage tools and CI/CD
● Exposure of sizing (estimating) the project and defining timelines 

● Good to have knowledge of Platforms like Windows / UNIX / Mainframe.

● Work under the direction of the Game QA Lead to provide test support for two dozen experienced game designers, artists, and engineers. 

● Perform daily smoke tests of game builds, using the build computer and the install scripts.

● Run through and write test plans for existing and new features. Become familiar with the  project design by closely reading project documentation and reaching out regularly to our  team of game developers. 

● Verify that identified bugs are fixed in the database. 

● Identify and bug new issues that occur in the HMD and tablet interface.

● Build on your own fundamental QA skills by learning the specifics of game  development QA for mobile devices, VR headsets, and experimental technology.

● Engage in continuous improvement of the QA process. 

● Maintains quality service by establishing and enforcing organization standards.
● Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of the-art practices; participating in professional societies. 

● Contributes to team effort by accomplishing related results as needed

• As an independent, self-motivated, and an avid technologist, you should have a strong interest in mobile and intuition for UX and consumer behaviour
• Up to date knowledge of Android (Jetpack and RxPatterns)
• Experienced in publishing and maintaining apps in play store
• Excellent Java programming skills
• Experienced in writing testable code & unit tests
• Experience with the Kotlin programming language a plus
• Familiarity with RESTful APIs to connect Android applications to back-end services
• Strong knowledge of Android UI design principles, patterns, and best practices
• Experience with offline storage, threading, and performance tuning
• Familiarity with the use of additional sensors, such as gyroscopes, accelerometers, GPS
• Knowledge of the open-source Android ecosystem and the libraries available for common tasks
• Ability to understand business requirements and translate them into technical requirements
• Familiarity with cloud message APIs and push notifications
• A knack for benchmarking and optimization
• Understanding of Google’s Android design principles and interface guidelines (JETPack, Rx patterns)
• Proficient understanding of code versioning tools, such as Git
• Familiarity with continuous integration