Build scalable full-stack apps, optimize performance, integrate AI/ML (preferred), lead code reviews, and collaborate in Agile teams. Proficient in JS, React/Angular, Java/Spring Boot, REST APIs, and cloud (AWS/GCP). Strong problem-solving skills.

Location: Hybrid/ Remote Openings: 3 Experience: 2+ Years Qualification: Bachelor’s or Master’s in Computer Science or a related technical field Key Responsibilities Automation & Frameworks Design, build, and maintain Test Automation frameworks using best practices. Continuously enhance test coverage and test efficiency through automation. AI Awareness (Preferred) Familiarity with AI/ML-based testing tools or self-healing test automation frameworks is an added advantage. Explore ways to integrate AI-driven quality assurance into existing testing processes. Collaboration & Reporting Work closely with developers, product managers, and architects in a fast-paced Agile environment. Report test results, risks, and improvement areas in a clear and timely manner. Product Quality Assurance Test multiple products to identify deficiencies, defects, and usability gaps. Investigate product quality issues and drive continuous improvement in collaboration with engineering teams. Release Readiness Run full regression test passes before each product release. Assist the team in making the go/no-go release decision based on test outcomes. Required Skills 2+ years of hands-on experience as a QA Engineer in a fast-paced, global environment Strong knowledge of various testing techniques – UI Testing, Automated Testing, Test-Driven Development (TDD) strategies Solid understanding of test methodologies (functional, non-functional, BDD) Expertise in end-to-end automation tools like Selenium, WebDriver, and Puppeteer for browser automation and UI testing Familiarity with JavaScript testing frameworks such as Jest, Mocha, Webpack (a plus) Basic coding knowledge in Java, HTML5, CSS3, DB2, XML is a plus Experience working with Agile/Scrum methodologies Skills:- Selenium, puppeteer, Automated testing, Software Testing (QA), Manual testing, Test driven development (TDD), BDD and Agile/Scrum

Location: Hybrid/ Remote Openings: 5 Experience: 0 - 2Years Qualification: Bachelor’s or Master’s in Computer Science or a related technical field Key Responsibilities Backend Development & APIs Build microservices that provide REST APIs to power web frontends. Design clean, reusable, and scalable backend code meeting enterprise security standards. Conceptualize and implement optimized data storage solutions for high-performance systems. Deployment & Cloud Deploy microservices using a common deployment framework on AWS and GCP. Inspect and optimize server code for speed, security, and scalability. Frontend Integration Work on modern front-end frameworks to ensure seamless integration with back-end services. Develop reusable libraries for both frontend and backend codebases. AI Awareness (Preferred) Understand how AI/ML or Generative AI can enhance enterprise software workflows. Collaborate with AI specialists to integrate AI-driven features where applicable. Quality & Collaboration Participate in code reviews to maintain high code quality. Collaborate with teams using Agile/Scrum methodologies for rapid and structured delivery. Required Skills Proficiency in JavaScript (ES6+), Webpack, Mocha, Jest Experience with recent frontend frameworks – React.js, Redux.js, Node.js (or similar) Deep understanding of HTML5, CSS3, SASS/LESS, and Content Management Systems Ability to design and implement RESTful APIs and understand their impact on client-side applications Familiarity with cloud platforms (AWS, Azure, or GCP) – deployment, storage, and scalability Experience working with Agile and Scrum methodologies Strong backend expertise in Java, J2EE, Spring Boot is a plus but not mandatory Skills:- Fullstack Developer, Javascript, React.js, NodeJS (Node.js), RESTful APIs, HTML/CSS, Amazon Web Services (AWS), Google Cloud Platform (GCP), Agile/Scrum, Artificial Intelligence (AI) and Generative AI

Location: Hybrid/ Remote Openings: 2 Experience: 5–12 Years Qualification: Bachelor’s or Master’s in Computer Science or a related technical field Key Responsibilities Architect & Design: Provide technical and architectural direction for complex frontend solutions,ensuring alignment with enterprise standards and best practices. Conduct design and code reviews to maintain high-quality, reusable, and scalable frontend interfaces for enterprise applications. Collaborate with cross-functional teams to define and enforce UI/UX design guidelines, accessibility standards, and performance benchmarks. Identify and address potential security vulnerabilities in frontend implementations, ensuring compliance with security and data privacy requirements. Development & Debugging Write clean, maintainable, and efficient frontend code. Debug and troubleshoot code to ensure robust, high-performing applications. Develop reusable frontend libraries that can be leveraged across multiple projects. AI Awareness (Preferred) Understand AI/ML fundamentals and how they can enhance frontend applications. Collaborate with teams integrating AI-based features into chat applications. Collaboration & Reporting Work closely with cross-functional teams to align on architecture and deliverables. Regularly report progress, identify risks, and propose mitigation strategies. Quality Assurance Implement unit tests and end-to-end tests to ensure code quality. Participate in code reviews and enforce best practices. Required Skills 5-10 years of experience architecting and developing cloud-based global applications in a public cloud environment (AWS, Azure, or GCP). Strong hands-on expertise in frontend technologies: JavaScript, HTML5, CSS3 Proficiency with Modern frameworks like React, Angular, or Node.js Backend familiarity with Java, Spring Boot (or similar technologies). Experience developing real-world, at-scale products. General knowledge of cloud platforms (AWS, Azure, or GCP) and their structure, use, and capabilities. Strong problem-solving, debugging, and performance optimization skills. Skills:- Google Cloud Platform (GCP), Amazon Web Services (AWS), Azure, Javascript, React.js, Angular, Java, 06692, Software architecture and Systems design

Location: Hybrid/ Remote Type: Contract / Full‑Time Experience: 5+ Years Qualification: Bachelor’s or Master’s in Computer Science or a related technical field Responsibilities Architect & implement the RAG pipeline: embeddings ingestion, vector search (MongoDB Atlas or similar), and context-aware chat generation. Design and build Python‑based services (FastAPI) for generating and updating embeddings. Host and apply LoRA/QLoRA adapters for per‑user fine‑tuning. Automate data pipelines to ingest daily user logs, chunk text, and upsert embeddings into the vector store. Develop Node.js/Express APIs that orchestrate embedding, retrieval, and LLM inference for real‑time chat. Manage vector index lifecycle and similarity metrics (cosine/dot‑product). Deploy and optimize on AWS (Lambda, EC2, SageMaker), containerization (Docker), and monitoring for latency, costs, and error rates. Collaborate with frontend engineers to define API contracts and demo endpoints. Document architecture diagrams, API specifications, and runbooks for future team onboarding. Required Skills Strong Python expertise (FastAPI, async programming). Proficiency with Node.js and Express for API development. Experience with vector databases (MongoDB Atlas Vector Search, Pinecone, Weaviate) and similarity search. Familiarity with OpenAI’s APIs (embeddings, chat completions). Hands‑on with parameters‑efficient fine‑tuning (LoRA, QLoRA, PEFT/Hugging Face). Knowledge of LLM hosting best practices on AWS (EC2, Lambda, SageMaker). Containerization Skills (Docker) Good understanding of RAG architectures, prompt design, and memory management. Strong Git workflow and collaborative development practices (GitHub, CI/CD). Nice‑to‑Have Experience with Llama family models or other open‑source LLMs. Familiarity with MongoDB Atlas free tier and cluster management. Background in data engineering for streaming or batch processing. Knowledge of monitoring & observability tools (Prometheus, Grafana, CloudWatch). Frontend skills in React to prototype demo UIs. Skills:- Artificial Intelligence (AI), Generative AI, Python, NodeJS (Node.js), Vector database, Amazon Web Services (AWS), Docker, Retrieval Augmented Generation (RAG) and CI/CD

Location: Hybrid/ Remote Openings: 2 Experience: 5+ Years Qualification: Bachelor’s or Master’s in Computer Science or related field Job Responsibilities Problem Solving & Optimization: Analyze and resolve complex technical and application issues. Optimize application performance, scalability, and reliability. Design & Develop Build, test, and deploy scalable full-stack applications with high performance and security. Develop clean, reusable, and maintainable code for both frontend and backend. AI Integration (Preferred) Collaborate with the team to integrate AI/ML models into applications where applicable. Explore Generative AI, NLP, or machine learning solutions that enhance product capabilities. Technical Leadership & Mentorship Provide guidance, mentorship, and code reviews for junior developers. Foster a culture of technical excellence and knowledge sharing. Agile & Delivery Management Participate in Agile ceremonies (sprint planning, stand-ups, retrospectives). Define and scope backlog items, track progress, and ensure timely delivery. Collaboration Work closely with cross-functional teams (product managers, designers, QA) to deliver high-quality solutions. Coordinate with geographically distributed teams. Quality Assurance & Security Conduct peer reviews of designs and code to ensure best practices. Implement security measures and ensure compliance with industry standards. Innovation & Continuous Improvement Identify areas for improvement in the software development lifecycle. Stay updated with the latest tech trends, especially in AI and cloud technologies, and recommend new tools or frameworks. Required Skills Strong proficiency in JavaScript, HTML5, CSS3 Hands-on expertise with frontend frameworks like React, Angular, or Vue.js Backend development experience with Java, Spring Boot (Node.js is a plus) Knowledge of REST APIs, microservices, and scalable architectures Familiarity with cloud platforms (AWS, Azure, or GCP) Experience with Agile/Scrum methodologies and JIRA for project tracking Proficiency in Git and version control best practices Strong debugging, performance optimization, and problem-solving skills Ability to analyze customer requirements and translate them into technical specifications Skills:- Fullstack Developer, Javascript, HTML/CSS, React.js, Spring Boot, Java, Microservices, RESTful APIs, Amazon Web Services (AWS), Google Cloud Platform (GCP), Git, Agile/Scrum, Artificial Intelligence (AI) and Generative AI