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2 Full-Stack Applications Jobs

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5.0 - 8.0 years

5 - 8 Lacs

Pune, Maharashtra, India

On-site

You will work in our Mastercard technology location in Pune, India which provides a state-of-the-art environment for technology teams to thrive in our collaborative, Agile engineering culture. You will play a key role in how Mastercard transforms the B2B space to standardize, automate, and optimize digital payment efficiency for Buyers and Sellers. Role Be a leading contributor to microservices planning, design, and development. Build and maintain full-stack applications & services using Angular, Java, and PCF. Deliver code with exceptional quality and security that operates at scale. Perform code reviews and retrospectives, and approve Pull Requests using Git. Collaborate with architects, software engineers, test engineers, TPMs, and PM-Ts. Coordinate with DevOps on the design and maintenance of the build pipeline. Provide technical leadership to software engineers. Ensure that you use 12-factor app design principles in your development. Ensure that the systems you create comply with Mastercard engineering best practices and governance models, including security, operations, and Enterprise Architecture Requirements: All About You You have a solid foundation in Computer Science fundamentals, web applications, and microservices-based software architecture. You have a deep understanding of web technologies, including HTML5, CSS, Javascript, and front-end frameworks such as Angular. You have deep experience building applications using Java and PCF. You have experience using storage technologies such as PostgreSQL or Oracle and delivering solutions that leverage them at a massive scale. You have experience with automated testing and successfully releasing software in a continuous delivery model using Git. You enjoy working in an Agile team focused on continuous improvement. You have a strong desire to deepen your knowledge, collaborate within a team, and mentor software engineers. You are passionate about the art of delivering the highest quality software to customers. You have excellent communication skills

Posted 5 days ago

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5.0 - 10.0 years

19 - 32 Lacs

Pune

Work from Office

Sr Applications Developer - (Full Stack Developer - AI Engineering Practice) BMC is looking for an experienced Full Stack Developer to join our team working on building and maintaining our Generative AI engineering and research platform. This position involves working with advanced AI technologies, balancing practical engineering implementation with innovative AI solutions, and ensuring code quality and functionality in our AI applications. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Design and develop full-stack applications using React (frontend) and Fast API (backend) Build and optimize LLM applications using Langchain and related frameworks Architect and maintain cloud-native applications on AWS EKS clusters Implement and optimize integrations with Bedrock services for LLM functionalities Develop and maintain AI pipelines using Python ML frameworks Manage and optimize databases (ex. PostgreSQL) in AWS RDS Integrate and maintain SSO solutions using OKTA Collaborate with AI researchers to implement and deploy ML models Design and develop RESTful APIs for AI service integration Implement secure and scalable cloud infrastructure using AWS services Lead technical design discussions and architecture reviews To ensure youre set up for success, you will bring the following skillset & experience: 5+ years of full-stack development experience Strong proficiency in React.js and modern JavaScript/TypeScript Expert-level Python development skills Experience with Python AI/ML frameworks: Langchain for LLM applications NumPy and Pandas for data manipulation Scikit-learn for ML implementations PyTorch or TensorFlow (preferred) Experience with Fast API framework Proven experience with AWS services, especially EKS and RDS Solid understanding of Kubernetes and container orchestration Experience with PostgreSQL and database optimization Knowledge of authentication systems and SSO implementation (OKTA preferred) Experience with CI/CD pipelines and DevOps practices Understanding of RESTful API design principles Whilst these are nice to have, our team can help you develop in the following skills: Experience with LLM integration and AI services Familiarity with AWS Bedrock or similar AI services Strong background in Python ecosystem: Hugging Face transformers Streamlet for AI applications Experience with vector databases (e.g., Pinecone, Chroma) Experience in prompt engineering and LLM optimization techniques Experience in implementing microservices architecture Experience with monitoring and observability tools Security best practices in cloud environments The ideal candidate will demonstrate full stack proficiency via past work samples, GitHub projects, whiteboarding sessions and a potential live coding test

Posted 2 months ago

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