Senior Engineer Full Stack

We are seeking a Senior Engineer, Full Stack with extensive experience in designing and building scalable cloud-native applications. This role focuses on developing microservices, APIs, and full-stack solutions while integrating AI and machine learning capabilities. The engineer will contribute to building reliable, secure, and high-performance distributed systems, while supporting DevOps practices and agile delivery. Key Responsibilities Architect, design, and develop microservices-based and full-stack applications Build and deploy applications using containerization and orchestration technologies Implement and manage CI/CD pipelines, infrastructure as code, and automated testing Design scalable, resilient, and fault-tolerant systems with high availability Develop and maintain APIs following API-first design principles Implement monitoring and logging solutions to ensure system performance and observability Collaborate with cross-functional teams to deliver high-quality software solutions Mentor developers through code reviews, design reviews, and knowledge sharing Contribute to AI/ML solutions including document processing, summarization, chatbots, and AI agents Support development and integration of AI workflows with internal systems Test and evaluate AI/ML models including large language models and computer vision systems Participate in MLOps practices such as model deployment, monitoring, and versioning Follow agile methodologies and contribute to iterative development cycles Maintain proper documentation and adhere to coding standards Required Qualifications Bachelor’s degree in Computer Science or related field, or equivalent experience 10+ years of experience in software development and cloud-native application design Proficiency in Python and libraries such as TensorFlow and PyTorch Experience leveraging AI for code generation, debugging, test automation, and monitoring Expertise in one or more programming languages such as Java, Python, C, Rust, or similar Strong backend development experience and knowledge of SQL and NoSQL databases Proficiency in front-end frameworks such as Angular, React, or Vue.js Experience with microservices, distributed systems, and scalable system design Knowledge of enterprise design principles including cloud-native architectures and 12-factor applications Experience with event-driven architectures and messaging systems such as Kafka or RabbitMQ Experience implementing DevOps practices including CI/CD and automation Preferred Qualifications Experience with container orchestration and modern cloud platforms Exposure to MLOps practices and AI/ML lifecycle management

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