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
- 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
- Experience with container orchestration and modern cloud platforms
- Exposure to MLOps practices and AI/ML lifecycle management
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