Our Client is seeking a Senior Engineer, Full Stack for a fully onsite opportunity. Summary: Join a team building scalable cloud-native applications and AI-powered solutions. This role focuses on developing microservices, APIs, and full-stack applications while driving performance, security, reliability, and automation.
Responsibilities:
- Design and develop cloud-native, microservices-based applications
- Build and deploy solutions using Docker and Kubernetes
- Implement CI/CD pipelines, IaC, and DevOps best practices
- Develop REST APIs and event-driven architectures using Kafka or RabbitMQ
- Enhance monitoring, logging, and observability with tools such as Prometheus and Grafana
- Collaborate in Agile teams and mentor engineers
- Support AI/ML initiatives including chatbots, AI agents, LLMs, and MLOps practices
Requirements
- Bachelor’s degree in Computer Science or related field, or equivalent experience
- 10+ years of experience designing, developing, and deploying cloud-native applications
- Strong programming experience in Python and experience with TensorFlow, PyTorch, or similar AI/ML frameworks
- Experience using AI tools for software development productivity, debugging, testing, and automation
- Expertise with one or more modern programming languages such as Python, Java, C#, Rust, or similar
- Strong backend development experience with SQL and NoSQL databases
- Experience developing front-end applications with React, Angular, or Vue
- Experience designing scalable, highly resilient enterprise applications
- Hands-on experience with Kafka, RabbitMQ, or similar event-driven technologies
- Deep understanding of microservices architecture and distributed systems
- Knowledge of OAuth 2.0, OpenID Connect, Zero Trust architecture, secrets management, and secure API design
- Strong analytical and problem-solving abilities
- Excellent communication and collaboration skills
- Passion for innovation, continuous learning, and emerging AI technologies
- Ability to mentor and guide engineering teams
Technical Skills:
- RESTful APIs and GraphQL
- Docker and Kubernetes
- CI/CD pipelines and Infrastructure Automation
- AWS, Azure, or Google Cloud Platform
- Microservices architecture and cloud-native design patterns
- Event-driven architecture and real-time data processing
- Prometheus, Grafana, and observability platforms
- Agile software development methodologies
Preferred Qualifications:
- Experience with ISO 27001, ISO 9001, or similar compliance frameworks
- Exposure to MLOps practices and AI model deployment
- Knowledge of NLP, computer vision, or generative AI technologies
- Understanding of AI ethics, data privacy, and healthcare compliance environments
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Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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