Monitor team performance and ensure work is completed safely and efficiently.
Lead the maintenance of all bakery production equipment, including mixers, dividers, proofers, ovens, conveyors, packaging machines, and refrigeration systems.
Ensure equipment reliability through effective preventive and corrective maintenance programmes.
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Cloud & Deployment: Manage application deployment lifecycles on cloud-based Linux Virtual Machines, leveraging Kubernetes for container orchestration, scaling, and high availability.
Production Monitoring & Incident Response: Proactively monitor the health, performance, and uptime of production servers and applications. Rapidly troubleshoot, diagnose, and resolve any live issues, bottlenecks, or system outages to ensure continuous availability.
Code Quality & Security: Establish and enforce rigorous software testing methodologies (unit, integration, and E2E). Lead comprehensive code reviews to ensure code quality, maintainability, and adherence to strict security best practices.
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We are looking for an experienced .NET Developer (Satellite Systems) to join our client's IT team in the Financial Services / Insurance industry. This role focuses on developing, enhancing, and maintaining enterprise applications using Microsoft .NET technologies.
0–2 years of software development experience (or equivalent experience through internships, academic projects, or bootcamps)
Design, develop, test, and deploy software using technologies such as React, Angular, Java, JavaScript, AWS, Docker, Kubernetes, Jenkins, Terraform, PostgreSQL and related tools.
Understanding of software engineering principles and object-oriented programming
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0–2 years of software development experience (or equivalent experience through internships, academic projects, or bootcamps)
Design, develop, test, and deploy software using technologies such as React, Angular, Java, JavaScript, AWS, Docker, Kubernetes, Jenkins, Terraform, PostgreSQL and related tools.
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Implement cutting-edge natural language processing (NLP) algorithms for interactive learning tools, chatbots, and intelligent tutoring systems.
Collaborate closely with cross-functional teams including product, design, and engineering to integrate AI features into the platform effectively.
Analyse and process large, complex datasets to extract meaningful insights and develop predictive models that enhance learner engagement and performance.
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