Mid-Level Full Stack Engineer

October 10

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PredictX

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Machine Learning • Decision Automation • Business Intelligence • Data Cleansing and Enrichment • Decision Support

51 - 200 employees

🤖 Artificial Intelligence

☁️ SaaS

🚗 Transport

Description

• Make a real difference at one of London’s foremost SaaS scale-ups: • Be ready to pioneer the future of AI, data analytics, and technology. Step into PredictX, where we don't just see AI as a fashionable bandwagon to hop on but have lived and breathed AI & ML in every aspect of our product for the past decade. • As an Enterprise SaaS provider, we're revolutionising critical decision-making for many of the world’s largest businesses, including 3 FAANGs, seeking empowerment through our integrative AI technology and Predictive Analytics. • As the Full Stack Engineer you will be responsible for the overall development and implementation of front and back-end software applications. Your responsibilities will extend from designing system architecture to high-level programming, performance testing, and systems integration.

Requirements

• Full Stack Expertise: Proven experience in full-stack development, with a strong understanding of modern technologies and best practices. Must have a solid foundation in Java or Kotlin for backend development. • Frontend Proficiency: Skilled in JavaScript, TypeScript, CSS, and HTML, with a keen eye for detail and performance. • Backend Mastery: Experience with Java/Kotlin and Spring Boot, building robust and scalable backend services. • Message Brokering: Proficiency with Apache Kafka for building real-time data pipelines and streaming applications. • Cloud Native Development: In-depth experience in developing cloud-native applications, leveraging platforms like Google Cloud Platform, Azure, and/or AWS. • Communication Excellence: Ability to articulate complex technical solutions to non-technical users clearly and effectively. • Modular Development: Technical expertise in building reusable modules and libraries, contributing to scalable solutions. • Educational Foundation: A strong quantitative background with at least a 2:1 degree (BSc or MSc) in a numerical subject. • Fluency in English: Exceptional command of English, both written and spoken. • Interpersonal Skills: Excellent communication skills, capable of effectively interacting with peers and non-peers alike.

Benefits

• Architectural Influence: The opportunity to define and shape the architecture of cutting-edge solutions. • Innovation Hub: Work with the latest technologies and help lead the charge on innovative new projects. • Collaborative Environment: A supportive team culture where collaboration and knowledge-sharing are key.