This role involves designing and building scalable, high-performance backend systems that power search, recommendations, and data-driven experiences using modern cloud technologies. You'll work on complex, event-driven architectures and data platforms, collaborating closely with product, data, and engineering teams to deliver reliable, high-impact solutions.
Client Details
This organisation is a market-leading digital platform that operates at massive scale, delivering data-driven products used by millions of consumers every day. It is known for its strong engineering culture, modern technology stack, and focus on building high-impact, customer-centric solutions.
Description
Work on high-impact backend systems that power search, recommendations, and data-driven customer experiences
Solve complex engineering problems involving large datasets and high-throughput platforms
Build and own event-driven architectures using modern cloud technologies
Hands-on exposure to search, semantic search, and recommendation systems (Elasticsearch/OpenSearch)
Opportunity to work with streaming platforms and real-time data (Kafka, batch and event pipelines)
Gain experience building RAG, NLP, and information retrieval solutions
Use a modern tech stack (TypeScript/Node.js, Python, Java, AWS)
Collaborate closely with product, data, and engineering teams with real customer impact
Strong focus on engineering quality, performance, reliability, and scalability
Role supports learning and growth as the platform and capabilities evolve
Profile
2+ years' experience building scalable backend applications in cloud environments
Strong programming skills in TypeScript/Node.js, Python, or Java
Experience designing and building RESTful APIs and microservices for high-throughput systems
Solid understanding of SQL and NoSQL databases, including schema design and performance optimisation (e.g. PostgreSQL, DynamoDB, BigQuery)
Hands-on experience with cloud infrastructure, preferably AWS
Knowledge of event-driven architectures, messaging systems, and streaming platforms (e.g. Kafka)
Experience building or integrating search and recommendation systems using Elasticsearch or OpenSearch
Familiarity with real-time and batch data ingestion and transformation pipelines
Exposure to information retrieval, RAG, or NLP-based solutions is desirable
Strong understanding of system performance, reliability, scalability, and security
Ability to write production-quality, maintainable code and follow strong engineering practices
Collaborative mindset with the ability to work effectively across product, data, and engineering teams
Job Offer
Fixed-term contract with the potential for career development opportunities.
Work in a supportive team environment.
Be part of a company that values innovation and excellence in the Technology field.
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