Backend Engineer

Calyptus; Torino; In loco; EUR 40.000 - 60.000; Tempo pieno

Descrizione del lavoro

A leading travel technology firm in Torino is seeking an experienced Backend Engineer to build scalable backend services for their innovative travel platform. The ideal candidate will be proficient in Java and Spring Boot, with strong experience in databases like MySQL and MongoDB. Responsibilities include designing and implementing APIs, integrating supplier systems, and optimizing services in Linux/AWS environments. The role offers an exciting opportunity to work in an AI-first company focused on enhancing customer experiences.

Competenze

• 2-5 years of backend development experience with Java and Spring Boot.
• Strong knowledge of relational and NoSQL databases, ability to design efficient schemas.
• Familiarity with ElasticSearch and low-latency search systems.

Mansioni

• Design and develop backend systems using Java and Spring Boot.
• Implement real-time personalization and ranking logic.
• Deploy and optimize services on Linux and AWS environments.

Conoscenze

Java

Spring Boot

MySQL

MongoDB

ElasticSearch

Linux

AWS

Microservices

Problem-solving

Collaboration

Formazione

Bachelor’s or Master’s degree in Computer Science or Software Engineering

Strumenti

AWS (EC2, S3, RDS, Lambda, API Gateway)

ElasticSearch

Descrizione del lavoro

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The Role

We are seeking an experienced Backend Engineer who is excited to build the technical backbone of a new generation travel platform. You’ll work with Java and Spring Boot to design and implement scalable, resilient backend services, and use databases like MySQL, MongoDB, and ElasticSearch to power search, personalization, and booking flows. Familiarity with Linux systems, AWS, and microservices architecture will help you ship reliable systems at scale.

Core Responsibilities

• Design, develop, and scale backend systems using Java and Spring Boot.
• Create low‑latency search infrastructure (ElasticSearch, caching, query optimization).
• Build and maintain supplier integrations across hotels, chains, and experiences, ensuring stability and fault tolerance.
• Implement real-time personalization and ranking logic to improve customer discovery and booking conversion.
• Enable AI‑powered experiences by building APIs, data pipelines, and scalable systems that support recommendations, personalization, and conversational interfaces.
• Develop and maintain database schemas, queries, and stored procedures (MySQL, MongoDB, ElasticSearch).
• Deploy and optimize services on Linux and AWS environments (EC2, S3, RDS, Lambda, API Gateway).
• Implement and evolve microservices architecture; design APIs for communication between services.
• Monitor backend systems in production, troubleshoot issues, and deliver timely fixes.
• Collaborate with product, growth, and engineering peers to translate customer needs into backend solutions.
• Participate in code reviews, debugging, and documentation to ensure quality and maintainability.
• Stay current with new backend and AI technologies, bringing forward ideas for innovation and scale.

Candidate Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• 2–5 years of backend development experience with Java and Spring Boot.
• Strong knowledge of relational and NoSQL databases (MySQL, MongoDB) and ability to design efficient schemas, queries, and stored procedures.
• Familiarity with ElasticSearch and interest in building low‑latency search systems.
• Hands‑on experience with Linux systems and deploying / maintaining backend services in production.
• Experience with AWS services (EC2, S3, RDS, Lambda, API Gateway) and cloud‑native deployments.
• Understanding of microservices architecture and proven experience designing and implementing APIs for service communication.
• Strong problem‑solving and analytical skills with a focus on scalability, reliability, and performance.
• Excitement to work in an AI‑first company, building systems that power personalization, recommendations, and AI‑driven experiences at scale.
• Excellent communication skills and the ability to collaborate effectively across product, growth, and engineering teams.

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