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Our client is a creative technology and talent solutions agency dedicated to transforming how organizations attract and engage people. They specialize in crafting employer brand and digital experiences that connect leading global companies with exceptional talent.

Our client is a creative technology and talent solutions agency dedicated to transforming how organizations attract and engage people. They specialize in crafting employer brand and digital experiences that connect leading global companies with exceptional talent.

We are seeking a Senior Backend Engineer to join our dynamic team. The successful candidate will work on one of the following projects, depending on expertise and interest:

• Finance Product Team: Manage Lavanda’s accounting, billing, invoicing, and payments system, which processes hundreds of thousands of payments monthly for student accommodation. This product is built with Elixir. You will join an established team of six, including frontend and backend developers, QA, PM, and EM, and be one of two new additions to the team.
• Booking & Inventory: Enhance our booking system, inventory system, and automation system. Work primarily with Ruby, collaborating closely with a Project Manager, Engineering Manager, a Frontend Developer, and three other Backend Developers. This role offers an opportunity to contribute to critical systems and be part of a dynamic team dedicated to improving our products.
• Distribution: Maintain, expand, and rebuild our distribution system, which syncs data to and from booking channels like Airbnb, Booking.com, and Expedia. Collaborate closely with another backend engineer, a frontend engineer, and a QA specialist. The current system is built in Ruby, but you will be involved in the transition to Node.js as we rebuild it for enhanced performance and scalability.

Maintain, scale, and optimize core on-premise infrastructure serving over 10,000 developers. The primary focus is driving the reliability and efficiency of essential developer tools and services (such as Jenkins, Bitbucket, and BuildBarn) through solid system administration, networking, and automation across cross-ecosystem environments.

The team is aiming to harden the overall security posture across a multi-entity group structure and build robust operational capabilities to detect, respond to, and recover from security events. The Security Engineer will be responsible for supporting security operations within a modern security stack, streamlining integration capabilities across newly acquired entities, managing endpoint and identity protection, and optimizing SIEM/SOAR platforms.

As an ML Engineer, you will focus on enabling the rapid exploration, productionization, and deployment of machine learning models and optimization algorithms. The goal is to deliver end-to-end ML lifecycles and robust APIs that solve complex pricing class problems across multiple business domains within a hybrid-cloud ecosystem.

• Identify, analyze, and eliminate data quality issues within complex data ecosystems using SQL and analytical tooling.
• Leverage data analyst instincts paired with software engineering hands to find cohorts in BigQuery, diagnose data discrepancies, and fix them at scale (~70% of the role).
• Build custom remediation tooling, data tests, and automated data monitoring mechanisms on the JVM backend using Kotlin or Java and Spring Boot.
• Proactively design offline mechanisms and statistical validation approaches to resolve data issues without impacting production processing times.
• Take ownership of an unassigned and evolving backlog by scoping, delivering, and prioritizing data quality initiatives.
• Collaborate directly with international engineering teams to establish data observability standards, anomaly detection, and best practices

The main objective of this role is to establish a modern, unified cloud infrastructure and security baseline that supports business growth while safeguarding critical data assets. The team aims to stabilize and remediate existing environments, transform systems toward a Zero Trust operating model, and build an automated, repeatable infrastructure foundation across business entities.

The main objective of this role is to productionize and scale an ML-driven data quality system across the organization. The team aims to build and optimize anomaly-detection and clustering pipelines, leveraging both classic machine learning and LLM reasoning to flag, explain, and resolve root-cause data issues. You will be responsible for creating and maintaining validator models that turn detected anomalies into higher-quality future data.

The team is seeking a Senior Scala Engineer to drive the architectural design, development, and scaling of core system components, APIs, and developer tools. In this role, you will focus on delivering robust, high-availability software solutions, refining SDKs and API integration layers, optimizing large-scale developer tooling, and ensuring high code quality across distributed architectures.