Live Jobs

• 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

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.

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.

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.

Our client is a computer science–based company specialising in the design and implementation of practical, reliable, and high-end software solutions. With a strong engineering culture and a focus on quality, the organisation supports complex projects that require precision, coordination, and effective collaboration among leaders.

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.

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.

We are looking for a Senior/Staff Kotlin Engineer to join a small, flexible team building advanced developer tooling. This is a technology-focused engagement where the end-users are developers themselves, working on IntelliJ plugins, IDEs, coding agents, and local AI inference frameworks.

This is a senior/staff-level role offering high operational autonomy. The engineer will be expected to own features end-to-end, from design and scoping through to testing and implementation, with minimal oversight. No specific reporting line or time zone overlap requirement was specified beyond a remote-first working setup.

We are looking for a Sys Admin + Python Infrastructure Engineer to lead key infrastructure delivery centered on graph database environments (Neo4j/GraphDB). The role combines high-level systems engineering and infrastructure automation with proactive security hardening and system architecture optimization.

This is an advanced/senior-level, highly autonomous role. The engineer will collaborate independently with technical stakeholders, drive solutions end-to-end, and own delivery outcomes. No specific reporting line or time zone overlap requirement was specified beyond advanced English proficiency for technical communication.