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Our client is a European software engineering and consulting company with a dedicated core team specializing in Bazel. The team delivers consultancy, migrations, and open-source contributions around Bazel, working across multiple ecosystems and codebases of varying size and complexity — from startups to world-class builds at large-scale organizations. The engineering culture is elite and specialized, focused on solving build-system problems too complex for client teams to resolve on their own, even with LLM assistance.

We are looking for an AI/ML Platform Architect to take ownership of the AI strategy, architecture, and technical evolution of the company’s core platform.

This is a highly hands-on role. You will not simply create architecture diagrams or oversee delivery from a distance — you’ll define the strategy, make technical decisions, and write production code alongside the engineering team.

You’ll work closely with Product, Engineering, Customer Success, partners, and the company’s Customer Advisory Board to translate real customer problems into scalable AI capabilities.

The company is open to two types of profile:

• An established AI/ML Architect who can immediately take ownership of the platform.
• A highly accomplished Senior / Staff-level AI Engineer who has the technical depth, product mindset, and ambition to grow into the architecture role.

Initially, this is an individual contributor position with significant strategic influence. As the engineering team expands, the person can either move toward technical management and build a team underneath them or remain a senior individual contributor at the top of the technical organization.

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.

The client is an innovative technology company focused on AI-engineered software products. They operate within a disciplined, metrics-driven engineering environment that prioritizes predictable delivery, strong technical governance, and high execution quality. Their ecosystem utilizes modern AI-augmented delivery models,such as agentic coding workflows to drive product success and scale software solutions reliably.

Our client is a European software engineering and consulting company delivering infrastructure engineering services built around graph databases (Neo4j/GraphDB). The technical environment spans Linux/Unix systems administration, Python-based infrastructure automation, and data pipelines integrating Python and Java components, with an engineering culture rooted in ownership, security rigor, and transparency.

Our client is a growing software engineering group fostering a culture rooted in strong engineering practices, ownership, and transparency. The organization operates at the intersection of technology, implementation, and client collaboration, working across the full software development lifecycle (SDLC) with clients and engineering teams alike.

• 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

We’re looking for an experienced Lead Front-End Engineer to join our Product Team and build scalable careers websites for global clients. You’ll lead front-end delivery across multiple projects, working with Product Managers, Designers, Architects and Engineers. Alongside hands-on development, you’ll shape front-end architecture, mentor and manage Front-End Developers, and help evolve our proprietary platform and component library. You’ll work with React, Next.js and Payload CMS, balancing shared platform development with client-specific requirements. Developers have strong ownership of architecture, delivery and technical direction within small, collaborative teams.

We are hiring a Principal Backend Engineer / Technical Lead to become the technical owner of our backend platform and help shape the future of our engineering organization.

This is far more than a traditional senior backend developer position. You’ll work directly alongside the founder, gradually taking ownership of many of the day-to-day technical responsibilities that currently sit with him. While remaining highly hands-on, you’ll also help coordinate engineering efforts, guide architectural decisions, mentor senior engineers, and bridge communication between engineering and the wider business.

You’ll play a key role in modernizing a mature SaaS platform, reducing technical debt, and leading the transition toward a new cloud-native architecture through incremental migration rather than a complete rewrite.

This is an excellent opportunity for someone who enjoys combining deep technical work with technical leadership and wants to have genuine influence over the future direction of both the product and engineering team.  

Our client is a European software engineering and consulting company building and enhancing IDEs and core plugins within a major IDE platform ecosystem, powering widely used developer tools (e.g., PyCharm-style, GoLand-style, PHPStorm-style, RubyMine-style tooling). The work involves implementing advanced language/technology support (e.g., PHP, Ruby, Scala, Bazel, Kotlin) through deep integration with their respective ecosystems, with the goal of delivering stable, high-quality tools used by developers worldwide.