Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Develop and maintain micro-frontends in Vue.js and microservices in Java, integrating with Elasticsearch, in an Agile environment using GitLab CI/CD.
The Mobile App Developer will build and optimize cross-platform or native mobile applications using frameworks like React Native, Flutter, Swift, or Kotlin. The role involves collaborating with designers and backend teams to deliver scalable, secure, and high-performance mobile experiences.
Software engineer writing code samples, debugging, and refactoring across multiple languages (Java, Python, Rust, Go, C++, TypeScript) to produce high-quality AI training data.
Design and operate threat detection platforms across the AWS account fleet, building scalable Python/TypeScript services focused on security automation and operational excellence.
Linux System/DevOps Engineer placed at a client's DSI team, handling N2/N3 incident management, backend architecture, datacenter migration, and automation using Linux, Docker, Kubernetes, Ansible, GitLab CI, Prometheus, Python, and Bash.
Senior Java backend developer building and extending microservices (Spring Boot, Kafka, PostgreSQL) for PIXID's staffing/temp-work agency platform, in an on-site agile squad in Courbevoie.
Analytics Engineer leading Google Cloud data pipeline builds, conducting audits, designing target architectures, and developing multi-service Data Cloud solutions using SQL, Python/Node, and Dataform.
Galadrim is a technical consultancy that builds custom digital products, web/mobile applications, and AI solutions for clients. Engineers work in autonomous teams using modern stacks like Node.js, React, and AI-assisted development workflows to deliver scalable software.
The Software Engineer will contribute code, debug issues, and improve existing codebases across various languages including Python, Java, Rust, Go, C++, and TypeScript. The role focuses on producing high-quality technical content and documentation to support AI training data.
The Lead Data Platform Engineer will own the canonical data models and semantic layer, establishing data contracts and enabling self-serve analytics. The role involves working with a modern stack including BigQuery/Snowflake/Redshift, dbt, Python, and various orchestrators to ensure reliable and compliant data infrastructure.
Build and operate a standardized EMEA FP&A data and planning platform using Microsoft Fabric (lakehouse architecture) and Power Platform (Power Apps, Power Automate) to support finance decision-making across multiple countries and legal entities.
The Senior Cloud Data Platform Engineer will design and optimize cloud data infrastructure using AWS services, IaC, and data engineering tools to support scalable data workflows. This freelance role involves maintaining AWS projects and providing technical guidance to data engineering teams.
The Senior Data Architect & Engineer will design and implement scalable cloud-based data architectures while managing pipelines and data governance. The role involves collaborating with data scientists and providing technical leadership to engineering teams.
The FP&A Data Platform Engineer will design a scalable Fabric lakehouse and automate payroll and planning inputs using Power Apps and Power Automate. The role involves standardizing data models and collaborating with cross-functional teams to support finance reporting.
The MLOps Engineer will build and maintain the data infrastructure and automation for an AI team, focusing on offline-capable environments and data pipeline management. The role involves managing Linux servers, containerization, and ML lifecycle tools like MLflow or DVC to support data workflows.
The Senior AWS Cloud Data Platform Engineer will optimize cloud data platforms and manage data integration pipelines. The role involves designing infrastructure as code, creating application blueprints, and supporting data engineering teams.
The Senior Data Analyst/Engineer will design and maintain data pipelines and analytical dashboards for a client in the automotive sector. The role involves using SQL, Python, Power BI, and Databricks to ensure data quality and support business decision-making.
Data Engineer designing and developing big data solutions—covering collection, storage, and modeling—and deploying Spark pipelines in production on cloud platforms (AWS/GCP/Azure) for client projects.
Data Engineer on a strategic data platform project, designing and industrializing ETL/ELT pipelines in a secure cloud environment using AWS and Snowflake, collaborating with Data, DevOps, Architecture, and Security teams.
This senior data engineer role involves developing a personalization context service and data platform on Google Cloud Platform to support machine learning models. The engineer will work with technologies including BigQuery, DataFlow, Kafka, and Terraform to process data from sources like Google Tag Manager.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
){kind=logo}