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.
At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe. Join our client's team, where you'll play a key role in shaping a next-generation Software Security platform…
Develops secure, scalable identity and access solutions using cloud-native APIs and event-driven workflows on Google Cloud Platform for a global financial enterprise.
DevOps Engineer automates and secures cloud-native Identity & Access Management platforms for a global financial institution using Kubernetes, Terraform, and CI/CD pipelines.
The Backend Engineer will build and operate AI-powered agentic systems for the Studio product, which automatically generates soundscapes for video content. The role involves working with Python, Go, GraphQL, and GCP to manage video analysis pipelines and conversational assistants.
Builds and maintains Google Cloud infrastructure (Kubernetes/GKE, CI/CD, monitoring) for a public-sector platform, using Terraform, Helm, and Cloud-native tools to support scalable, regulated environments.
Platform DevOps engineer on a 5-month contract owning Google Cloud infrastructure for a large-scale public-sector platform, focusing on GKE, Helm, Terraform, CI/CD pipelines, and cloud-native monitoring.
A Kotlin DevOps Engineer builds and maintains scalable backend services on Google Cloud Platform for Deutsche Bank’s greenfield platform, using XP practices like mob programming and TDD to ensure high code quality and system reliability in a fintech environment.
Senior full-stack engineer building a global digital-health platform that combines GLP-1 medication with nutrition and coaching, using React, Node/Go, GraphQL, and GCP Kubernetes.
Build and scale a multi-brand telehealth platform for weight management and chronic care, using React, Node.js, Go, and GCP Kubernetes.
Build and evolve scalable backend APIs and microservices using C# and .NET 8 on Google Cloud Platform, with hands-on Kubernetes, Docker, observability via Dynatrace, and async messaging with Kafka and Pub/Sub.
An SRE Engineer ensures cloud-based systems are reliable, scalable, and resilient by managing Kubernetes, observability tools, automation, and incident response. Core focus: SLIs/SLOs, troubleshooting, and embedding reliability in software development.
Senior Java developer builds, maintains, and evolves cloud-native applications using Java/Spring Boot, microservices, and event-driven architectures. Focuses on containerization (Docker/Kubernetes), CI/CD, and collaboration across teams to ensure scalable, secure, and high-performance solutions.
Lead the design, automation, and operation of scalable cloud-native platforms on Google Cloud using Kubernetes (GKE), Terraform, Ansible, and Jenkins-based CI/CD pipelines with a strong DevSecOps focus.
Build low-latency, high-availability trading APIs in Node.js/TypeScript on GCP, handling real-time price streaming, order execution, and portfolio management for a leading online trading platform.
The Staff ML Engineer will architect and scale the Gaia Emblem engine, focusing on LLM integration, RAG pipelines, and GPU-aware infrastructure. This role involves leading technical strategy, mentoring engineers, and building high-throughput distributed systems for AI-powered data security.
The Digital Software Engineer will contribute to the ASX digital transformation program by designing and developing cloud-based digital services using a microservice, event-driven architecture. The role involves building and supporting digital solutions using Java, Spring Boot, and modern front-end frameworks within an agile environment.
The Senior Machine Learning and Artificial Intelligence Scientist will lead the development and production deployment of advanced AI and ML solutions, including generative AI and multi-agent systems, to drive business impact. The role involves working across cloud-native architectures like Azure, Databricks, AWS, and GCP to build scalable, reliable, and governed AI products.
Designs, automates, and optimizes cloud infrastructure on AWS/Azure/GCP, writes scripts to deploy and secure scalable systems, and monitors cloud spend and performance.
Cloud Data Engineer on the Cloud Strategy team designing, optimizing, and governing GCP-based data platforms with a strong emphasis on FinOps, cost optimization, and performance tuning of BigQuery, Dataproc, and Dataflow workloads.
Design and implement enterprise-scale cloud infrastructure across Azure and GCP, lead Kubernetes platform engineering, CI/CD automation, and security/compliance frameworks while mentoring engineering teams at a logistics company.
We couldn't check your fit for this role — add a CV to your profile to see it next time.