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.
We are knowmad mood! Somos una compañía líder en transformación digital, en constante evolución y a la vanguardia de la tecnología. Nacimos para provocar un cambio real a través de la innovación y el desarrollo…
Build and maintain highly available, distributed microservice systems and infrastructure solutions (IaC, CI/CD, observability) powering Flexport's global logistics and freight-forwarding platform.
This is a senior-level full stack developer role requiring 12 years of experience in Java, Python, and modern frontend frameworks like React and Angular. The position focuses on building cloud-native applications on AWS with a heavy emphasis on Generative AI, LLMs, and machine learning integration.
Backend developer embedded at client sites in Gothenburg, building cloud-native services using Java, Spring Boot, Python, AWS/Azure, and Kubernetes with full DevOps lifecycle responsibility.
🚀 CUJO AI® is a leader in artificial intelligence solutions for network service providers. We use machine learning and real-world data to develop cybersecurity, device intelligence , network intelligence , and…
Salary: £? - ? per year Requirements: Expert experience working with AWS cloud services including EC2, RDS, Lambda and S3. Expert experience setting up and maintaining continuous delivery and deployment pipelines.…
This role involves building, deploying, and maintaining machine learning models and AI solutions within a banking environment. The engineer will focus on MLOps, cloud infrastructure, and integrating Generative AI and multi-agent systems to personalize digital customer experiences.
Build and optimize scalable backend services for a PAAS platform in the CTV/OTT advertising space using Java, Spring Boot, AWS, and distributed systems.
The Senior Java Developer will work within a microservices-oriented architecture and DevOps model to expand product pipelines and monitor system performance. The role requires expertise in Java, Spring Boot, and AWS cloud services.
A client-embedded AWS Pre-Sales Engineer focused on AI/data transformation, designing AWS-based solutions, building live demos, and leading deal origination for enterprise clients.
Senior Delivery Consultant on AWS Professional Services focused on Data Engineering, designing and implementing scalable AWS solutions for customers—especially public sector—with emphasis on data analytics and ML on AWS.
The BAU Lead - Data Engineering will manage data operations, production support, and platform stability in a cloud-first environment. The role involves leading a team to build and maintain data pipelines using AWS, Snowflake, Python, and Spark.
Designs, builds, and maintains scalable data pipelines and ETL/ELT workflows on AWS using Python, PySpark, AWS Glue, and Lambda. Manages cloud infrastructure with Terraform and ensures CI/CD pipelines, monitoring, and security compliance.
Designs and maintains an AWS Data Lake and Lakehouse platform, focusing on data ingestion, transformation, storage, security, and governance to ensure scalable, reliable, and cost-efficient data pipelines.
Lead day-to-day BAU data engineering operations and production support for a Singapore-based insurance company, focusing on AWS and Snowflake data platforms, pipeline development, and data migration.
Build and secure AWS-based data lakehouse pipelines for a government client, using Glue, Redshift, Lambda, and Lake Formation.
Data Engineer building and optimizing data pipelines, ETL processes, and storage solutions on AWS, Databricks, and Informatica IDMC for a Singapore-based company.
Design, build, and maintain CI/CD pipelines and automation solutions in a multi-cloud (AWS, Azure, GCP) environment using Kubernetes, Terraform, Jenkins, and other IaC and configuration management tools.
Backend developer building, deploying, and maintaining high-traffic application features using Node.js, Kotlin, and AWS serverless/cloud services.
The Cloud & DevOps Engineer will design, deploy, and manage cloud-native applications using AWS and Azure. The role focuses on Kubernetes, CI/CD pipelines, serverless architectures, and cloud security.
We couldn't check your fit for this role — add a CV to your profile to see it next time.