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.
This role involves conducting empirical computer science research and developing next-generation database and AI data infrastructure. The engineer will design and prototype high-performance data management systems using C, C++, Rust, or Go, while collaborating with academic institutions and internal product teams.
The Data QA Engineer will design and execute test programs for Databricks pipelines, ensuring data quality across bronze, silver, and gold stages. The role involves using AI-assisted tools to validate data accuracy and completeness for financial services clients.
Designs, maintains, and troubleshoots AWS data center infrastructure in London, focusing on power, cooling, and team training for high-availability environments.
The Senior Cloud Data Infrastructure Engineer will design and manage AWS-based cloud, data, and AI infrastructure to support a genomics-focused drug discovery platform. This role involves collaborating with scientists and engineers to build secure, scalable systems while providing technical leadership and mentorship.
This is a remote UK-based contract role for a Site Reliability or Platform Engineer focused on maintaining observability stacks. The core responsibilities involve managing Splunk, Elasticsearch, Prometheus, Grafana, and Kafka.
Designs and maintains scalable data infrastructure using Kafka, Kubernetes, and Terraform to support real-time streaming and cloud services.
The Data Platform Engineer will design, build, and maintain scalable data infrastructure for a banking client, focusing on real-time streaming and cloud services. The role requires expertise in Kafka, Amazon MSK, Kinesis, Kubernetes, and Terraform to ensure platform reliability and performance.
The Senior Backend Engineer will build the Flow Registry for GitLab's Duo Agent Platform using Python, LangChain, and LangGraph. The role focuses on developing secure and scalable backend primitives for agentic flows while occasionally supporting frontend tasks.
The Senior Backend Engineer will develop secure and scalable Flow Registry features for the GitLab platform using Python, LangChain, and LangGraph. This role involves collaborating with cross-functional teams to maintain high performance and improve testing within the Duo Workflow Service.
The Platform Engineering Lead will guide client engagements and build out the platform engineering practice at GlobalLogic, focusing on automation, observability, SRE, and AI agents. This role involves a mix of hands-on engineering, team mentorship, and presales activities to support business growth.
The Cloud Infrastructure Engineer will deploy and support Azure-based applications across production, staging, and development environments using DevOps practices. The role involves managing both on-premise and cloud workloads while collaborating with architecture and development teams.
Owns Azure-based CI/CD pipelines, Kubernetes deployments, and cloud automation to streamline software delivery, emphasizing automation, reliability, and security.
This role involves designing, building, and maintaining secure cloud-native platforms and CI/CD pipelines for a high-impact project. The position requires active DV clearance and experience across the full software delivery lifecycle.
The DevOps Engineer will manage AWS and on-premise infrastructure, focusing on automation, CI/CD pipelines, and secure, scalable service delivery. The role involves participating in a 24/7 on-call rotation and supporting change and release governance.
Design and optimize CI/CD pipelines, automate infrastructure, and improve observability for software products to enable safe, reliable releases.
Designs and implements scalable backend services using OpenAPI specs, configures API gateways (Kong/Envoy/Akamai), and enforces GitOps workflows with drift detection.
Designs and scales a high-performance computing (HPC) platform for hybrid cloud (AWS) to handle 1M concurrent tasks, improving reliability and operational efficiency with production-grade software.
Owns design, development, and optimization of scalable APIs and data export pipelines using Golang and cloud-native AWS services.
The Junior Data & AI Engineer will design and build scalable data platforms and intelligent business solutions. The role involves working with architects to integrate data pipelines, Big Data processing, and Generative AI within cloud environments.
The Junior Big Data & AI Engineer will work within the SerdatIA team to design data pipelines and ETL/ELT processes using PySpark and Azure Databricks. This is a 100% remote role focused on applied AI and data engineering projects.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
){kind=logo}