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.
Designs and builds scalable GCP-based data pipelines using Dataflow, Pub/Sub, and BigQuery to ingest, process, and store batch and streaming data reliably.
Lead backend architecture for client systems using .NET, designing scalable services and RESTful APIs while guiding nearshore teams on GCP.
Builds and maintains cloud microservices and web apps that process Wi‑Fi network data from proprietary devices using Java, Spring Boot, Node.js, and TypeScript on AWS.
Build and scale the backend and infrastructure for an AI-native company that deploys real-time voice AI systems handling customer calls, quotes, and invoices for businesses.
Build and scale the backend services powering a regional fintech lending platform, using TypeScript/Python/Java, PostgreSQL, and GCP while collaborating with product and operations teams.
Builds and maintains the core backend infrastructure for an education platform, focusing on multi-tenant architecture and role-based access control.
Build and maintain scalable data pipelines and cloud infrastructure for Sievo’s spend-intelligence platform, using Python, SQL, Spark, and Azure tools to ensure reliable, production-grade data products.
Build and scale cloud-native data pipelines and infrastructure for a healthcare company, collaborating with analytics, BI, and AI teams to deliver reliable data solutions.
Build and model data pipelines for AI agents using Weld’s API and MCP, onboarding customers and designing warehouse setups for agentic workflows.
Build and maintain a C++-based trading stack for European power and gas markets, collaborating with traders to deploy strategies and exchange connectivity in a fast-paced startup spun out of a global trading firm.
Lead Technical Specialist - AI Solutions At TDCX, we believe that every career move should propel you forward. Work alongside innovative teams, support the growth of the world’s most forward-thinking brands, and…
Design and lead enterprise-grade AI/ML architectures for DHL’s logistics systems, including generative AI, MLOps, and cloud platforms like Azure and Google Cloud.
Build and scale the digital banking backend using Go, microservices, and AWS, while collaborating with product teams to deliver secure, high-performance APIs and ML pipelines.
Build and maintain GrabGPT Gateway, a unified LLM API gateway routing 60+ models across providers like OpenAI and Google Vertex AI, enforcing auth, rate limits, cost tracking, and streaming responses for all AI traffic at Grab.
Build and maintain the AI Enablement Platform using MCP, TypeScript, Node.js, and GKE to securely integrate AI models with DHL’s API ecosystem and logistics data.
Build and maintain Java-based microservices for a global financial institution using Spring Boot/Quarkus, Docker, Kubernetes, and AWS/OpenShift.
Build and maintain secure Java-based financial microservices using Spring Boot/Quarkus, REST/SOAP APIs, and cloud-native tools like Kubernetes and Azure DevOps.
Senior DevOps Engineer builds, automates, and maintains DHL’s global API platforms using Apigee, Kubernetes, and cloud tools, ensuring secure, scalable, and resilient operations.
DevOps Engineer driving AI-powered integration projects for DHL’s logistics IT backbone, owning end-to-end delivery, stakeholder management, and CI/CD pipelines using OpenText/GXS AI, Jenkins, and Splunk.
Lead a team building and operating scalable cloud services on AWS using Terraform, Java/Spring Boot, and DevSecOps practices to power Hilti’s digital infrastructure.
We couldn't check your fit for this role — add a CV to your profile to see it next time.