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.
Owns internal PaaS and data platforms that power Sardine’s real-time fraud and AML risk engine, ensuring 99.99% availability, optimizing GCP costs, and enabling AI/ML pipelines.
Principal Data Engineer builds and scales the data platform at JobGet, a mobile-first hiring platform, using Snowflake, dbt, Kafka, and real-time streaming to power AI-driven job matching and analytics.
Builds and maintains back-end systems for airport automation using Python, PostgreSQL, Redis, Docker, and Kafka to improve air traffic safety and efficiency.
Develops back-end systems in Python and DevOps tooling for airport automation and aviation infrastructure, using PostgreSQL, Redis, Docker, and Kafka.
Builds Python-based data pipelines and ML environments on GCP, using FastAPI/Flask and Kubeflow to process TV viewership analytics and automate Data Science workflows.
Build and migrate Java-based data pipelines to cloud platforms like Databricks and Snowflake, modernizing legacy ETL systems for enterprise clients.
Design, secure, and optimize AWS-based cloud infrastructure and CI/CD pipelines for a SaaS platform that turns 3D scans into immersive digital environments.
Build and automate cloud infrastructure for clients using IaC (Terraform/Pulumi), Kubernetes, and CI/CD pipelines; design secure, scalable systems on AWS/GCP with Go, Python, or Node.js.
Build and maintain high-performance Java applications using Spring for investment-banking systems, focusing on low-latency trading platforms and risk tools.
Build and maintain secure, scalable cloud infrastructure for client projects using AWS/GCP, Kubernetes, Terraform, and CI/CD pipelines.
Build and maintain secure, scalable cloud infrastructure for client products using AWS/GCP, Kubernetes, Terraform, and CI/CD pipelines.
Build and maintain cloud infrastructure and CI/CD pipelines for healthcare applications using AWS, Terraform, and Kubernetes to ensure secure, reliable deployments.
Develop and maintain backend/frontend systems, APIs, and databases for industrial weighing tech; manage Linux/Docker environments and support IoT integrations.
Develops clean, scalable code and APIs, designs databases, and maintains existing platforms using languages like Java, Python, or JavaScript.
Builds and integrates Python-based AI services using LLM frameworks (LangChain, LangGraph), RAG pipelines, and vector databases for enterprise clients.
Develops front-end, back-end, user interfaces, and integrations for digital products in sports, physiotherapy, and medical devices, using AI tools and modern stacks like React, .NET, and PostgreSQL.
Develops backend services in Java and PHP using Spring Boot and microservices, with optional cloud and IoT exposure.
Senior Java backend developer building and maintaining enterprise applications for a long-term client project, using core Java and distributed-team workflows.
Principal consultant advising enterprises on Generative AI, Agentic AI, and ML transformations on AWS, leading large-scale implementations and shaping cloud strategies for industries like FSI, telecom, and retail.
Builds and maintains systems that embed privacy-by-design into a ride-hailing platform, including data redaction pipelines and user-facing privacy controls.
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