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.
Builds and scales evaluation infrastructure for AI agents at a data/AI platform company, designing systems that measure and improve agent quality across research and production.
Designs and runs the infrastructure that powers AI research at Databricks, building systems to schedule and orchestrate large-scale training and inference workloads across thousands of GPUs.
Builds and scales backend infrastructure for Databricks' data and AI platform, focusing on distributed systems, cloud storage, and scalable services using languages like Scala and Java.
Builds and scales Databricks' backend infrastructure, including cloud-agnostic platforms and developer tools, using languages like Java, Scala, or Go.
Builds and operates Databricks' internal data platform, including metrics stores, ETL frameworks, and orchestration tools, using Databricks products and open-source data tools at massive scale.
Lead a team building and scaling Databricks' Identity and Access Management systems, ensuring secure, reliable authentication and authorization at cloud scale for the world's top data and AI platform.
Research intern at Databricks focusing on adapting large language models and AI systems for enterprise domains using deep learning, PyTorch, and domain adaptation techniques.
Leads a backend engineering team at Databricks, building scalable distributed systems and infrastructure for data/AI workloads across cloud providers.
Designs and builds autonomous data systems for Databricks' Managed Tables, optimizing storage and performance at massive scale using distributed systems and AI-driven tools.
Lead the design and development of Databricks Unity Catalog’s enterprise-grade data governance features, setting technical direction for security, scalability, and usability while mentoring engineers.
Designs and builds reusable UI components and frontend architecture for Databricks' data and AI platform, using modern JavaScript frameworks and TypeScript.
Designs and builds distributed data storage and processing systems for Databricks' big data platform, focusing on Apache Spark, Delta Lake, and cloud storage backends like AWS S3 and Azure Blob Store.
Lead the technical vision and build the control plane for Lakebase, a managed Postgres layer that unifies operational data, analytics, and AI. Hands-on role in Go/Rust, PostgreSQL, and Kubernetes.
Build and lead the Spark Structured Streaming engine, designing state-of-the-art stream processing features and improving latency, throughput, and cost for Databricks’ data and AI platform.
Designs and implements big data architectures for enterprise customers using Databricks' platform, APIs, and open-source tools like Spark and MLflow, while collaborating with sales and engineering teams.
Solutions Architect at Databricks designs and implements data and AI solutions for customers using the Databricks platform, Apache Spark, and cloud technologies.
Builds and improves Databricks' data and AI platform UI/UX, focusing on scalable frontend features for data workflows, dashboards, and collaborative projects using modern JavaScript frameworks.
A senior engineer at Databricks designs and scales core data platforms like workspaces and notebooks, using distributed systems in Python/Java/Scala to support 10X–100X growth and improve developer experience.
Designs and builds next-generation database engine internals for Databricks' Lakehouse platform, focusing on query optimization, distributed execution, and storage systems to outperform traditional data warehouses.
Builds and optimizes distributed data storage and processing systems for Databricks' big data and AI platform, working on projects like Apache Spark, Delta Lake, and performance engineering.
We couldn't check your fit for this role — add a CV to your profile to see it next time.