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 a new identity security product using Ruby on Rails, working across the stack to prevent identity-based breaches while mentoring junior engineers.
Principal engineer leading the design and delivery of Huntress’s SIEM platform, building automated threat detection and human-powered hunting features using Ruby on Rails, Postgres, and AI-assisted workflows.
Reports to: Engineering Manager Location: Remote US Compensation Range: $200,000 to $220,000 base plus bonus and equity What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to…
About Us We're living through a fundamental shift in how people discover, evaluate, and purchase products. The next generation doesn't respond to traditional marketing -- they build relationships with brands…
Builds and optimizes LinkedIn’s next-gen infrastructure (data, storage, streaming, traffic) to enable AI-first, scalable, and reliable product experiences at massive scale.
Redesigns core data models, pipelines, and governance for a proptech platform’s vertical, collaborating with product/engineering teams to build scalable, modern data infrastructure.
The ML Developer will build and scale machine learning models and data pipelines for Sber's behavioral science laboratory. The role involves fine-tuning LLMs, designing RAG architectures, and deploying production-ready AI solutions using a stack including Python, FastAPI, and various MLOps tools.
Builds and maintains scalable data pipelines, ETL processes, and analytics infrastructure to support AI model training, feature stores, and business decision-making using cloud platforms and data warehousing tools.
Analyzes transaction and user data to detect fraud and improve quality controls using SQL and Python, building reports and automation for Ozon’s marketplace.
The Cloud Software Engineer will design, build, and operate high-scale distributed systems for telemetry ingestion and storage using Go, Kubernetes, and cloud infrastructure. This role involves maintaining platform reliability, participating in on-call rotations, and automating operational tasks to support ClickHouse's observability platform.
Senior Backend Engineer for a Customer Data Platform (CDP) team, building AI-driven event pipelines, Elasticsearch-based search/query layers, and sandboxed customer logic execution. Core stack: Node.js/TypeScript, Kafka, PostgreSQL, Kubernetes, and Claude Code AI agents for development.
Builds and maintains data pipelines for marketing systems, integrating BigQuery, ClickHouse, and external tools to support GTM and cross-functional teams.
Build and maintain dbt models and SQL transformations in BigQuery/ClickHouse to power reliable analytics and reporting across health, education, and media products.
Build and own end-to-end data pipelines from production databases into a governed lakehouse and Snowflake warehouse, transforming raw data into trusted metrics for analytics, AI, and business teams.
Backend developer building high-performance caching infrastructure for real-time flight price data; works with distributed systems, data storage, and query optimization using Go, Kafka, Redis, ClickHouse, and Kubernetes.
Builds and maintains scalable, distributed back-end systems for a SaaS platform with a focus on accessibility compliance, leveraging cloud-native tech, microservices, and AI-assisted development tools.
Builds and maintains data pipelines, infrastructure, and decision-making systems for ad targeting; models user personas and optimizes ad delivery using Spark, AWS, and ML.
The Staff Software Engineer will own the Graph Platform, managing knowledge graphs, data systems, and inferencing pipelines. The role focuses on scaling infrastructure, optimizing costs, and making critical architectural decisions for a high-growth AI-driven customer feedback platform.
Builds and operates Enterpret’s knowledge graph, data systems, and LLM hosting platform, ensuring reliability, performance, and scalability for customer feedback intelligence.
Design and optimize high-performance SQL and NoSQL databases, including time-series and OLAP/OLTP systems, for a company building AI-enabled software-defined vehicles.
We couldn't check your fit for this role — add a CV to your profile to see it next time.