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.
Overview Quantum computing has the potential to massively accelerate science and technology innovation. Microsoft Discovery & Quantum group is building advanced computing platforms, spanning HPC, AI, and quantum,…
Who are we? Hi! We are Ravelin! We're a fraud detection company using advanced machine learning and network analysis technology to solve big problems. Our goal is to make online transactions safer and help our…
Automation Engineer Automations · [Full-time] · In-Person (Islamabad, PK) · Hours 6pm - 2am PKT About Nysonian Nysonian builds the next generation of global lifestyle brands, shaping how people travel, move, and live.…
Salary: £59,000 - 99,000 per year Requirements: 3 years building production backend systems Experience with cloud platforms, particularly AWS Python Ruby on Rails Kubernetes and Helm Charts IaC (Pulumi, Terraform)…
Citigroup is seeking a Senior Software Engineer to develop full-stack, cloud-native applications using Java or Python and modern JavaScript frameworks. The role involves building scalable systems with potential exposure to generative AI technologies.
Build and maintain Python-based data applications and ETL workflows for a healthcare-focused data intelligence platform, integrating systems like Snowflake and Airflow.
Full Stack Developer building and maintaining a React/TypeScript frontend and Node.js/Next.js backend for a live-events ticketing platform, with emphasis on automation workflows, scalability, and MSSQL databases.
The Senior Manager of Data Engineering will lead a team to design and maintain scalable ETL/ELT pipelines and data warehouse models. The role focuses on technical strategy, data governance, and cross-functional collaboration using Python, SQL, and cloud-based data platforms.
The Senior Data Engineer will design and maintain scalable data pipelines, ETL/ELT processes, and lakehouse architectures on Azure to support healthcare analytics. The role requires expertise in Python, SQL, and big data technologies like Spark and Kafka to ensure high-performance data processing and compliance.
Platform engineer building internal infrastructure tooling—CMDB, asset management, DCIM, monitoring, and automation—using Python/Go, PostgreSQL, Redis, Docker, and Terraform at a cloud compute provider.
Data Engineer on the Growth team building scalable Spark/Databricks pipelines for paid acquisition optimization, ML feature/training datasets, and attribution/experimentation layers at an AI productivity platform.
Lead Data Engineer at a multi-strategy hedge fund, building and scaling cloud-first data platforms (Python, SQL, Snowflake, AWS, Airflow) that power research, analytics, and investment decision-making across the firm.
Builds and optimizes data pipelines to stabilize enterprise systems, improve reporting accuracy, and establish scalable data foundations for clients. Focuses on ETL/ELT, data quality, cloud platforms, and collaboration with stakeholders to drive data-driven decision-making.
Senior Data Engineers will design and scale a Databricks Lakehouse platform using Medallion Architecture, Apache Airflow, dbt, and PySpark for a financial services consultancy's clients.
Job Title: Camunda Fullstack Developer We are looking for a highly skilled Camunda Fullstack Developer with strong expertise in workflow orchestration and full-stack development. The ideal candidate will have extensive…
Build secure, reproducible environments for running AI evaluations and agentic workflows using cloud infrastructure, Kubernetes, and backend services.
Build and maintain agentic AI workflows to automate document-heavy processes like intake, extraction, validation, and routing, integrating LLMs and APIs into production systems.
Senior Software Engineer at Voyager Technologies designing and building scalable geospatial data systems, especially for Synthetic Aperture Radar imagery, to support national security and space missions using Python, C++, and cloud tools.
Builds and maintains geospatial software systems, focusing on processing and visualizing large-scale SAR imagery datasets for national security and defense applications using Python and Linux.
Build and maintain a Python-based regulatory reporting platform that automates SARB returns using AWS, ETL pipelines, and data warehousing to replace manual spreadsheets.
We couldn't check your fit for this role — add a CV to your profile to see it next time.