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.
Develops and maintains systems software (OS, compilers, networking, databases) using Golang/Python, focusing on distributed systems, DevOps, and scalable architectures.
The AI Data Platform Engineer will lead the architecture of enterprise data platforms, managing ingestion, storage, and processing layers. The role involves designing scalable data pipelines and governance frameworks using technologies like Snowflake, Databricks, Spark, and Kafka.
The Cloud Data Architect will lead the design and strategy of enterprise data platforms, focusing on ingestion, storage, governance, and scalable infrastructure. The role involves collaborating with cross-functional teams to implement modern data solutions using technologies like Snowflake, Databricks, Spark, and Kafka.
Architect, deploy, and operate large-scale Apache Kafka and Confluent platform environments end-to-end, including cluster sizing, security, automation, and observability, using Kafka, Python/Bash/Go, and Terraform/Ansible.
The Lead Software Engineer will design and optimize large-scale ETL data pipelines and cloud-native data solutions using Python, PySpark, and AWS. This role involves managing modern data lake architectures and Snowflake environments while championing engineering best practices and AI-assisted development within a financial services context.
Data Engineer building an on-premises data platform using Kubernetes, Python, Golang, and SQL, focusing on batch/streaming pipelines and platform automation in a hybrid role in Dresden.
Sr. Data Engineer on Slack's Enterprise team at Salesforce, designing and scaling batch and real-time data pipelines, building scalable data models, and contributing to the GovSlack initiative. Core technologies include SQL, Python, Airflow, and data warehouse/OLAP environments.
Architects and leads the media-intelligence data platform for Adobe’s Firefly Foundry, designing scalable pipelines and search infrastructure to process, index, and retrieve multimodal media (images, video, 3D, audio) for AI agents and users, ensuring low-latency, high-recall retrieval at enterprise scale.
Designs, develops, and maintains systems software (operating systems, compilers, networking, databases) with a focus on distributed systems, debugging, and mentoring junior engineers. Core technologies: Golang, Python, SQL/NoSQL, Kubernetes, and DevOps tools.
This is a pre-sales technical role focused on designing and presenting cloud-native data engineering and streaming architectures to enterprise clients. The specialist will lead Proofs of Concept, influence product roadmaps, and provide deep expertise in technologies like Apache Spark, Kafka, and Flink to support AI-ready data foundations.
Wells Fargo is hiring a Software Engineer to build and maintain scalable, mission-critical banking platforms using Java, Spring Boot, and modern cloud-native technologies. The role involves designing microservices, processing real-time data, and utilizing AI-assisted development tools within an Agile environment.
Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference. As a…
Design, build, and operate large-scale Hadoop-based data processing pipelines and analytics platforms, ingesting and transforming massive volumes of structured and unstructured data using Spark, Kafka, Hive, and orchestration tools like Airflow.
Lead the architecture of an enterprise data platform spanning ingestion, storage, processing, governance, and consumption layers, using tools like Snowflake, Databricks, Spark, Kafka, and modern lakehouse formats.
Define and lead the architecture of an enterprise data platform (ingestion, storage, processing, governance, consumption) using tools like Snowflake, Databricks, Spark, and Kafka, partnering with engineering, ML, and business stakeholders.
Lead the design and delivery of production-grade Generative AI and LLM platforms at HPE, covering architecture, fine-tuning, RAG, and multi-tenant distributed systems using Python, Golang, AWS, and frameworks like LangChain and PyTorch.
Principal Engineer at HPE architecting and building production-grade Generative AI and LLM platforms using Python, Golang, AWS, and AI/ML frameworks like LangChain and PyTorch in a hybrid role in San Juan, Puerto Rico.
The Senior Data Engineer will build and maintain offline and real-time data warehouses for gaming business units, optimizing ETL processes and data governance. The role leverages ByteDance's big data stack, including Spark, Flink, and Kafka, to support game development and operations.
Design, develop, and maintain scalable ETL data pipelines on Databricks and Azure, integrating diverse data sources to support analytics, reporting, and ML while ensuring governance and reliability.
Обязанности: Решения на основе BigData - платформа кибербезопасности. На базе платформы решается широкий спектр критичных задач, в частности real-time обработка событий кибербезопасности для обеспечения защиты…
We couldn't check your fit for this role — add a CV to your profile to see it next time.