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Backend Engineer building and scaling core systems for an AI-driven logistics platform, working with Python/Node.js/Java, cloud services, and data pipelines.
Senior Backend Engineer builds scalable systems for a modern commercial real estate debt marketplace using Node/TypeScript/AWS or Python/Lambda/SQS, with potential AI model development.
Senior Platform Engineer at CoreWeave responsible for designing, operating, and scaling Kubernetes-based data infrastructure to meet high availability and low-latency requirements while ensuring security and reliability.
Designs and maintains scalable data pipelines and cloud-based analytics platforms to support business reporting and decision-making using Python, SQL, and PySpark.
Designs and maintains scalable data pipelines and models using Palantir Foundry, SQL, Python, and PySpark to support analytics and reporting for government and enterprise clients.
Builds and maintains cloud data pipelines and Tableau dashboards for a state agency, enabling self-service analytics and reporting.
Builds and optimizes the AI simulation platform that powers Simile’s generative-agent society models, focusing on distributed training, inference, and ML infrastructure to enable fast, cost-effective research-to-production pipelines.
Design, maintain, and optimize Elastic Stack data pipelines for a DoD cybersecurity environment, integrating telemetry and ensuring data quality.
Lead Software Engineer building secure, scalable banking platforms using Java, Spring, microservices, and cloud services while mentoring a team and integrating AI-assisted tools.
Maintains and tunes security tools (SIEM, EDR, NDR) and provides escalation support to the SOC, troubleshooting issues and analyzing alert trends in customer environments.
Location: London (Hybrid) with occasional client travel Salary: Up to £60,000 We're recruiting for a Data Engineer to join a growing consultancy, delivering production-grade data platforms for some of the UK's…
Design and build scalable cloud data pipelines using Snowflake, AWS, Python and SQL to power real-time analytics and automation for millions of users.
Designs and delivers enterprise-scale AI platforms for a major bank, focusing on cloud-native GCP solutions, MLOps/LLMOps, and secure generative AI deployments.
Senior Data Engineer to modernize and scale a US retail eCommerce platform, building cloud-native data pipelines and warehouses using Azure Synapse, Data Factory, Databricks, and PySpark.
Leads AI and data product strategy for Mastercard’s payments ecosystem, defining roadmaps for GenAI, predictive analytics, and customer intelligence solutions while collaborating with engineering and commercial teams.
Build and optimize scalable data pipelines on GCP for analytics and AI products, using BigQuery, Dataflow, Dataform, and Pub/Sub.
Build and deploy production-grade AI data pipelines and systems for enterprise-scale natural language processing and data extraction at a global financial intelligence provider.
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable.…
Maintains and optimizes a SIEM/SOAR platform, onboards log sources, tunes detections, and builds dashboards to support a 24/7 SOC and incident response.
Build and deploy production-grade AI data pipelines and systems for natural language processing, data extraction, and information retrieval at enterprise scale.
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