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Build and operate AWS/Azure cloud infrastructure and Kubernetes clusters for a global asset manager, focusing on reliability, automation, and GitOps to support trading systems and AI workloads.
Build and maintain backend services and APIs for a SaaS security platform that protects enterprise cloud apps like Microsoft 365 and Salesforce using Python, Go, and cloud-native tools.
Build and optimize backend services that ingest, index, and serve complex financial data for AI-powered workflows using PostgreSQL, ClickHouse, Kafka, and ElasticSearch.
Senior Backend Engineer builds and maintains scalable SaaS security systems in Python/Go, designing APIs and multithreaded services for enterprise threat detection and breach prevention.
Designs and builds secure, scalable backend services and REST/GraphQL APIs in Java/Spring Boot, and integrates agentic AI workflows using LLM frameworks for automation and decision support.
Design and build secure, scalable backend services and REST/GraphQL APIs in Java/Spring Boot, and integrate agentic AI workflows using LLM frameworks for automation and decision support.
Build and scale an AI-powered legal automation platform in Python, integrating legacy government systems and modern generative AI to deliver corporate legal services.
Build and scale Python backend services for generative AI agents using LangChain/LangGraph, integrating LLMs and vector databases to power insurance and digital customer-service applications.
Build and scale AI agents and GenAI workflows in Python/Node.js to boost developer productivity and software quality, integrating with CI/CD and vector databases.
Build AI-driven backend systems in Python, designing agentic workflows and multi-agent systems while integrating data and APIs for generative AI solutions.
Build and scale cloud infrastructure and CI/CD pipelines for a psychological science startup integrating generative AI and ML, ensuring reliability, security, and rapid product delivery.
Build and scale cloud infrastructure and CI/CD pipelines for a behavioral-science AI platform, deploying ML models and ensuring reliability, security, and observability across AWS/GCP/Azure.
Build and optimize scalable search infrastructure using Elasticsearch, Solr, and vector databases to power fast, intelligent user experiences in a SaaS platform.
Design and deploy enterprise-scale AI solutions using LLMs, RAG, and Agentic AI to improve reporting, forecasting, and business intelligence in a hybrid London role.
Build and maintain a cloud-based pathogen genomics data platform using Python, Airflow, and Oracle/AWS/Azure to ingest, process, and secure genomic and clinical data for early epidemic warnings and diagnostics.
Principal Data Engineer builds and leads the AI data stack for Anaplan’s LLM and agentic systems, designing retrieval layers, vector/graph databases, and real-time GenAI features for enterprise planning workflows.
Design and build scalable data platforms and AI-driven architectures for enterprises, using AWS/Azure services, Python, and modern data patterns to enable AI transformations.
Principal Data Engineer builds and leads AI systems at Anaplan, designing retrieval layers, RAG pipelines, and GenAI features that integrate LLMs into real-time planning workflows.
Design and build a scalable data infrastructure for a global PE fund using Snowflake, dbt, and Azure Data Factory to support analytics and AI initiatives across investment teams.
Build and maintain data pipelines powering AI-driven SaaS security products, integrating with cloud services and APIs to detect threats and manage risks in enterprise environments.
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