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Principal engineer building core Rust-based infrastructure for an AI platform that integrates with enterprise systems, focusing on scalability, reliability, and ML workflow support.
Builds and scales the backend systems powering Jeeves’ corporate cards, cross-border payments, and spend-management platform for global businesses.
Build and maintain Kubernetes-based infrastructure, CI/CD pipelines, and observability tooling to support 100–150 engineers, using AWS, Terraform, Python, and GitLab CI.
Build and maintain the internal platform and CI/CD pipelines that let 100–150 engineers ship code reliably, using AWS, Kubernetes, Terraform, GitLab CI, and Python automation.
Build and maintain the internal platform that lets 100–150 engineers ship code reliably; hands-on work with AWS, Kubernetes, Terraform, CI/CD, and observability tooling.
Build and maintain the internal platform that lets 100–150 engineers ship code reliably; own Kubernetes clusters, CI/CD pipelines, observability, and automation with AWS, Terraform, and Python.
Build and maintain Jeeves’s global fintech backend—processing payments, cards, and spend management—while integrating AI features into production systems using Go, Python, or Node.js.
Builds and optimizes low-latency backend services for real-time ad bidding, auction mechanics, and performance delivery using C++/Go and ad-tech protocols like OpenRTB.
Builds and optimizes high-throughput data ingestion pipelines and search systems to transform unstructured clinical text into structured oncology data models, using Scala/Elixir, OpenSearch, and OCR pipelines.
Lead the design and scaling of backend data systems for U.S. clients, integrating with their teams to build distributed data infrastructures on cloud platforms.
Designs, scales, and optimizes large distributed data systems and pipelines for U.S. clients, working in SQL and NoSQL environments.
Principal Physical Design Engineer at Microsoft to lead physical design implementation for cloud hardware, including floorplanning, synthesis, and tapeouts of complex ASICs.
Principal Engineer leading data-science strategy and ML solutions for energy-tech products, guiding teams through design reviews and patent processes.
Lead data-science strategy and mentor engineers, designing ML systems for a large technology company.
Leads data engineering initiatives at a global talent agency, designing and optimizing data pipelines to support recruitment and business intelligence.
Principal Java Engineer designing scalable backend systems, mentoring engineers, and leading projects using microservices, RESTful APIs, and cloud platforms like AWS or Azure.
Principal Backend Architect designs scalable distributed systems for multiplayer games, mentors engineers, and aligns backend architecture with live game services requirements.
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