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Build and maintain the cloud infrastructure, Kubernetes clusters, and developer tooling that power AcuityMD’s AI-driven healthcare platform, ensuring reliability, security, and fast delivery for MedTech teams.
Design and build scalable security controls for MongoDB Atlas, enforcing runtime policies and integrating security into CI/CD and IaC workflows across AWS, Azure, and GCP.
Staff Software Engineer at Perk building and scaling travel and spend management systems using Python and AWS, with full-stack ownership and cross-team technical leadership.
Who we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition…
Lead architecture and development of AI-powered healthcare systems that scale, mentor engineers, and drive technical strategy for a virtual care platform serving women and children.
What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+…
Shape the future of trust in the age of AI At Oscilar, we're building the most advanced AI Risk Decisioning™ Platform. Banks, fintechs, and digitally native organizations rely on us to manage their fraud, credit,…
About Docnote Docnote is an early-stage Canadian health technology company reinventing how uninsured medical services are delivered. Physicians aren't compensated by provincial health insurance for tasks like sick…
Build and lead the core banking systems for Affirm’s new bank, setting architecture and standards for cloud infrastructure, data platforms, and AI-native tooling while ensuring regulatory compliance and seamless integration with Affirm’s ecosystem.
About BoxCast Launched in 2013, BoxCast is a complete professional live production platform trusted by thousands of organizations delivering over one million broadcasts annually. BoxCast serves a wide range of clients…
Designs and builds scalable data pipelines and platforms to power Checkr's AI verification services, using PySpark, Python, SQL, and AWS technologies.
Lead high-impact engineering for Pinterest's merchant systems, building AI-enhanced catalog and commerce platforms to improve merchant growth and operational efficiency.
Lead the backend architecture and implementation of a GenAI-powered agent to detect and fix conversion measurement issues for Pinterest’s ads marketplace, using privacy-preserving signals and performance metrics.
Leads the design and maintenance of a scalable identity resolution and data governance platform for a CTV advertising platform, using Spark/Scala and AWS to ensure privacy-safe, auditable data pipelines.
Staff Software Engineer on the Capacity Engineering team, responsible for optimizing one of the world's largest cloud-native infrastructures. Day-to-day involves improving efficiency of Kubernetes clusters and distributed systems at Pinterest scale, building profiling and optimization tooling, and collaborating with Infrastructure Engineering and SRE teams. Core technologies include Kubernetes, AW
Senior engineer designing and maintaining Oracle EBS-based finance systems and integrations at Pinterest, leveraging AWS and AI to modernize enterprise workflows.
Design and maintain Oracle EBS financial systems for revenue operations at Pinterest, integrating billing, receivables, and compliance while driving ERP modernization.
Lead the backend architecture for Pinterest’s AI-powered visual assistant, designing scalable systems for multimodal conversational experiences, memory, and tool integrations.
Staff engineer defining web architecture and data-fetching foundations for Pinterest’s client-side stack, enabling product teams to ship features reliably at scale using GraphQL/REST, Node.js, and modern frameworks.
Staff engineer on Pinterest's data platform team, designing and operating the data control plane: an Airflow-based workflow platform, a DataHub-based data governance/context platform, and Jupyter notebook infrastructure powering ML pipelines and analytics. Requires 10+ years building large-scale distributed systems and proficiency in Python or Java.
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