You will build core data platform capabilities, including services and APIs for data access, ingestion, and synchronization. Additionally, you will own execution reliability by implementing orchestration, retries, and observability to ensure data correctness.
You will build core data platform capabilities, including services and APIs for data access, ingestion, and synchronization. Additionally, you will own execution reliability by implementing orchestration, retries, and observability to ensure data correctness.
The Senior Product Security Engineer will partner with engineering teams to embed security throughout the software development lifecycle. Responsibilities include conducting design reviews, threat modeling, penetration testing, and managing security compliance programs.
The Senior QA Engineer will own the end-to-end test strategy and automate testing processes within the SDLC. They will collaborate with developers to integrate automated tests into CI/CD pipelines and ensure high software quality.
The analyst will evaluate technical controls, perform risk assessments, and validate evidence to ensure compliance with industry standards. They will also support AI governance initiatives and identify opportunities to automate compliance processes for improved operational efficiency.
You will design and maintain production-grade AI agent infrastructure across multiple cloud providers while building automation frameworks to streamline developer workflows. The role involves owning the end-to-end deployment lifecycle and collaborating with product teams to ensure reliable, secure, and scalable system operations.
Lead and facilitate business process workshops to capture requirements for a greenfield Oracle Fusion Cloud implementation. Own the end-to-end functional configuration of Inventory, Order Management, and Indirect Procurement modules.
The intern will support product discovery through customer research and competitive analysis while partnering with engineering and design to define requirements. They will also analyze usage data and assist in launching new AI-powered enterprise automation features.
Lead the full design lifecycle to create intuitive interfaces for multi-agent AI systems and complex enterprise workflows. Partner with product and engineering teams to build a consistent design system and ensure governance and trust in AI-driven processes.
