Engineering Manager Linux Team Jobs

Engineer, Product & System Engineering (Media Health Manufacturing), Heterogenous Integration - High Bandwidth Memory — Fab 10A, Singapore. Apply via Workday.

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Data Engineering team builds and maintains the foundational datasets that power decision-making across Robinhood. We design reliable, scalable data systems that support product analytics, growth strategy, financial reporting, experimentation, and machine learning. The team partners closely with Product, Engineering, Data Science, and Finance to ensure accurate, well-modeled data is available to teams across the company. Our work directly influences how Robinhood measures performance, improves customer experience, and scales its products. As a Senior Data Engineer, you will design, build, and evolve core datasets that track product performance and company-wide metrics. You will develop scalable data pipelines that ingest application events and database snapshots into our data lake, ensuring high data quality and reliability. You’ll collaborate with application engineers to improve data generation patterns and with analytics teams to design intuitive, well-documented data models. This is an opportunity to shape the technical foundation that supports data-informed decisions across the organization! This role is based in our Menlo Park, CA office, with in-person attend

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Director, Platform Engineering Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships, and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Role Summary Director, Platform Engineering At Mastercard, the pace of change across technology, AI, and the nature of work requires that we constantly push the boundaries for the technologies in building and operating infrastructure and applications globally. The Director, Platform Engineering is a critical technology and engineering leadership role within Operations Automation Program accountable for advancing our infrastructure and platform automation strategy through innovation and effective problem-solving. This role focuses on analyzing, coding, and delivering software an

Senior Data Scientist, AI Engineering — Dublin, Ireland. Apply via Workday.

Technical Lead, GenAI & Automation Engineering (Risk Engineering) — McLean, VA. Apply via Workday.

Director, Software Engineering & Architecture - FreeWheel — IL - Chicago, 350 N. Orleans St 1300N. Apply via Workday.

Lead Data Scientist, AI Engineering — Dublin, Ireland. Apply via Workday.

Senior Data Scientist, AI Engineering — Dublin, Ireland. Apply via Workday.

Vice President, Software Engineering — Pune, India. Apply via Workday.

Senior Engineer, Product Engineering (Media Health Reliability), Heteregenous Integration - High Bandwidth Memory — Fab 10A, Singapore. Apply via Workday.

Specialist, Engineering Services — Mumbai, MH. Apply via Workday.

Principal Engineer, Product Engineering, Media Health Reliability, HIG-HBM — Fab 10A, Singapore. Apply via Workday.

Technician, Product Development Engineering — MSB, Singapore. Apply via Workday.

Engineer, Product Development Engineering Key Equipment Group (PDE KEG) — MSB, Singapore. Apply via Workday.

ENGINEER, FE GLOBAL MANUFACTURING ENGINEERING — Fab 10A, Singapore. Apply via Workday.