Senior/Staff Data Engineer, Risk Control

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Description As a Senior/Staff Product Quality and Reliability Assurance Engineer (PQRA), you will support reliability qualification and quality monitoring of High Bandwidth Memory products (HBM), help develop product reliability methodologies, and respond to product deviations as they pertain to quality and reliability. You will establish and implement requirements, specifications and metrics such as Defects per Million (DPM), Failure in Time (FIT), and Lifetime. In this role, you will work with multi-functional Engineering teams to ensure product reliability methods are established and followed, perform risk assessments, and provide support for manufacturing teams regarding reliability issues. In this dynamic role, you will have opportunities to gain new product knowledge on an ongoing basis! You will: Conduct New Product Qualifications Define High Bandwidth Memory (HBM) qualification requirements Comprehend failures and failure rate within the scope of the qualification Perform risk assessment at all decision points within the qualification cycle Review qualification data and sign off that qualification requirements have been met Issue internal product release notifications for Qualification <

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Description As a Senior/Staff Product Quality and Reliability Assurance Engineer (PQRA), you will support reliability qualification and quality monitoring of High Bandwidth Memory products (HBM), help develop product reliability methodologies, and respond to product deviations as they pertain to quality and reliability. You will establish and implement requirements, specifications and metrics such as Defects per Million (DPM), Failure in Time (FIT), and Lifetime. In this role, you will work with multi-functional Engineering teams to ensure product reliability methods are established and followed, perform risk assessments, and provide support for manufacturing teams regarding reliability issues. In this dynamic role, you will have opportunities to gain new product knowledge on an ongoing basis! You will: Conduct New Product Qualifications Define High Bandwidth Memory (HBM) qualification requirements Comprehend failures and failure rate within the scope of the qualification Perform risk assessment at all decision points within the qualification cycle Review qualification data and sign off that qualification requirements have been met Issue internal product release notifications for Qualification <

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Description Position Summary As an IoT Engineer, Engineer based in Singapore, you will design, build, and deploy Industrial IoT (IIoT) and machine vision solutions to support advanced packaging technology development and factory enablement. You will implement hands-on engineering work from proof-of-concept through deployment and sustainment, contributing to scalable and secure solutions that improve quality, productivity, and early risk detection. You will collaborate cross-functionally to translate manufacturing needs into measurable signals, robust data pipelines, and actionable insights, while operating with a strong safety mentality and a bias for practical, reliable delivery. Key Responsibilities Develop and deploy IIoT solutions end-to-end: sensing strategy, edge compute, connectivity, data ingestion/storage, monitoring, and sustainment (including data quality and traceability). Build machine vision solutions: support hardware selection (cameras/optics/lighting), image acquisition strategy, algorithm development, performance validation, and deployment readiness. Work with process, equipment, automation, quality, and IT/data platfor

At Breeze, we're building the AI-powered infrastructure layer for global commerce, making it radically simpler for businesses to sell, get paid, and operate across markets. We go far beyond traditional payment processing. Breeze combines global payments, AI, stablecoins, and a Merchant of Record-like model to take on the complexity businesses typically manage themselves, including compliance, risk, fraud, chargebacks, reconciliation, and customer support. Our goal is simple: let businesses focus on building and selling great products while Breeze handles the complexity behind getting paid. Backed by Sequoia Capital , Multicoin Capital , and The Chainsmokers , Breeze is a successful, rapidly growing, and exceptionally well-capitalized company. We have the runway to think long term while remaining early enough that every person joining today can have a meaningful impact on what we build. We are hiring a Staff Machine Learning Engineer, Risk! As our Staff Machine Learning Engineer, Risk, you'll lead the evolution of our ML platform for payment risk, building the production-grade capabilities behind feature engineering, model training, deployment, monitoring, and continuous improvement. Risk decisions sit at the center of our business, and you'll own how those models get built, shipped, and kept healthy. This role reports to the CTO. You'll work closely with Risk, Software Engineering, and Data Engineering, and you'll be the senior technical voice for ML on the risk team. We're looking for someone who thrives in fast-moving environments, wants meaningful ownership, and is excited to build rather than simply maintain. What You'll Do Design and build ML infrastructure for payment risk detection, using Databricks as the core platform, in close partnership with software and data engineers. Bring structure to the team's ML environment: feature pipelines, versioning, job orchestration, and monitoring. Design and productionize models rather than just prototype them, including

OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the team: The OKX Data Engineering team is responsible for the whole data scope of OKG, from techincal selection, architecture design, data ingestion, data storage, ETL, data visualization to business intelligence and data science. The team has end-to-end ownership of most of the data at OKx throughout the whole data lifecycle including data ingestion, data ETL, data warehouse and data services. As a data engineer of the team, you will work with the team to leverage data technologies to empower evidence-based decision-making and improve the quality of the company's products and services. Responsibilities: Design, build, and maintain analytics-ready Data Marts using best-practice dimensional modeling (star/snowflake schemas) Partner with analytics and business teams to understand requirements and deliver trusted, well-documented datasets Design and build resilient and efficient data pipelines for both batch and real-time streaming data Architect an

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Senior Staff Data Center Operations (DCO) Engineer to join our team. This is a Hybrid role, reporting to the Datacenter Deployment Manager in the Network Infrastructure department. In this role, you will expand and optimize our global cloud security network by staging, provisioning, and maintaining high-performance bare metal hardware and infrastructure. You will collaborate closely with cross-functional engineering teams to validate build activities, troubleshoot complex staging environments, and continuously improve deployment processes. What you’ll do (Role Expectations) Provision new hardware and network devices in a staging environment to expand and supplement the global network Troubleshoot issues within the build environment and repair or replace server and network components and infrastructure Collaborate with maintenance, network, install, and platform engineering teams to execute and