Remote Cloud Computing Engineer Principal supporting Veterans Affairs systems focusing on Azure (GovCloud) and CI/CD automation.
Compensation
Salary Range: $109,623 - $126,790
Responsibilities
Create data flow diagrams, cloud diagrams, transition diagrams, and high-level architecture diagrams on Cloud Infrastructure, applications, and systems
Design, develop, deploy, and operate automation technologies for continuous integration and continuous delivery (CI/CD)
Manage and control permissions in the cloud service provider for each cloud application, storage, and service being hosted
Implement, manage, and design monitoring capabilities for cloud architecture and cloud-hosted systems and applications to ensure optimal performance and compliance with VA/Federal policies
Provide customer-focused support for Product lines and Services, including setup, configuration, and provisioning of VA Enterprise Cloud (VAEC) environments
Requirements
Bachelor’s degree in Computer Science
Systems Engineering
Cloud Engineering
Master’s degree in the same fields
Nice to have: Microsoft Certified: DevOps Engineer Expert
Lead expert in data and platform engineering for NVIDIA’s DGX Cloud organization, responsible for building, managing, and operating the DGXC Data Platform.
Compensation
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 248,000 USD – 391,000 USD. You will also be eligible for equity and benefits.
Responsibilities
Define architecture and multiyear technical roadmap
Lead delivery across platform engineers, data producers, and consumers
Build and operate reusable batch and streaming ingestion capabilities
Establish shared identifiers, data contracts, and automated quality capabilities
Guide cataloging, lineage, and governed access
Requirements
Bachelor’s degree in Computer Science, Engineering, or a related field
Engineer II supporting Coffeehouse Design & Development and Global Coffee & Sustainability, developing and maintaining applications that support the lifecycle of store and sustainability initiatives globally.
Responsibilities
Design, develop, test, and deploy well-defined features and enhancements that support business capabilities and operational initiatives.
Clarify requirements, identify implementation tasks, and deliver solutions in partnership with technology and business teams.
Contribute to solution designs and implement components using established architectures and Starbucks engineering standards.
Build secure, maintainable, and reliable application components; consider scalability, error handling, and production readiness.
Use approved AI-assisted engineering tools to support development, testing, documentation, and refactoring.
Lead failure analysis and hardware resiliency for Azure cloud infrastructure, driving detection, prediction, and repair of hardware failures across millions of servers.
Compensation
Hardware Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Responsibilities
Lead failure analysis across server components
Define signals, thresholds, diagnostics and repair recipes
Improve isolation accuracy for repairs
Partner with software engineers and data scientists on detection rules
Leverage AI-powered tools and data-driven insights
Develop and maintain database solutions for Konami Casino Management System (SYNKROS™) using Oracle technologies.
Responsibilities
Design and develop database solutions with Golden Gate, Oracle Data Guard, Advanced Queuing, PL/SQL stored procedures, Triggers, APEX and other Oracle technologies
Analyze and design schema level changes to minimize downtime during upgrades
Document database object changes between versions
Propose database changes for internal and customer requested features
Estimate development and test hours for database projects
Imagine making AI coding tools more effective for tens of thousands of Microsoft engineers—that’s what you’ll do on the Engineering Thrive Insights team.
Compensation
Data Science IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $133,800 - $219,200 per year.
Responsibilities
Define success metrics, design and analyze experiments, develop statistical and machine-learning models, and uncover opportunities to improve AI-assisted software development.
Build rigorous measurement frameworks, evaluate product changes, and translate complex behavioral and product data into recommendations for engineering and product teams.
Deepen expertise in experimentation, causal inference, developer productivity frameworks such as DORA and SPACE, AI product evaluation, and privacy-conscious analytics.
Prototype and develop AI models using containerized environments to operationalize, build, and validate scalable tools/applications/solutions.
Develop and deploy systems for basic retrieval-augmented generation workflows, assisting in the selection of data sources, retrieval systems, and generative models.
Requirements
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
Lead critical manufacturing governance programs, develop frameworks, and partner with cross‑functional teams to improve stability, equipment health, and quality performance.
Responsibilities
Lead rollout and maintenance of Frontline Stability Program initiatives across HBM and Non‑HBM manufacturing lines
Manage governance frameworks such as FEAT, EFM, and CESG
Establish operational benchmarks and monitoring mechanisms to improve manufacturing stability, equipment health, and quality performance
Work alongside Site Engineering, Quality, and Manufacturing departments to secure timely closure of issues and alignment with governance standards
Define and deploy machine auto‑trigger strategies based on equipment alarms, FDC, SPC, hotspot detection, and Sub‑Lot Soft Bin Limits
Requirements
Bachelor's degree or equivalent experience in Mechanical, Electrical, Manufacturing, Industrial, Mechatronics, Semiconductor Engineering, or a related field
Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
Nice to have: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field with 1+ year data-science experience
Nice to have: Master's Degree with 3+ years data-science experience
Cloud Computing Engineer PrincipalNewSyms Strategic Group, LLC (SSG) · Remote, US
Client Partner Expert - Mercado AdsNewMercadolibre · Mexico
PDE MCT Governance Senior EngineerNewMicron Technology · Batu Kawan, Malaysia