Lead network expansion, automation, and deployment initiatives for Oracle Cloud Infrastructure regions, collaborating with engineering, automation, hardware, and operations teams to deliver reliable hyperscale cloud infrastructure.
Locations (2)
Seattle, Washington, United States
Abilene, Texas, United States
Compensation
US: Hiring Range in USD from: $91,400 to $187,000 per annum. May be eligible for bonus and equity.
Responsibilities
Design, deploy, and operate large‑scale global cloud networks
Develop and maintain network fabrics, edge, backbone, and fiber metro networks
Automate network tasks using Python and automation frameworks
Provide 24x7 operational support during build phases
Lead technical initiatives and mentor junior engineers
Design, deploy, and operate large-scale global cloud networks for Oracle Cloud Infrastructure, managing data center fabrics, edge networks, and backbone connectivity.
Compensation
US: Hiring Range in USD from: $91,400 to $187,000 per annum. May be eligible for bonus and equity.
Lead the strategy, engineering, implementation, operation, and continuous improvement of enterprise telemetry platforms and services for NTT Global Data Centers.
Compensation
$218,800 - $312,500
Responsibilities
Lead the engineering, implementation, operation, and lifecycle management of enterprise telemetry platforms and services.
Establish the technical strategy, standards, and operational roadmap for telemetry capabilities.
Ensure availability, performance, security, scalability, and reliability of telemetry infrastructure and operational data collection services.
Onboard, integrate, and standardize operational systems and data sources into enterprise telemetry platforms.
Collaborate with Operational Technology Architecture to implement scalable, supportable, and maintainable telemetry solutions.
Requirements
Bachelor's degree in Computer Science, Engineering, Information Technology, Industrial Automation, or a related technical discipline.
Lead the design, development, and deployment of GenAI solutions and architect cloud-native applications for Visa’s Legal Technology organization.
Responsibilities
Lead the design, development, and deployment of GenAI solutions, including LLM integration, prompt engineering, RAG systems, and domain‑specific model customization.
Evaluate emerging AI capabilities and prototype innovative solutions to accelerate business transformation.
Drive experimentation frameworks that validate model performance, user experience impact, and production feasibility.
Architect cloud‑native applications capable of handling large‑scale, high‑availability workloads.
Oversee performance optimization, distributed processing, caching strategies, and operational monitoring.
Design, maintain, and optimize data pipelines within the Elastic ecosystem to support security analytics, threat detection, and operational monitoring.
Compensation
Salary: $155,000 Annually
Responsibilities
Configure and optimize data ingestion, storage, and retrieval within the Elastic ecosystem (Elasticsearch, Logstash, Kibana, Fleet) to enable high-volume, high-availability operations.
Design, maintain, and optimize scalable cybersecurity ETL pipelines using the Elastic suite of tools.
Develop transformations and enrichments for diverse security log and telemetry sources.
Maintain index templates, mappings, schemas, and data models supporting analytics and detection logic.
Implement data validation, deduplication, and quality controls to ensure data integrity.
The Supervisor, Driver Operations is responsible for overseeing the day-to-day activities of company drivers to ensure safe, efficient, and compliant transportation operations.
Compensation
For this position, the expected base pay range is $75K – $85 annuel.
Responsibilities
Supervise and provide leadership to a team of drivers, including performance monitoring, coaching, and ongoing support to ensure efficient and compliant transportation operations.
Conduct regular driver performance reviews and provide constructive feedback to support continuous improvement and operational excellence.
Foster a collaborative team environment that promotes safety, accountability, and high performance across the driver team.
Address and resolve driver-related operational issues, escalating concerns when necessary and ensuring timely resolution.
Plan, review, and optimize transportation routes to improve fuel efficiency, reduce deadhead miles, and ensure safe and on-time delivery of freight.
Requirements
High school diploma or GED required
Bachelor’s degree in Logistics, Supply Chain Management, Transportation, Business, or a related field preferred
Nice to have: Prior supervisory or leadership experience within transportation, trucking, or logistics operations
Nice to have: Experience working with Transportation Management Systems (TMS) and operational technology platforms
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