Senior technical authority and people leader for software architecture and integration within the Integrated Defensive Cyberspace System (IDCS).
Compensation
Pay Range $131,300.00 - $237,350.00
Responsibilities
Serve as the senior technical authority for software architecture, application integration, automation, and software engineering.
Lead and manage the Mission Systems and Mission Systems Integration & Automation teams.
Establish and maintain software architecture, engineering standards, design patterns, interfaces, and integration approaches.
Translate approved mission and customer requirements into software architectures, technical requirements, and implementation approaches.
Provide technical oversight for mission applications, C2 capabilities, SIEM/SOAR integrations, data analytics capabilities, and other software solutions.
Requirements
Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Systems Engineering, Information Technology, or a related technical discipline
Design, develop and improve the infrastructure and data-platform capabilities that enable scalable, reliable services.
Compensation
$134,000—$158,000 USD
Responsibilities
Design and develop scalable extract, transform, load (ETL) and extract, load, transform (ELT) data integration processes.
Support agentic infrastructure by provisioning and scaling the compute, model serving, and secure execution environments that AI agents need to run reliably in production.
Improve and optimize an on-demand predictive modeling platform using Python.
Use Kubernetes and Docker to orchestrate scalable deployments and manage containers.
Use contemporary hyperscaler environments to solve cloud-native engineering problems.
Requirements
Bachelor's or master's degree in computer science or engineering
Build and operate massive-scale cloud services leveraging state of art machine learning technologies in Oracle Cloud Infrastructure Generative AI Service team.
Compensation
US: Hiring Range in USD from: $105,900 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral.
Responsibilities
Design and build distributed, scalable, high-performance AI model training and serving systems
Optimize model performance and scalability
Deploy solutions into production in business-critical scenarios
Diagnose, troubleshoot and resolve issues in AI model training and serving
Requirements
BS in Computer Science
Nice to have: MS in Computer Science
Nice to have: cloud computing production experience