Lead and manage a blended team delivering application security and controls services, owning Oracle Fusion Cloud security architecture and governance across enterprise applications.
Compensation
Base pay range: $101,070 - $202,200
Annual performance bonus
Responsibilities
Lead, develop, and manage a blended team of employees, contractors, and consultants delivering application security and controls services
Own people management for direct reports, including hiring, onboarding, goal setting, performance management, coaching, career development, and recognition
Manage contractors and consultants end to end, including defining resource needs, scoping work and statements of work, onboarding and access, directing day-to-day work, reviewing deliverables, and managing performance and offboarding
Plan team capacity and resourcing, balancing employee, contractor, and consultant staffing against project demand, operational support needs, and budget
Own Oracle Fusion Cloud security architecture and role design, including job roles, duty roles, privileges, data roles, data access, and role hierarchies across enterprise application environments
The Offensive Security Engineer III leads complex, intelligence-informed adversary emulations to test how well the organization’s people, processes, architecture, and technology withstand realistic multi-stage attacks.
Locations (2)
Live Oak, Texas, United States
Texas, United States
Responsibilities
Lead complex, multi-domain adversary-emulation campaigns targeting critical services, high-value assets, privileged identities, cloud control planes, applications, data, and software delivery systems.
Translate threat intelligence and business context into campaign objectives, adversary profiles, attack hypotheses, target selections, techniques, success criteria, and measurable defensive outcomes.
Design engagement plans, rules of engagement, safety controls, communications, deconfliction, escalation paths, data-handling requirements, and technical workstreams.
Execute and supervise advanced attack activity involving stealth, persistence, identity compromise, lateral movement, cloud privilege escalation, application exploitation, data access, and objective demonstration.
The Data Engineer II is responsible for processing structured and unstructured data, validating data quality, and developing and supporting data products.
Compensation
Compensation includes a base salary in the range of $89,400.00 - $134,000.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.
Responsibilities
Process Structured and Unstructured Data
Ensure data quality and implement tools and frameworks for automating the identification of data quality issues
Work with internal and external data providers on data validation and provide feedback and customized changes to data feeds and data mappings
Partner with analytics organization to design viable data solutions
Recommend improvements to processes, technology, and interfaces that improve effectiveness and reduce technical debt
Requirements
Bachelor’s degree in Computer Science or related field
Master’s degree in Computer Science or related field
Design, develop and deploy data tables, views and marts in data warehouses, operational data store, data lake and data virtualization; build and maintain large-scale batch and real-time data pipelines; integrate and collate data silos; develop backend APIs and work on databases to support applications.
Compensation
Competitive Compensation: Market competitive salary and variable performance bonus aligned to your skills, impact, and contribution.
Responsibilities
Design, develop and deploy data tables, views and marts in data warehouses, operational data store, data lake and data virtualization
Perform data extraction, cleaning, transformation, and flow
Design, build, launch and maintain efficient and reliable large-scale batch and real-time data pipelines
Integrate and collate data silos in a manner which is both scalable and compliant
Collaborate with Project Manager, Data Architect, Business Analysts, Frontend Developers, Designers and Data Analyst to build scalable data-driven products
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