Lead security integration for newly acquired companies, performing gap assessments, threat modeling, and infrastructure evaluations to meet Salesforce security standards.
Compensation
The typical base salary range for this position is $197,300 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,700 - $344,700 annually.
Responsibilities
Create comprehensive integration plans for security workstreams
Drive and close security work to bring acquired businesses under MSA, DPA, and SPARC frameworks
Perform comprehensive infrastructure assessments on acquired environments
Communicate clearly with newly acquired business partners
Prioritize critical security work in a fast-paced M&A environment
Requirements
Degree in Cybersecurity, Computer Science or a relevant subject area
Nice to have: Information security certifications (OSCP, OSEP, GPEN, GXPN, CISSP)
Nice to have: Cloud security certifications
Nice to have: Participation in bug bounty programs
Nice to have: Public research, blogging, presentations
An Advanced Cyber Unit Analyst – AI Specialist responsible for incident response, threat hunting, security automation, and AI in cyber security within a hybrid security operations and engineering role.
Compensation
$98,566 - $160,169-Annually
Responsibilities
Serve as a core member of the CIRT, receiving escalations from the SOC and owning them through full lifecycle management
Lead and support major incident response efforts, coordinating with engineering, IT, legal, and management
Conduct post-incident reviews and drive actionable remediation
Perform hypothesis-driven threat hunting during periods of low incident volume
Execute internal red team exercises and adversary emulation
Requirements
Associate’s Degree in Cyber Security, Computer Science, or Technology
Bachelor Degree in Cyber Security, Computer Science or Technology
Master’s of Science in Cyber Security, Computer Science or Technology
Technical Account Manager for HPC and Cloud solutions at NVIDIA
Responsibilities
Work with NVIDIA Cloud and Enterprise customers to resolve sophisticated technical issues
Own and resolve customer issues during installation, operation, maintenance or product application
Work with the latest hardware and software technologies such as GPUs, AI accelerators, high-speed interconnects, ML frameworks, Spark, Kubernetes, Ceph
Be a technical resource, develop, re-define, and document standard methodologies for support processes
Assist customers with technical inquiries, debugging, and resolving issues
Requirements
Bachelors degree or equivalent experience
Nice to have: large-scale HPC or AI cluster environments
Lead technical architecture and operations for Kubernetes-based platform reliability and distributed systems.
Compensation
The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Annual Salary USD 165,500 - 313,500 in Colorado // 157,000 - 361,000 in North Carolina
Responsibilities
Serve as the senior technical authority for Kubernetes platform architecture, reliability, and operational behavior.
Own the investigation and resolution of complex issues involving pod failover, service availability, control plane operation, network timeouts, resource scheduling, and cluster capacity.
Define and drive improvements to Kubernetes high availability, fault tolerance, and disaster-recovery strategies.
Establish clear technical ownership and operating models for platform capabilities.
Lead architecture, design, and implementation of platform improvements across multiple engineering teams.
Requirements
Nice to have: Kubernetes distributions (EKS, AKS, GKE, OpenShift)
Systems Engineer INewPanasonic · De Soto, US
System Administrator II (Linux)NewNa Ali'i Consulting & Sales, LLC. · Fort Belvoir, US