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Full Time Stealth Security Jobs (NOW HIRING)

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Full Time Stealth Security information

See salary details

$37K

$104.5K

$167K

How much do full time stealth security jobs pay per year?

As of Jul 3, 2026, the average yearly pay for full time stealth security in the United States is $104,452.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,000.00 and $117,500.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Stealth Security vs Full Time Security Guard?

AspectFull Time Stealth SecurityFull Time Security Guard
CertificationsSecurity license, possibly specialized trainingSecurity license, basic training
Work EnvironmentCorporate, high-tech, or sensitive facilitiesVarious settings including retail, events, and buildings
Employer & IndustrySecurity firms, corporate clientsSecurity companies, private or public sectors

Full Time Stealth Security and Full Time Security Guard both require security licenses and involve protecting property and people. Stealth Security often focuses on covert surveillance in high-tech or sensitive environments, while Security Guards typically perform visible patrols and access control. The roles overlap in credentials and industry usage, but differ mainly in approach and work setting.

What jobs make $1,000,000 a year?

Full Time Stealth Security roles typically do not reach $1,000,000 annually; such high earnings are usually associated with top executives, successful entrepreneurs, or highly specialized professionals in finance, technology, or investment sectors. These positions often require extensive experience, advanced skills, and significant responsibility or ownership stakes.

What jobs in the US pay 300,000 a year?

Full Time Stealth Security roles typically do not pay $300,000 annually; high salaries in security-related fields are more common in executive or specialized cybersecurity positions such as Chief Security Officer or cybersecurity director, which require extensive experience, certifications, and leadership skills. Most security roles at this level involve strategic oversight, risk management, and advanced technical expertise, often with additional bonuses or stock options contributing to total compensation.

Can you make $500,000 a year in cyber security?

Full Time Stealth Security roles in cybersecurity typically do not reach $500,000 annually, as most cybersecurity salaries range from $70,000 to $150,000 for standard positions. High-level executive or specialized consulting roles may earn higher incomes, but achieving $500,000 usually requires extensive experience, advanced certifications, or leadership positions in large organizations. Salary potential depends on skills, certifications, and the specific job environment.

What jobs pay 4000 a week without a degree?

Full Time Stealth Security roles typically do not pay $4,000 a week without specialized skills or experience. High-paying jobs that can reach this level often include sales, real estate, or certain skilled trades, but they usually require relevant experience, certifications, or a strong network rather than a formal degree. Most security-related positions focus on experience, training, and certifications rather than high weekly pay without a degree.
More about Full Time Stealth Security jobs
What are the most commonly searched types of Stealth Security jobs? The most popular types of Stealth Security jobs are:
Infographic showing various Full Time Stealth Security job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 63% Full Time, and 36% Part Time. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $104,452 per year, or $50.2 per hour.

Head of Infrastructure, Stealth Edge AI Co

Montauk Capital LLC

New York, NY • On-site

Full-time

Posted 27 days ago


Job description

Head of Infrastructure
Full Time, NYC / NJ Area Preferred
About Montauk Capital
Montauk Capital builds and backs companies at the forefront of the Electron Economy, the generational shift towards electrified, intelligent technologies reshaping industries and driving unprecedented demand for energy. Our team combines deep investing acumen with decades of operating experience to give founders the strategic clarity and hands-on support that accelerates the building of enduring companies of consequence.
About Stealth Edge AI Co
Co-founded by Montauk Capital, Stealth Edge AI Co is a pre-seed venture specialized in modular, metro-edge AI capabilities. By leveraging existing infrastructure for inference deployment, Edge AI provides low-latency, SLA-guaranteed performance across diverse GPU SKUs and colocation environments. Our technology intelligently routes traffic based on demand proximity and real-world network limitations, bypassing the heavy power and infrastructure requirements of traditional hyperscalers. Currently initiating operations with pilot nodes in NYC, we are executing a city-by-city expansion strategy with plans for a broader multi-metro rollout.
About the Role
We're building the automation, orchestration, and monitoring layer that unifies disparate metro edge GPU nodes into a single software-managed compute platform. You'll own the definition, design, implementation, and execution of the hardware and infrastructure buildout, executing strategy across edge data center requirements, GPU selection, supply chain, technical implementation, operational maintenance and deployment as we scale. You'll take the foundational groundwork and execute across the entire hardware and infrastructure side of our company, transforming our roadmap into production scale compute for AI inferencing.
You'll ensure the GPU clusters deliver on customer requirements, are highly-available, and will be the hands on expert for the hardware side of our business. Most importantly, you'll turn our high-level plans into real, technical execution, and will play a key role in making supply chain decisions about infrastructure and how we deploy, scale, and support it.
What You'll Do
  • Own GPU infrastructure design and implementation details from planning through deployment
  • Own hardware selection, configuration, and deployment across early compute infrastructure
  • Help turn early technical groundwork into a functioning deployed system
  • Own the GPU roadmap we use to entice customers and build partnerships
  • Deploy, operate, and tune GPU clusters for both bare-metal and internal software stack
  • Own resilient networking implementation from each site to the cluster, including a robust OOB network for constant monitoring and management
  • Manage deployments at production scale
  • Interface with site ops on power, cooling, and connectivity
  • Build the automation and monitoring stack for distributed edge nodes
  • Own the supply chain for all infrastructure gear
  • Manage third party hardware vendors on provisioning, maintenance and break-fix support

What You'll Bring
You're a strong infrastructure engineer experienced with hardware deployment, data center environments, GPU selection, systems setup and design. You can manage the implementation details end to end and have ownership over the entire process. If AI infrastructure is your jam and you've built systems in production, we want to talk.
  • Strong infrastructure engineering experience and systems-level technical judgment
  • Experience deploying or managing compute infrastructure in real-world environments
  • Experience with data center, hardware, or GPU-based systems implementation
  • Experience owning GPU provisioning, hardware selection, and systems configuration
  • GPU scheduling and orchestration specifics: GPU type awareness, memory management, topology considerations, placement strategies for multi-GPU jobs, and fragmentation minimization
  • Bare-metal provisioning lifecycle: IPMI/Redfish, BMC-based remote management, PXE boot, and automated OS deployment workflows
  • On-board storage
  • Observability stack: distributed configuration and troubleshooting, plus monitoring, alerting, and tracing
  • Deployment planning, Hardware configuration, Operational troubleshooting
  • Linux systems depth: RHEL/Ubuntu, low-level troubleshooting, shell scripting
  • Security and operational best practices for bare metal
  • Deployment tooling at production scale
  • Networking fundamentals for inference workloads and OOB management
  • Startup / 0→1 DNA: You ship fast and communicate clearly.

Why Join Us
  • Category-Defining Opportunity: Solving the AI inference bottleneck without the burden of power and infrastructure constraints
  • Massive Market Opportunity: AI spending projected to exceed hundreds of billions annually, 54GW of AI Inference demand expected by 2030
  • Studio Support: Leverage Montauk Capital's resources, network, and operational expertise during critical early stages
  • Competitive compensation + equity: True ownership over what you build