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Stealth Security Jobs (NOW HIRING)

Stealth Solutions, Inc.

Salesforce Architect

Sterling, VA · On-site

$150K - $175K/yr

Paid time off Stealth Solutions is seeking a highly experienced and strategic Salesforce Architect ... Define system architecture, data models, security models, and integration patterns across ...

Stealth Solutions, Inc.

Salesforce Developer

Sterling, VA · On-site

$80K - $130K/yr

Paid time off Stealth Solutions is seeking an experienced and driven Salesforce Developer to design ... S. Government security clearance * Candidate must reside in the U.S., be authorized to work in the ...

Stealth Solutions, Inc.

Salesforce QA Tester

Sterling, VA · On-site

$70K - $115K/yr

Paid time off Stealth Solutions is seeking a detail-oriented and methodical Salesforce QA Tester to ... S. Government security clearance * Candidate must reside in the U.S., be authorized to work in the ...

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Showing results 21-40

All JobsStealth Security Jobs

Stealth Security information

See salary details

$37K

$104.5K

$167K

How much do stealth security jobs pay per year?

As of Aug 13, 2026, the average yearly pay for 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 are the key skills and qualifications needed to thrive as a Stealth Security professional?

To thrive as a Stealth Security Professional, you need expertise in surveillance, threat assessment, and physical or cyber defense, often backed by relevant security certifications or law enforcement/military experience. Familiarity with advanced security technologies such as CCTV systems, intrusion detection software, and encrypted communication tools is typically required. Discretion, situational awareness, and strong problem-solving abilities are crucial soft skills for excelling in sensitive environments. These skills are vital to effectively identifying and mitigating threats while maintaining confidentiality and safety.

Which stealth security job pays the most?

In the security industry, roles such as security operations manager or security director typically offer the highest salaries, often exceeding $70,000 annually. These positions require extensive experience, leadership skills, and sometimes specialized certifications like CPP or PSP. Compensation varies based on location, employer, and level of responsibility.

What is Stealth Security?

Stealth Security refers to methods and technologies used to protect people, property, or information without being easily detected. This can include security patrols, surveillance systems, and cybersecurity measures that operate discreetly to identify and prevent threats. The goal is to provide effective protection while minimizing the visibility of security operations, making it harder for potential intruders or attackers to detect and bypass security measures. Stealth Security is commonly used in high-risk environments, private estates, corporate offices, and online systems.

What is the difference between Stealth Security vs Security Guard?

AspectStealth SecuritySecurity Guard
CredentialsSecurity license, background checkSecurity license, background check
Work EnvironmentEvent venues, corporate offices, retail storesPublic spaces, private properties, malls
Employer & IndustrySecurity companies, private clientsSecurity companies, private and public sectors
Common Search IntentSpecialized security services, covert securityGeneral security services, patrols

Stealth Security and Security Guard roles both require security licenses and work in various environments. However, Stealth Security often involves covert or specialized security tasks, while Security Guards typically focus on visible patrols and access control. Both roles are essential in the security industry but serve different operational needs.

What are some common challenges faced by professionals working in Stealth Security roles, and how can applicants prepare for them?

Professionals in Stealth Security often encounter the challenge of maintaining a low profile while ensuring comprehensive security coverage. This requires being highly observant, adaptable to changing situations, and capable of quick, discreet decision-making. Applicants should prepare by developing strong situational awareness skills and learning best practices for covert surveillance and communication. Teamwork is essential, as Stealth Security personnel often coordinate closely with other security staff to respond effectively to potential threats while remaining unobtrusive.
More about Stealth Security jobs
What are the most commonly searched types of Stealth Security jobs? The most popular types of Stealth Security jobs are:
What states have the most Stealth Security jobs? States with the most job openings for Stealth Security jobs include:
What job categories do people searching Stealth Security jobs look for? The top searched job categories for Stealth Security jobs are:
Stealth Security jobs near you
Infographic showing various Stealth Security job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 100% In-person 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

Re-posted 8 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

Apply