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Senior 200K Cyber Security Jobs (NOW HIRING)

Have closed complex, high-value deals ($200K+ ACV) with long, multi-stakeholder sales cycles ... Existing relationships with CISOs and senior security leaders. * Experience selling into financial ...

We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced ... Serve as senior technical interface to client IAM Directors, Enterprise Architects and CISO ...

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Senior 200K Cyber Security information

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$23K

$113.7K

$150.5K

How much do senior 200k cyber security jobs pay per year?

As of Sep 8, 2026, the average yearly pay for senior 200k cyber security in the United States is $113,704.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $129,000.00 per year, depending on experience, location, and employer.

What is a senior 200K cyber security professional?

A Senior 200K Cyber Security professional is an experienced cybersecurity expert who typically earns a salary of around $200,000 per year. These professionals are responsible for leading security initiatives, managing teams, and designing strategies to protect an organization’s digital assets from cyber threats. They often have extensive technical expertise, years of industry experience, and may hold certifications such as CISSP or CISM. Their work includes risk assessment, incident response, and ensuring compliance with security standards. Senior cyber security roles are critical for organizations that handle sensitive information and require robust protection against evolving cyber attacks.

What are the key skills and qualifications needed to thrive as a senior 200K cyber security professional?

To thrive as a Senior Cyber Security professional, you need deep expertise in threat analysis, risk management, and network security, typically supported by a relevant degree and advanced certifications such as CISSP or CISM. Mastery of security tools like SIEM platforms, firewalls, intrusion detection systems, and familiarity with cloud security frameworks is essential. Strong leadership, strategic thinking, and effective communication skills help you guide teams and influence organizational security decisions. These skills and qualities are vital for protecting critical assets, ensuring compliance, and proactively mitigating evolving cyber threats at an executive level.

What are some common challenges senior cyber security professionals face in managing large-scale security operations?

Senior Cyber Security professionals often contend with the complexity of securing diverse IT environments while ensuring compliance with evolving regulations. They must balance proactive threat detection and incident response with strategic planning and team leadership. Coordinating across multiple departments and keeping up with sophisticated cyber threats requires strong communication, adaptability, and continuous learning. Successfully navigating these challenges is crucial for maintaining robust security postures in large organizations.

What is the difference between Senior 200K Cyber Security vs Cyber Security Analyst?

AspectSenior 200K Cyber SecurityCyber Security Analyst
CertificationsCISSP, CISA, CEH, Security+Security+, CEH, CISSP (preferred)
Work EnvironmentLeadership roles, strategic planning, high-responsibility projectsOperational tasks, monitoring, incident response
Industry UsageUsed in senior roles across finance, tech, governmentCommon entry to mid-level roles in various industries

The Senior 200K Cyber Security role typically involves strategic decision-making, leadership, and advanced security planning, often requiring extensive certifications. In contrast, a Cyber Security Analyst focuses on monitoring, incident response, and operational security tasks. While both roles require relevant certifications, the senior position commands higher compensation and responsibilities, reflecting experience and leadership in the cybersecurity field.

More about Senior 200K Cyber Security jobs

What cities are hiring for Senior 200K Cyber Security jobs?

Cities with the most Senior 200K Cyber Security job openings:

What are the most commonly searched types of 200K Cyber Security jobs?

The most popular types of 200K Cyber Security jobs are:

What states have the most Senior 200K Cyber Security jobs?

States with the most job openings for Senior 200K Cyber Security jobs include:

Infographic showing various Senior 200K Cyber Security job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $113,704 per year, or $54.7 per hour.

Senior AI/ML Developer with TS/SCI + Polygraph

Aperio Global

Mclean, VA • On-site

$116K - $152K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago


Job description

Our Mission Statement
At Aperio Global, we bring together experts in cybersecurity, AI, data analytics, and cloud technologies to solve complex national security challenges. We focus on work where our expertise creates the greatest impact.
Our team includes technologists, Intelligence Community veterans, and security professionals who believe the best solutions come from collaboration, accountability, and technical excellence. From cyber operations and AI platforms to cloud-native software and emerging technologies, our work speaks for itself.
Come Solve With Us
We offer competitive pay, comprehensive benefits, retirement savings with company match, generous paid time off, and professional development. We invest in our people because great missions require great teams.
*** This position requires a current and active US Govt Security Clearance ***
TS/SCI with a POLYGRAPH is REQUIRED to be considered for this role.
Aperio Global is looking for a Senior AI/ML Developer to join an R&D team in McLean, VA focused on prototyping and evaluating emerging AI technologies. This is a hands-on engineering role in a fast-paced, experimentation-driven environment where you'll design, build, and iterate on cutting-edge solutions using Retrieval-Augmented Generation (RAG), large language models (LLMs), and modern data infrastructure.
You won't be maintaining legacy systems or sitting in status meetings. You'll be figuring out what works, documenting what doesn't, and helping shape how the team approaches complex technical challenges with AI.
Key Responsibilities
  • Design, develop, and prototype solutions leveraging RAG architectures, LLMs, and emerging AI/ML technologies
  • Build and iterate on proof-of-concept applications to evaluate and demonstrate new AI capabilities
  • Design, develop, and integrate RESTful APIs to enable data retrieval and exchange across systems
  • Own data modeling, querying, and performance optimization in PostgreSQL for AI/ML contexts
  • Collaborate with researchers and engineers to evaluate approaches, document results, and recommend technical next steps
  • Share insights and findings to support team-wide knowledge growth in AI/ML advancements

Minimum Qualifications
  • Active TS/SCI clearance with polygraph (required at time of application)
  • Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field; equivalent professional experience may substitute
  • 8+ years of relevant technical experience in software engineering and AI/ML development
  • Expert-level Python programming skills applied to machine learning and NLP systems
  • Hands-on experience designing and implementing RAG pipelines and LLM-based solutions
  • Demonstrated experience with large language models (LLMs), including prompt engineering, model evaluation, and transformer architectures
  • Experience designing and integrating RESTful APIs for data exchange and system integration
  • Deep expertise with PostgreSQL including schema design, complex querying, and performance tuning
  • Cloud infrastructure experience on AWS, GCP, or Azure including deploying and testing AI prototypes.

Preferred Qualifications
  • Experience with vector databases such as pgvector, Pinecone, Weaviate, or Chroma to support semantic search and AI/ML workflows
  • Familiarity with LLM orchestration frameworks such as LangChain, LlamaIndex, or Haystack
  • Background or interest in geospatial data, systems, or analytic tools (e.g., PostGIS, GDAL)
  • Experience developing or maintaining data pipelines, ETL workflows, or orchestration tools such as Airflow or Prefect
  • Familiarity with MLOps practices including model deployment, versioning, and monitoring
  • Background or interest in working with geospatial data, systems, or analytic tools.
    Experience developing or maintaining data pipelines and utilizing vector databases to support AI/ML workflows.

Salary range is dependent on experience level: 200k-240k
The salary range for this role represents Aperio's good-faith estimate of compensation at the time of posting. Placement within the range is based on multiple factors, including but not limited to an individual's qualifications, relevant experience, education, certifications, technical skills, contract labor categories and/or rates, work location, market conditions, and business needs.
Benefits
At Aperio Global, we understand the value of investing in our most important asset-our employees. That's why we have crafted a comprehensive benefits package designed to help you make the best decision for yourself, your family and your lifestyle. For additional details, contact our talent acquisition team.
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA) with 100% employer match up to 6%
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Short Term & Long Term Disability
  • Professional Development
  • (and much more)

Aperio Global is an equal opportunity employer. We are committed to building an inclusive workforce where all employees and applicants are treated with respect and fairness. Employment decisions are based solely on qualifications, merit, and business needs - never on race, color, religion, sex, national origin, age, disability, genetic information, military or veteran status, pregnancy/childbirth, sexual orientation, gender identity, marital status, ethnicity, or any other characteristic protected by applicable federal, state, or local law.