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Director Chaos Engineering Jobs in Silver Spring, MD

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Director Chaos Engineering information

See Silver Spring, MD salary details

$75.5K

$201.3K

$262.6K

How much do director chaos engineering jobs pay per year?

As of Aug 26, 2026, the average yearly pay for director chaos engineering in Silver Spring, MD is $201,286.00, according to ZipRecruiter salary data. Most workers in this role earn between $146,300.00 and $261,500.00 per year, depending on experience, location, and employer.

What is a director of chaos engineering?

A Director of Chaos Engineering is a senior technology leader responsible for overseeing the development and implementation of chaos engineering practices within an organization. Their primary goal is to improve system resilience by proactively testing how systems respond to failures and unexpected disruptions. This role involves designing and leading experiments that intentionally introduce faults to identify vulnerabilities, guiding teams in building more robust systems, and fostering a culture of reliability. They often collaborate with engineering, operations, and security teams to ensure best practices are followed across the organization.

What are the key skills and qualifications needed to thrive as a director of chaos engineering?

To thrive as a Director of Chaos Engineering, you need deep expertise in distributed systems, site reliability engineering, and a strong background in computer science or a related field. Familiarity with chaos engineering platforms (such as Gremlin or Chaos Monkey), cloud infrastructure (AWS, Azure, GCP), and relevant certifications like AWS Certified Solutions Architect are typically required. Exceptional leadership, problem-solving, and communication skills help drive cross-team collaboration and foster a culture of resilience. These skills and qualities are essential to proactively identify system weaknesses, minimize downtime, and ensure business continuity in complex technical environments.

What are some common challenges faced by a director of chaos engineering when implementing chaos experiments at scale?

A Director of Chaos Engineering often encounters challenges such as gaining buy-in from stakeholders who may be unfamiliar or skeptical about deliberately introducing failures. Coordinating chaos experiments across multiple teams and complex distributed systems requires careful planning to ensure safety and minimize unintended disruptions. Balancing the need for rigorous experimentation with ongoing business priorities and service reliability can also be difficult. Building a culture that values resilience and learning from failure is essential for long-term success in this role.

What is the difference between Director Chaos Engineering vs Site Reliability Engineer?

AspectDirector Chaos EngineeringSite Reliability Engineer
CredentialsAdvanced certifications in chaos engineering, cloud platforms, and leadershipCertifications in SRE, cloud, and DevOps tools
Work EnvironmentLeadership role overseeing chaos testing strategies across teamsOperational role managing system reliability and automation
Industry UsageUsed in organizations focusing on resilience and fault toleranceCommon in tech companies maintaining scalable, reliable systems
Search & ComparisonOften compared for strategic impact and leadership scopeCompared for technical expertise and system management

The Director Chaos Engineering focuses on leading chaos testing initiatives and shaping resilience strategies, while the Site Reliability Engineer handles the day-to-day reliability and automation of systems. Both roles are vital in ensuring system robustness but differ in scope and responsibilities.

What job categories do people searching Director Chaos Engineering jobs in Silver Spring, MD look for?

The top searched job categories for Director Chaos Engineering jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Director Chaos Engineering jobs?

Cities near Silver Spring, MD with the most Director Chaos Engineering job openings:

Director Chaos Engineering jobs near you

Operations Research Analyst, Mission Engineering

Washington, DC • On-site

CHAOS Industries
See more jobs at CHAOS Industriesexternal

$111K - $131K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago

Job description

CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantage-domain dominance. The company's products are powered by Coherent Distributed Networks (CDN™), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats.
CHAOS Industries was founded in 2022 and has raised a total of $1 billion in funding from leading investors, including 8VC, Accel, and Valor Equity Partners. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, San Diego, Seattle, and London. For more information, please visit www.chaosinc.com.
About the Team: Mission Engineering at CHAOS turns simulation output into decisions. We run large-scale modeling and simulation campaigns across all warfighting domains and the full kill chain, against named threats, in operationally relevant scenarios, at the speed engineering, operational, and customer teams actually need. Every CHAOS engineering trade, pursuit, and customer engagement is anchored in rigorous, physics-based, tactically relevant, and statistically valid analysis, and we're scaling the function to meet that bar across a growing product portfolio.
About the Role: On the Mission Engineering team at CHAOS, you will design, develop, execute, analyze, and validate models and simulations to deliver operational analysis and system performance assessment across defense, national security, and commercial programs. You will have freedom to move rapidly and use your expertise to apply rigorous statistical methods to analyze simulation outcomes, quantify system effectiveness, and communicate actionable insights to technical teams, leadership, and customers. Your work will directly inform critical decisions around sensor performance, mission planning, weapon effectiveness, and platform capability evaluation.
This is a foundational hire. You will shape how CHAOS does mission analysis from day one, and you will have the freedom to move fast.
What You'll Do:
  • Scope, plan, and execute modeling and simulation efforts and studies aligned to program objectives, managing your competing priorities and timelines effectively.
  • Develop, configure, and execute analysis using mission-level models and simulations such as AFSIM, ESAMS, Brawler, Ansys STK, and/or physics-based models to evaluate system and platform performance in operationally relevant scenarios.
  • Build and refine models of sensors, communications systems, aircraft (including unmanned), weapons, and spacecraft within mission-level simulation frameworks.
  • Architect, implement, and validate models of both blue and red systems, sensors, communications, weapons, aircraft, spacecraft, and ground/maritime platforms, within mission- and engagement-level simulation frameworks.
  • Define and apply rigorous statistical methodologies to simulation results to quantify measures of effectiveness and performance to produce relevant and defensible findings for internal and external stakeholders.
  • Develop and maintain Python-based analysis tools and pipelines for data processing, statistical analysis, and visualization.
  • Implement technical methodology, simulation best practices, and customer engagement.
  • Document methodology, assumptions, and findings in technical reports and briefing materials, including data visualizations, and present results to both technical and non-technical audiences.
  • Partner with engineering, product, growth, and customer teams to translate operational questions into well-structured analytical approaches and shape new business pursuits. Push back when the framing is wrong.

Minimum Requirements:
  • Bachelor's degree or higher in Computer Science, Aerospace/Software/Computer Engineering, Data Science, Statistics, Mathematics, Operations Research, Physics, or a related field.
  • 5+ years of experience supporting defense, intelligence, or advanced technology programs through industry or government employment.
  • Demonstrated track record leading mission-level operations analysis studies and delivering decision-quality results to senior engineering and customer stakeholders.
  • Extensive direct experience with combat simulations such as AFSIM, ESAMS, Brawler, Ansys STK, or equivalent, including ownership of rigorous methodology, not just execution.
  • Significant experience developing analytical tools and applying rigorous statistical methods to interpret and present results.
  • Strong proficiency in Python and MATLAB, including standard scientific computing libraries (such as Pandas, Polars, NumPy, SciPy, Scikit-Learn, Matplotlib, Seaborn, CuPy, or PyTorch).
  • Exceptional data visualization skills and comfort developing CONOPS/OV-1 visuals and briefing packages.
  • Proficiency with software development practices including version control and leveraging/validating outputs of AI-assisted coding tools.
  • Demonstrated ability to lead analytical efforts and deliver products with minimal oversight, including leading projects and studies.
  • Comfortable working on Linux-based systems and writing scalable scripts and software.
  • Exceptional written and verbal communication skills, including experience briefing flag/general officer or SES-level audiences.
  • Eligibility to obtain a Top Secret / Sensitive Compartmented Information (TS/SCI) clearance

Preferred Requirements:
  • Active TS/SCI clearance.
  • Recognized expertise analyzing the full kill chain (find, fix, track, target, engage, assess) across multiple domains, including air-to-air, air-to-surface, surface-to-air, space, and electronic warfare engagements.
  • Deep expertise in sensor performance analysis (especially radar) and in developing and validating models of sensors, communications, weapons, aircraft, spacecraft, or ground/maritime systems in mission-level simulation environments such as AFSIM or Ansys STK.
  • Experience leading study teams or technical working groups across organizations, including model accreditation, V&V efforts, or threat-informed scenario development.
  • Experience designing and analyzing large-scale Monte Carlo and DOE-driven simulation campaigns supporting system effectiveness or kill chain assessment.
  • Exposure to Distributed Interactive Simulation (DIS) networking and visualization tools such as MAK VR-Forces, SIMDIS, or similar.
  • Experience supporting rapid development programs across DoD services, DARPA, ONR, AFRL, COCOMs, the acquisition community, or commercial advanced technology programs.
  • Experience supporting capture and positioning activities (RFI/RFP responses, white papers, technical exchanges) and shaping new business pursuits.

Why CHAOS?
  • Health Benefits: Medical, dental, and vision benefits 100% paid for by the company
  • Additional benefits: 401k (+ 50% company match up to 6% of pay), FSA, HSA, life insurance, and more
  • Our Perks: Free daily lunch, 'No meeting Fridays', unlimited PTO, casual dress code
  • Compensation Components: Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses
  • Team Growth: 250 employees and counting across 5 global offices

Salary Range: $175,000 - 225,000
The stated compensation range reflects only the targeted base compensation range and excludes additional earnings such as bonus, equity, and benefits. If your compensation requirements fall outside of the range, we still encourage you to apply. The salary range for this role is an estimate based on a range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations.
Recruiting Agencies: CHAOS Industries does not accept unsolicited resumes or outreach. Unsolicited submissions will not be reviewed or compensated.
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