
Specializing in digital transformation and artificial intelligence.
Cyber Automation Engineer
Cyber Automation Engineer:
The Opportunity:
Maintain responsibility for the successful installation, configuration, and integration of the Cyber Asset Attack Surface Management (CAASM) platform within complex client environments. Leverage an understanding of IT infrastructure, networking, and security tools to ensure seamless data onboarding and high customer satisfaction. Collaborate closely with clients, project managers, and internal engineering teams to deliver a comprehensive and accurate asset inventory solution. Configure and manage CAASM solution deployment in accordance with the systems engineering lifecycle (SELC). Monitor, design, and onboard new data connections by integrating CAASM with a wide range of third-party security and management tools. Create and maintain deployment scripts and automation processes to streamline installations and enhance data management efficiency. Analyze and interpret complex cyber datasets to uncover insights, performing exploratory analysis and ensuring data quality, accuracy, and reliability. Document the installation and configuration of production deployments. Perform system monitoring and ongoing daily maintenance for deployed CAASM instances, ensuring system health, data integrity, and adherence to security best practices. Participate in on-call rotation for production support.
Join us. The world can't wait.
You Have:
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4+ years of experience architecting, implementing, integrating, and managing COTS solutions for hybrid cloud environments
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3+ years of experience performing systems administration in Windows, Linux, or VMware environments, including performing basic troubleshooting, installation, configuration, monitoring system performance or availability, and performing security upgrades
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3+ years of experience programming and debugging, shell scripting, application containerization, data storage, and retrieval from a variety of sources
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2+ years of experience deploying, hosting, monitoring, and securing solutions for government customers
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Experience with APIs and data pipelines to ingest, normalize, and correlate asset data with vulnerability feeds, threat intelligence, and security findings from multiple sources
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Knowledge of scripting languages for automation and troubleshooting, and APIs with their usage for data integration
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Active TS/SCI clearance; willingness to take a polygraph exam
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Associate’s degree and 5+ years of experience supporting IT projects and activities, Bachelor’s degree and 3+ years of experience supporting IT projects and activities, or Master’s degree and 1+ years of experience supporting IT projects and activities
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DoD 8570.01-M Information Assurance Technician (IAT) Level II Certification, such as Security+ CE, CCNA-Security, GSEC, SSCP, CySA+, GICSP, or CND Certification
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Ability to obtain a DoD 8570.01-M Cybersecurity Service Provider
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Infrastructure Support Certification, such as CEH, CHFI, CFR, Cloud+, or CND Certification, within 30 days of start date
Nice If You Have:
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2+ years of experience automating workflows securely with COTS products via RESTful APIs
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2+ years of experience integrating Axonius or Armis
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2+ years of experience securing solutions in accordance with federal regulatory compliance frameworks
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Experience supporting federal DoD and intelligence agencies, including supporting large federal programs
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Experience with SAFe Agile methodologies in a scaled enterprise setting
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Experience with cloud platforms, including AWS and Azure
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Knowledge of networking fundamentals
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Ability to provide support in an IT operations and maintenance role, including ticket work information updates, issue response, and remediation
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Possession of excellent communication and relationship skills to articulate technical topics and build consensus among stakeholders
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Possession of excellent problem-solving and analytical skills
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
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Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
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Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
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Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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关于Booz Allen Hamilton

Booz Allen Hamilton
PublicBooz Allen Hamilton Holding Corporation is the parent of Booz Allen Hamilton Inc., an American company specializing in digital transformation and artificial intelligence.
10,001+
员工数
McLean
总部位置
$4.2B
企业估值
评价
10条评价
3.8
10条评价
工作生活平衡
4.0
薪酬
2.5
企业文化
4.2
职业发展
2.8
管理层
3.5
68%
推荐率
优点
Supportive management
Good work-life balance
Flexible work arrangements
缺点
Low compensation
Limited growth opportunities
Long hours during peak periods
薪资范围
37个数据点
Junior/L3
L2
L6
Mid/L4
Senior/L5
L3
L4
L5
Junior/L3 · Data Engineer
1份报告
$149,500
年薪总额
基本工资
$115,000
股票
-
奖金
-
$149,500
$149,500
面试评价
3条评价
难度
3.0
/ 5
时长
21-35周
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Hiring Manager Interview
5
Team Interview
6
Offer
常见问题
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
Problem Solving
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