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Network Security Automation Engineer

Booz Allen Hamilton
Posted 2 days ago, valid for 19 days
Location

McLean, VA, US

Salary

$99,000 - $225,000 per year

Contract type

Full Time

Tuition Reimbursement

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Network Security Automation Engineer

The Opportunity: 

Secure cyber training environments require more than well-designed networks. They must also be repeatable, testable, isolated, and capable of being deployed and removed through automation. We need a Network Security Automation Engineer who can combine network security expertise with cloud engineering and infrastructure-as-code practices to support critical Department of Defense missions. 

On our team, you’ll design and automate secure, cloud-based cyber range networks. You’ll translate operational and security requirements into reusable infrastructure components that deploy virtual networks, routing, firewalls, VPN services, traffic inspection, logging, and monitoring capabilities. You’ll work with technologies such as AWS Transit Gateway, Gateway Load Balancer, Palo Alto VM-Series firewalls, AWS Network Firewall, VPC endpoints, and centralized logging. Using infrastructure as code, scripting, APIs, and CI/CD pipelines, you’ll automate network deployment, firewall integration, configuration validation, and environment teardown. 

You’ll collaborate with cybersecurity SMEs, platform engineers, vendors, and range operators to develop secure and reliable network architectures. You’ll troubleshoot routing, traffic inspection, firewall, and interoperability issues while ensuring each environment remains isolated from corporate networks, other ranges, and unauthorized external systems.

This is an opportunity to apply your network security experience while advancing your skills in cloud automation, software-defined networking, and secure infrastructure engineering. 

Work with us to build automated, repeatable, and defensible cyber environments for the DoD. 

Join us. The world can’t wait.

You Have:    

  • 5+ years of experience with network security or designing IT systems and networks for large commercial enterprises or government agencies

  • 3+ years of experience with firewalls, intrusion detection and prevention systems, network segmentation, boundary protection, or vulnerability assessment 

  • Experience designing and securing cloud or enterprise network architectures 

  • Experience with Palo Alto, Cisco, or Juniper firewalls

  • Experience automating infrastructure using an infrastructure-as-code framework such as AWS CDK, CloudFormation, or Terraform

  • Experience developing automation with TypeScript, Python, PowerShell, Bash, APIs, or orchestration tools 

  • Experience with routing, switching, VPNs, security groups, network access controls, and traffic inspection

  • Experience using network monitoring, flow logs, and centralized logging to analyze traffic and troubleshoot connectivity and using Git, CI/CD workflows, and packet analysis tools such as Wireshark

  • HS diploma or GED

  • Ability to obtain a DoD 8570 IAT Level II Certification within 3 months of start date 

Nice If You Have:    

  • Experience with AWS networking services, including VPC, Transit Gateway, Gateway Load Balancer, Network Firewall, Client VPN, NAT Gateway, or VPC endpoints, and developing AWS Lambda functions or custom infrastructure integrations

  • Experience deploying or automating Palo Alto VM-Series firewalls in AWS 

  • Experience with AWS CDK and TypeScript 

  • Experience creating automated infrastructure tests, configuration validation, or policy-as-code controls

  • Experience with multi-VPC inspection architectures and centralized firewall services

  • Experience with Ansible or Python-based network automation 

  • Experience integrating network telemetry with Elastic, Splunk, or another SIEM platform

  • Experience building cyber ranges, test environments, or other disposable cloud infrastructure 

  • Knowledge of DoD cybersecurity requirements, including STIGs and the DoD Cloud Computing Security Requirements Guide 

  • Ability to communicate technical architecture and automation concepts to engineers, operators, and mission stakeholders

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 $99,000.00 to $225,000.00 (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.

  • 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.

  • 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.

  • 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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