Vectra AI Cloud-Native Engineer

The Opportunity:

We are seeking a Vectra AI Cloud-Native Engineer to design, integrate, and optimize Vectra AI Detect and Recall and support telemetry pipelines across cloud platforms such as AWS, Azure, and GCP. This role focuses on cloud-native microservices, distributed systems, event streaming, infrastructure-as-code, and high-availability security analytics integrations.

What You’ll Work On:

• Architect and deploy Vectra AI Detect and Recall integrations within cloud environments using managed services, container orchestration platforms, and serverless compute.
• Build and maintain scalable cloud-native data ingestion pipelines leveraging services
• Develop microservices for metadata ingestion, enrichment, and alert processing.
• Integrate Vectra AI with cloud SIEM and SOAR systems, identity platforms, Zero Trust controls, and cloud logging pipelines.
• Implement IaC, including Terraform or CloudFormation, for repeatable deployment of cloud Vectra AI components.
• Optimize cloud workloads for performance, security, and resiliency.
• Build dashboards, runbooks, automation scripts, and monitoring strategies for cloud environments.

Join us. The world can’t wait.

You Have:

• 3+ years of experience engineering cloud architecture, including AWS, Azure, or GCP
• Experience building distributed systems, microservices, and API-driven pipelines
• Experience with Network Detection and Response (NDR) platforms such as Corelight, Stellar, Cortex, Falcon, or RevealX
• Experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, CloudFormation, or Puppet
• Knowledge of cloud networking, traffic mirroring, logging, and telemetry flows
• Active TS/SCI clearance; willingness to take a polygraph exam
• HS diploma or GED and 7+ years of experience supporting IT projects and activities, 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
• Ability to obtain a DoD 8570 IAT Level III Certification such as SecurityX, CCNP Security, CISA, CISSP or CISSP Associate, GCED, GCIH, or CCSP Certification within 60 days of start date
• Ability to obtain a DoD 8570 Cybersecurity Service Provider - Infrastructure Support Certification (CSSP-IS), including CEH, CySA+, GICSP, SSCP, CHFI, CFR, Cloud+, or CND Certification, within 30 days of start date

Nice If You Have:

• Experience with cloud identity, including AAD or IAM, and Zero Trust security patterns
• Experience with the Vectra AI platform
• Experience with Kubernetes or cloud container platforms
• Experience with packet analytics tools, including Zeek, Suricata, or Arkime, in cloud traffic pipelines
• Experience supporting secure cloud adoption within federal or regulated environments
• Experience with DevSecOps and CI/CD pipelines
• Knowledge of streaming platforms such as Kafka, Kinesis, or Pub/Sub

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.

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. 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 or customer facility, in alignment with your leadership's expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a 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.