VectraAI Cloud-Native Engineer

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

• 5+ years of experience in engineering with cloud architectures, such as AWS, Azure, or GCP.
• Experience with Kubernetes or cloud container platforms
• Experience with building distributed systems, microservices, and API-driven pipelines
• Experience with VectraAI Detect and Recall, or NDR platforms
• Experience with IaC such as Terraform, CloudFormation, or ARM
• 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 with 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, CASP+, CCNP Security, CISA, CISSP or Associate, GCED, GCIH, or CCSP Certification, within 30 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 such as AAD or IAM, and Zero Trust security patterns
• Experience with packet analytics tools such as Zeek, Suricata, or Arkime in cloud traffic pipelines
• Experience supporting secure cloud adoption within federal or regulated environments
• Experience in DevSecOps with CI/CD pipelines
• Knowledge of streaming platforms such as Kafka, Kinesis, or Pub/Sub

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.

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.