AIOps Engineer

Booz-Allen-Hamilton; Alexandria (VA); Presencial; USD 78.000 - 176.000; Jornada completa

Descripción de la vacante

Booz Allen is seeking an experienced DevOps engineer to advance AI-driven IT operations for national security. You will design, build, and deploy enterprise software and automation that enhances platform reliability and operational efficiency. The role focuses on AIOps, MLOps, and DataOps, with collaboration across cloud, platform, and cybersecurity teams.

A TS/SCI clearance with polygraph is required. You will contribute to building AI agents and automated workflows, integrating them with cloud

Formación

• 5+ years of experience designing, developing, deploying, and maintaining enterprise software, intelligent automation solutions, or operational platforms.
• 3+ years of experience implementing monitoring, observability, AIOps, site reliability engineering, or platform operations capabilities, including telemetry, alerting, incident triage, and operational reporting.
• Experience designing and deploying AI agents or automated workflows for platform administration, system monitoring, governance, resource optimization, or operational support.
• Experience developing applications, services, and automation workflows using Python and integrating them with platform APIs, operational data, audit logs, or cloud services.
• Experience deploying and operating containerized applications using orchestration technologies such as Docker, Kubernetes, Helm, or AWS EKS.
• Experience integrating cloud-based logging, monitoring, and telemetry solutions to improve platform reliability, performance, scalability, and operational efficiency.
• Experience collaborating with cloud, platform, data, and cybersecurity engineers to drive technical designs from concept through implementation, and communicate technical progress, demonstrations, risks, and outcomes to stakeholders.
• TS/SCI clearance with a polygraph

Conocimientos

Enterprise software

AIOps

MLOps

ModelOps

DataOps

Python

Docker

Kubernetes

Helm

AWS EKS

Observability

Telemetry

TS/SCI clearance

Educación

Bachelor's degree

Herramientas

Docker

Kubernetes

Helm

AWS EKS

Descripción del empleo

Join a culture of empowerment and connectivity.

Develop your craft

Learn the skills you need to accelerate your career.

Discover benefits that support your life and work.

Innovate with intention

Build mission-ready tech that protects the nation.

The Opportunity:
Imagine using artifi cia l intelligence ( AI ) to improve critical IT operations for national security requirements. As a DevOps engineer, you know how to create efficient and effective solutions, so you can quickly deliver the best operational data. Booz Allen is the leading provider of AI services to the nation, and we’re looking for a DevOps engineer with knowledge of AIOps, MLOps, ModelOps, and DataOps to develop tools and get them into the hands of those who need them most.

On our team, you’ll streamline IT operations to enhance platform productivity to improve national security. You’ll automate operational workflows and build AI agents. This is your opportunity to deepen your experience in AIOps and help solve the client's toughest problems.

Ready to transform the national security sector with AIOps?

Join us. The world can’t wait.

You Have:

• 5+ years of experience designing, developing, deploying, and maintaining enterprise sof tware, intelligent automation solutions, or operational platforms
• 3+ years of experience implementing monitoring, observability, AIOps, site reliability engineering, or platform operations capabilities, including tele met ry, alerting, incident triage, and operational reporting
• Experience designing and deploying AI agents or automated workflows for platform administration, system monitoring, governance, resource optimization, or operational support
• Experience developing applications, services, and automation workflows using Python and integrating them with platform APIs, operational data, audit logs, or cloud services
• Experience deploying and operating containerized applications using orchestration technologies such as Docker, Kubernetes, Helm, or AWS EKS
• Experience integrating cloud-based logging, monitoring, and tele met ry solutions to improve platform reliability, performance, scalability, and operational efficiency
• Experience collaborating with cloud, platform, data, and cybersecurity engineers to drive technical designs from concept through implementation, and communicate technical progress, demonstrations, risks, and outcomes to stakeholders
• TS/SCI clearance with a polygraph

Nice If You Have:

• Experience developing AI agents, copilots, or agentic workflows with human oversight for incident triage, compliance monitoring, platform administration, or user support
• Experience with Databricks, MLflow, model monitoring, Unity Catalog, system tables, or AI / ML platform operations
• Experience implementing cost and resource optimization capabilities using FinOps practices, usage tele met ry, automated recommendations, or resource allocation workflows
• Experience implementing event-driven automation using AWS services such as Lambda, S3 Events, SQS, EventBridge, Step Functions, or Amazon Bedrock
• Experience creating continuous automation across infrastructure, platform, application, security, and operational technology stacks using Git-based CI / CD practices
• Bachelor’s degree in CS, Engineering, Data Science, Information Systems, or a related field

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 with polygraph 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 $77,600.00 to $176,000.00 (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.

AIOps Engineer

The Opportunity:
Imagine using artifi cia l intelligence ( AI ) to improve critical IT operations for national security requirements. As a DevOps engineer, you know how to create efficient and effective solutions, so you can quickly deliver the best operational data. Booz Allen is the leading provider of AI services to the nation, and we’re looking for a DevOps engineer with knowledge of AIOps, MLOps, ModelOps, and DataOps to develop tools and get them into the hands of those who need them most.

On our team, you’ll streamline IT operations to enhance platform productivity to improve national security. You’ll automate operational workflows and build AI agents. This is your opportunity to deepen your experience in AIOps and help solve the client's toughest problems.

Ready to transform the national security sector with AIOps?

Join us. The world can’t wait.

You Have:

• 5+ years of experience designing, developing, deploying, and maintaining enterprise sof tware, intelligent automation solutions, or operational platforms
• 3+ years of experience implementing monitoring, observability, AIOps, site reliability engineering, or platform operations capabilities, including tele met ry, alerting, incident triage, and operational reporting
• Experience designing and deploying AI agents or automated workflows for platform administration, system monitoring, governance, resource optimization, or operational support
• Experience developing applications, services, and automation workflows using Python and integrating them with platform APIs, operational data, audit logs, or cloud services
• Experience deploying and operating containerized applications using orchestration technologies such as Docker, Kubernetes, Helm, or AWS EKS
• Experience integrating cloud-based logging, monitoring, and tele met ry solutions to improve platform reliability, performance, scalability, and operational efficiency
• Experience collaborating with cloud, platform, data, and cybersecurity engineers to drive technical designs from concept through implementation, and communicate technical progress, demonstrations, risks, and outcomes to stakeholders
• TS/SCI clearance with a polygraph
• Bachelor's degree

Nice If You Have:

• Experience developing AI agents, copilots, or agentic workflows with human oversight for incident triage, compliance monitoring, platform administration, or user support
• Experience with Databricks, MLflow, model monitoring, Unity Catalog, system tables, or AI / ML platform operations
• Experience implementing cost and resource optimization capabilities using FinOps practices, usage tele met ry, automated recommendations, or resource allocation workflows
• Experience implementing event-driven automation using AWS services such as Lambda, S3 Events, SQS, EventBridge, Step Functions, or Amazon Bedrock
• Experience creating continuous automation across infrastructure, platform, application, security, and operational technology stacks using Git-based CI / CD practices
• Bachelor’s degree in CS, Engineering, Data Science, Information Systems, or a related field
• AWS, Kubernetes, Databricks, or similar Industry Certification

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 with polygraph 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 $77,600.00 to $176,000.00 (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. 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.