AIOps Engineer
Booz Allen Hamilton14 hours ago
Base Salary
$78k - $176k/yr
Responsibilities
- Design, develop, deploy, and maintain enterprise software, intelligent automation solutions, and operational platforms.
- Build AI agents and automated workflows for platform administration, system monitoring, governance, resource optimization, incident triage, compliance monitoring, and operational support.
- Implement monitoring, observability, AIOps, site reliability engineering, and platform operations capabilities, including telemetry, alerting, incident triage, and operational reporting.
- Develop Python applications and automation workflows integrated with platform APIs, operational data, audit logs, and cloud services.
- Deploy and operate containerized applications using Docker, Kubernetes, Helm, or AWS EKS.
- Integrate cloud-based logging, monitoring, and telemetry solutions to improve platform reliability, performance, scalability, and operational efficiency.
- Collaborate with cloud, platform, data, and cybersecurity engineers to take technical designs from concept through implementation and communicate progress, demonstrations, risks, and outcomes.
Requirements
- At least 5 years of experience designing, developing, deploying, and maintaining enterprise software, intelligent automation solutions, or operational platforms.
- At least 3 years of experience implementing monitoring, observability, AIOps, site reliability engineering, or platform operations capabilities.
- 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 Docker, Kubernetes, Helm, or AWS EKS.
- Experience integrating cloud-based logging, monitoring, and telemetry solutions.
- Experience collaborating with cloud, platform, data, and cybersecurity engineers through technical design and implementation.
- TS/SCI clearance with a polygraph is required.
- Bachelor’s degree is required; preferred fields include computer science, engineering, data science, information systems, or a related field.
- Preferred qualifications include experience with Databricks, MLflow, model monitoring, Unity Catalog, system tables, AI/ML platform operations, FinOps, AWS event-driven automation, Git-based CI/CD practices, and AWS, Kubernetes, Databricks, or similar industry certification.
Benefits
- Health, life, disability, financial, and retirement benefits.
- Paid leave, professional development, tuition assistance, work-life programs, and dependent care.
- Recognition awards for exceptional performance and demonstration of company values.
- Full-time and part-time employees working at least 20 hours per week on a regular basis are eligible for Booz Allen benefit programs.
- The position is not remote and is located in Alexandria, Virginia or St. Louis, Missouri.
About Booz Allen Hamilton
Booz Allen Hamilton builds and integrates software, analytics, AI, cloud, and cybersecurity solutions while providing engineering and consulting services, primarily for U.S. defense, intelligence, and civil government clients, with select commercial partnerships. Its business is largely government contracting and professional services delivering mission systems and cyber defense. Founded in 1914 and headquartered in McLean, Virginia, Booz Allen is a public company traded on the NYSE (ticker: BAH).