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Part Time Aiops Engineer Jobs (NOW HIRING)

Observability Engineer

Mclean, VA · On-site

$53.25 - $73/hr

This role combines hands-on engineering with AIOps implementation to deliver full-stack visibility ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Observability Engineer

Mclean, VA · On-site

$53.25 - $73/hr

This role combines hands-on engineering with AIOps implementation to deliver full-stack visibility ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

DevOps Engineer

Arlington, VA · On-site

$77K - $176K/yr

... AIOps, ML Ops, model ops, and data ops to develop tools and get them into the hands of those who ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

$176K/yr

Experience with MLOps or AIOps practices, including model versioning, drift detection, and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

... engineer with knowledge of AIOps, ML Ops, model ops, and data ops to develop tools and get them ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Part Time Aiops Engineer information

What is a Part Time Aiops Engineer?

A Part Time Aiops Engineer is a professional who works reduced hours, typically less than full-time, focusing on implementing and managing AIOps (Artificial Intelligence for IT Operations) solutions. Their role involves using machine learning and data analytics to automate and improve IT operations, such as monitoring, incident detection, and root cause analysis. Working part time, they contribute to building, maintaining, and optimizing AIOps platforms, often collaborating closely with IT and DevOps teams to ensure efficient and proactive system management. This flexible position is ideal for individuals seeking work-life balance while leveraging their technical expertise in AI and IT operations.

What is the difference between Part Time Aiops Engineer vs Part Time Data Engineer?

AspectPart Time Aiops EngineerPart Time Data Engineer
Required CredentialsCertifications in AI, cloud platforms, and scriptingCertifications in data warehousing, SQL, and ETL tools
Work EnvironmentCloud-based, AI-focused teams, monitoring AI systemsData pipelines, database management, data processing teams
Employer & Industry UsageTech companies, AI service providers, cloud providersFinance, healthcare, tech firms managing large datasets
Search & Comparison IntentUnderstanding AI operations in part-time rolesData infrastructure and pipeline management in part-time roles

The Part Time Aiops Engineer focuses on managing and optimizing AI systems, requiring knowledge of AI tools and cloud platforms. In contrast, the Part Time Data Engineer concentrates on building and maintaining data pipelines and databases. Both roles often share similar credentials but differ in their core focus areas and work environments.

What are some common challenges faced by part-time AIOps Engineers, and how can they effectively manage their workload?

Part-time AIOps Engineers often face the challenge of balancing rapid incident response with limited working hours. To manage this, clear communication with full-time team members and leveraging automation tools for monitoring and alerting are essential. Prioritizing tasks, documenting work thoroughly, and maintaining up-to-date knowledge of the system can help ensure smooth handoffs and effective collaboration. Regular check-ins with the team also foster alignment and allow part-time engineers to stay informed about ongoing projects and changes in infrastructure.

What are the key skills and qualifications needed to thrive as a Part Time AIOps Engineer, and why are they important?

To thrive as a Part Time AIOps Engineer, you need a solid background in IT operations, automation, data analysis, and a degree in computer science or a related field. Familiarity with machine learning frameworks, cloud platforms, monitoring tools like Splunk or Prometheus, and relevant certifications such as AWS Certified DevOps Engineer are highly valued. Strong problem-solving abilities, adaptability, and effective communication are essential soft skills for collaborating across teams and responding to incidents. These skills and qualifications are crucial for efficiently managing complex IT environments, ensuring uptime, and driving continuous improvement through AI-driven automation.

What is the salary of AIOps engineer?

The salary of an AIOps engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and company size. Entry-level positions may start lower, while experienced professionals with skills in machine learning and cloud platforms can earn higher salaries.

Is AIOps a good career?

AIOps engineering is a growing field that involves using artificial intelligence and machine learning to automate IT operations and improve system reliability. It requires skills in data analysis, scripting, and familiarity with tools like ML frameworks and monitoring platforms. The role offers opportunities for advancement and high demand in organizations seeking to optimize their IT infrastructure.

Which 3 jobs will survive AI?

Part Time Aiops Engineers will continue to be in demand as AI operations require human oversight, troubleshooting, and system management skills. Roles involving complex problem-solving, strategic planning, and domain-specific expertise are less likely to be fully automated. Skills in cloud platforms, scripting, and monitoring tools will enhance job security in AI-related fields.

What engineers make $500,000?

Senior AIops engineers with extensive experience, specialized skills in cloud platforms, automation, and monitoring tools can reach or exceed a $500,000 annual salary, especially in high-cost-of-living areas or with senior-level responsibilities. Achieving this level often requires advanced certifications, leadership roles, and a strong track record in deploying and managing large-scale AI and automation systems.
More about Part Time Aiops Engineer jobs
What cities are hiring for Part Time Aiops Engineer jobs? Cities with the most Part Time Aiops Engineer job openings:
What are the most commonly searched types of Aiops Engineer jobs? The most popular types of Aiops Engineer jobs are:
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What job categories do people searching Part Time Aiops Engineer jobs look for? The top searched job categories for Part Time Aiops Engineer jobs are:
Infographic showing various Part Time Aiops Engineer job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 95% Full Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
Observability Engineer

$53.25 - $73/hr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 6 hours ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 57 rated business consultants


Job description

Job Description
Remote Work:
Hybrid
Job Number:
R0237472
Location:
McLean,VA,US
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Observability Engineer
The Opportunity:
Something breaks at 2 AM. Today, a human gets paged. Tomorrow, an AI agent detects the anomaly, correlates the root cause, triggers the remediation, and closes the ticket, all before the first cup of coffee. You are the engineer who builds that tomorrow.
We are seeking a senior Observability Engineer with expertise in both AI technologies and enterprise performance monitoring. This role combines hands-on engineering with AIOps implementation to deliver full-stack visibility across 250+ services. You will lead efforts to implement predictive monitoring and self-healing capabilities that drive down operational costs while increasing system availability by leveraging AI to triage and resolve incidents. You will mentor and supervise engineers, own technical quality, and push the program toward AI-driven observability with opportunities to build new observability platforms from the ground up as we expand into new environments. Due to the nature of work performed within this facility, U.S. citizenship is required.
Join us. The world can't wait.
You Have:
  • 5+ years of experience in enterprise observability, monitoring, and site reliability engineering
  • Experience architecting and operating Dynatrace for full-stack observability, including agent deployment, distributed tracing, log management, synthetic monitoring, and digital experience monitoring
  • Experience implementing AIOps workflows, including predictive alerting, anomaly detection, automated remediation, and incident automation
  • Experience building observability integrations, custom extensions, and infrastructure-as-code using Python, JavaScript, Node.js, and Terraform
  • Experience building operational and executive dashboards and implementing SLOs and SLAs
  • Experience working in Agile environments with sprint-based delivery
  • Knowledge of network monitoring protocols, including SNMP, SNMP traps, NetFlow, and Syslog
  • Ability to mentor engineers, conduct code reviews, and take accountability for technical delivery and quality
  • Bachelor's degree in a Computer Science or Information Technology field

Nice If You Have:
  • Experience with ServiceNow Event Management, including event rules, alert management rules, alert correlation, threshold tuning, noise reduction, CMDB integration with CI relationships and dependencies, ITOM alignment, automated incident creation, Flow Designer, IntegrationHub, JavaScript, Glide API, HTML or CSS, ServiceNow platform architecture, and developing standardized onboarding processes for integrating new monitoring tools into Event Management with governance, segregation of duties, and compliance documentation
  • Experience with advanced Dynatrace platform capabilities, including Grail, Smartscape, Davis AI, OpenPipeline, DQL, Workflow Automation, Platform API, AppSec, Session Replay, Grail-powered RUM, AI Observability, and Grail log management
  • Experience with Dynatrace Intelligence, including Dynatrace Assist, Intelligence Agents, MCP Server integration, and Dynatrace Apps development using the App Toolkit
  • Experience deploying and building observability platforms from scratch in government cloud environments such as AWS GovCloud, Azure Government, or IL4/IL5, including air-gapped, restricted network, and STIG-hardened deployments
  • Experience building self-service onboarding portals for application team observability adoption
  • Experience with open-source observability tooling, including OpenTelemetry, Prometheus, Grafana, and ELK/EFK
  • Experience with FinOps practices, containerization, and cloud platforms such as AWS, Azure, or GCP
  • Experience operating Splunk and Splunk Enterprise Security (SIEM), Cribl, and SolarWinds at enterprise scale
  • Dynatrace Professional or Master Certification or ServiceNow Certified Implementation Specialist - Event Management (CIS-EM) Certification

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 $86,800.00 to $198,000.00 (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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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914