обновлено 9 дней назад
AI Ops Engineer
220 000 - 240 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Ops Engineer (AIOps/Python): Implementing AI-driven monitoring, automation, and operational analytics for government IT systems with an accent on incident response, observability, cloud operations, and system reliability. Focus on integrating AIOps capabilities with ServiceNow ITOM, detecting anomalies and failures, reducing alert fatigue, and improving system availability.
Location: Arlington, Virginia, United States; hybrid/remote position
Salary: $220,000–$240,000 annually
Company
delivers innovative IT services and solutions that help government agencies improve their operations and public services.
What you will do
- Deploy AI-driven monitoring and operational intelligence solutions.
- Develop automation for incident detection, response, and remediation.
- Analyze operational data to identify patterns and predict system failures.
- Implement event correlation, anomaly detection, and alert-fatigue reduction.
- Integrate AI tools with ITSM platforms, including ServiceNow ITOM.
- Build dashboards and analytics to improve system availability and performance.
Requirements
- Active Secret clearance required; ability to attain DEA suitability required.
- Bachelor’s degree with 12+ years of infrastructure or cloud engineering experience, or equivalent experience.
- 5–10 years of hands-on experience in IT operations and cloud environments.
- Experience with AIOps platforms, machine learning applications in IT, and cloud automation frameworks.
- Experience with observability tools such as Splunk, Datadog, Dynatrace, and New Relic.
- Advanced Python scripting and data analytics skills.
Nice to have
- AI/ML or cloud certifications.
- ITIL Foundation certification.
- Splunk or Dynatrace certification.
Culture & Benefits
- Flexible work environment.
- Employee Assistance Program and corporate discounts.
- Learning and development platform with certification preparation content.
- Training, education, and certification assistance for full-time employees.
- Referral bonus and internal mobility programs.
- Pet insurance.
Hiring process
- Virtual video interview with the hiring manager and/or team; camera must be on and a valid photo ID must be presented.
- Enhanced biometric identity verification screening.
- Background check covering criminal history, education, and employment history.
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