Auf einen Blick
- Aufgaben: Entwickle und implementiere Automatisierungs-Workflows und Skripte für effiziente Betriebsabläufe.
- Unternehmen: Innovatives Unternehmen in Washington, DC mit Fokus auf Automatisierung und AIOps.
- Vorteile: Wettbewerbsfähiges Gehalt, Gesundheitsleistungen, 401K-Matching und drei Wochen Urlaub.
- Weitere Informationen: Dynamisches Team mit großartigen Entwicklungsmöglichkeiten und Schulungen.
- Warum dieser Job: Nutze KI und Automatisierung, um echte Probleme zu lösen und Prozesse zu optimieren.
- Qualifikationen: Erfahrung in Automatisierungstechnologien und starke Problemlösungsfähigkeiten.
Das prognostizierte Gehalt liegt zwischen 60000 - 80000 € pro Jahr.
- Automation / AIOps Engineer
- Preferred: US Citizen
Job Description
The Automation / AIOps Engineer will be responsible for developing, implementing, and maintaining automation workflows, scripts, orchestration routines, and reusable templates to support provisioning, configuration, maintenance, monitoring response, patching, backup validation, reporting, and other operational activities within FA1.
This individual will leverage Infrastructure as Code (Ia C), Robotic Process Automation (RPA), and AIOps capabilities to transform repetitive, manual tasks into automated, repeatable, and measurable outcomes.
The role includes applying advanced analytics and machine learning-driven insights to proactively identify, correlate, and resolve infrastructure and platform issues, optimize capacity and performance, and reduce mean time to detect (MTTD) and mean time to restore (MTTR).
- Required Skills
- Strong expertise in automation technologies, including Infrastructure as Code (Ia C), Robotic Process Automation (RPA), and orchestration tools.
- Proficiency in AIOps practices, including the use of artificial intelligence and machine learning for operational decision support.
- Experience in developing and maintaining automation workflows, scripts, and templates.
- Ability to apply advanced analytics and machine learning models to improve operational outcomes.
- Technical knowledge of cloud-native environments, virtualization platforms, and enterprise storage systems.
- Strong problem-solving skills to detect operational drift and emerging failure conditions.
- Excellent communication and collaboration abilities to work with cross‑functional teams and stakeholders.
- Nice To Have
- Familiarity with natural language processing (NLP), computer vision, and Tensor Flow-based ML models.
- Experience with scikit-learn and pandas for processing operational data at scale.
- Knowledge of AI/ML pipelines and foundation model prompts.
- Understanding of Fin Ops practices and cost management tools.
- Experience with Service Now, monitoring tools, and configuration repositories.
- Ability to collaborate with infrastructure automation teams and other contractor teams.
Certifications
- Relevant certifications in automation technologies, such as Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), or similar.
- Certifications in AIOps and machine learning, such as AWS Certified Machine Learning – Specialty or Google Cloud Professional Machine Learning Engineer.
- We are proud to offer competitive compensation and benefits packages to include
- Medical
- Dental
- Vision
- Basic Life
- Health Saving Account
- 401K matching
- Three weeks of PTO/Sick
- 11 Paid Holidays
- Pre-Approved Online Training
- #J-18808-Ljbffr
Automation / AIOps Engineer Arbeitgeber: Node Energy
node.energy ist ein hervorragender Arbeitgeber, der seinen Mitarbeitern nicht nur ein sinnstiftendes Arbeitsumfeld bietet, sondern auch flexible Arbeitsbedingungen und eine Remote-First-Kultur. Mit einer strukturierten Einarbeitung, individuellen Weiterbildungsmöglichkeiten und der Chance, aktiv an der Entwicklung des Unternehmens mitzuwirken, fördert node.energy das persönliche Wachstum seiner Mitarbeiter. Zudem sorgt die offene und kollegiale Arbeitsatmosphäre dafür, dass jeder Mitarbeiter in einem innovativen Team von Experten arbeiten kann, um gemeinsam die grüne Energiewende voranzutreiben.
