Egen is seeking an AIOps Platform Engineer to design, implement, and scale intelligent observability solutions for their AIOps platform, integrating ML algorithms and GenAI components to enable data-driven automation and actionable insights.
Requirements
- Hands-on experience with time series forecasting, anomaly detection, and event classification/correlation ML algorithms.
- Strong programming skills in Python (and optionally R) for modeling, automation, and cloud API interaction.
- Proficiency with ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
- Deep understanding of Google Cloud and Azure services for ML deployment, observability, and infrastructure scalability.
- Knowledge of observability platforms including Prometheus, Grafana, Elasticsearch, Datadog, along with database technologies (MySQL, MongoDB, PostgreSQL).
- Experience with Git and other version control systems.
- Familiarity with MLOps practices, GenAI tooling, and modern code-assist solutions.
Responsibilities
- Design, develop, and deploy ML algorithms and GenAI integrations for observability data in AIOps.
- Integrate LLM-based solutions, including prompt engineering, fine-tuning, and retrieval-augmented generation, for effective summarization.
- Integrate monitoring and observability tools within a cloud ecosystem.
- Deploy and scale ML solutions using Google Cloud and Azure services for observability and infrastructure scalability.
- Implement and maintain observability data storage solutions using Prometheus, Grafana, Elasticsearch, and relational/non-relational databases (e.g., MySQL, MongoDB, PostgreSQL).
- Apply testing frameworks and agile development methodologies to both ML and cloud-based components.
- Collaborate across engineering teams to ensure AI/ML outputs are effectively operationalized within the observability platform.
Other
- This is a hybrid role based in Phoenix, AZ, Plano, TX or Pleasanton, CA.
- All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws.
- Egen welcomes and encourages applications from individuals with disabilities.
- Reasonable accommodations are available for candidates during all aspects of the selection process.
- All roles are subject to standard hiring verification practices, which may include background checks, employment verification, and other relevant checks.