JobsUSAAIOps Platform Engineer
Company : Solomon Page
Location : Naperville, IL, 60540
Posted Date : 15 September 2025
Job Details
We are seeking an AIOps Platform Engineer to design, implement, and scale intelligent observability solutions for our AIOps platform. This role blends deep expertise in machine learning, especially time series forecasting, anomaly detection, and event classification-with advanced cloud engineering skills to ensure robust, scalable, and secure deployments. The ideal candidate will integrate ML algorithms, GenAI components, and monitoring tools into a seamless operational ecosystem, enabling data-driven automation and actionable insights. You will work across the full stack of observability, from data ingestion and modeling to deployment and continuous optimization, ensuring the health, performance, and resilience of our platform.
- Compensation: $180k base and above, with a 20% bonus and full benefits
- 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.
- 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.
- Knowledge of testing frameworks and agile development methodologies.
Our teams, comprised of subject matter experts, develop an interest in your preferences and goals and we act as an advisor for your career advancement. Solomon Page has an extensive network of established clients which allows us to present opportunities that are well-suited to your respective goals and needs - this specialized approach sets us apart in the industries we serve.
About Solomon Page
Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook , and LinkedIn .
Opportunity Awaits.
#LI-JB5 #dice
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