HirePlace
This range is provided by HirePlace. Your actual pay will be based on your skills and experience talk with your recruiter to learn more.
Base pay range
$150,000.00/yr - $185,000.00/yr Direct message the job poster from HirePlace We are working with a Retail Partner bringing on a
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 classificationwith 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. Hybrid, but mostly onsite. Can sit in Phoenix, Plano or Pleasanton, CA. 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.
Basic Qualifications
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.
Important:
All roles are subject to standard hiring verification practices, which may include background checks, employment verification, and other relevant checks. No Third Party Please Seniority level Mid-Senior level
Employment type
Full-time
Job function
Industries: Retail
Referrals increase your chances of interviewing at HirePlace by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified about new Platform Engineer jobs in
Greater Phoenix Area . Phoenix, AZ $85,000.00-$140,000.00 10 hours ago Phoenix, AZ $120,000.00-$210,000.00 1 day ago Application Developer - Cloud Integration Scottsdale, AZ $134,000.00-$196,000.00 2 weeks ago Software Engineer - Data Platform & GenAI Scottsdale, AZ $83,430.00-$222,480.00 1 week ago Scottsdale, AZ $87,100.00-$168,100.00 1 week ago Phoenix, AZ $80,000.00-$140,000.00 19 hours ago Phoenix, AZ $180,000.00-$200,000.00 2 weeks ago Scottsdale, AZ $96,900.00-$262,350.00 5 months ago Phoenix, AZ $135,000.00-$150,000.00 2 weeks ago Scottsdale, AZ $130,000.00-$150,000.00 1 day ago Scottsdale, AZ $138,600.00-$200,550.00 12 hours ago Phoenix, AZ $100,000.00-$120,000.00 3 weeks ago Scottsdale, AZ $123,500.00-$212,850.00 3 weeks ago Phoenix, AZ $90,000.00-$110,000.00 1 day ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
$150,000.00/yr - $185,000.00/yr Direct message the job poster from HirePlace We are working with a Retail Partner bringing on a
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 classificationwith 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. Hybrid, but mostly onsite. Can sit in Phoenix, Plano or Pleasanton, CA. 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.
Basic Qualifications
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.
Important:
All roles are subject to standard hiring verification practices, which may include background checks, employment verification, and other relevant checks. No Third Party Please Seniority level Mid-Senior level
Employment type
Full-time
Job function
Industries: Retail
Referrals increase your chances of interviewing at HirePlace by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified about new Platform Engineer jobs in
Greater Phoenix Area . Phoenix, AZ $85,000.00-$140,000.00 10 hours ago Phoenix, AZ $120,000.00-$210,000.00 1 day ago Application Developer - Cloud Integration Scottsdale, AZ $134,000.00-$196,000.00 2 weeks ago Software Engineer - Data Platform & GenAI Scottsdale, AZ $83,430.00-$222,480.00 1 week ago Scottsdale, AZ $87,100.00-$168,100.00 1 week ago Phoenix, AZ $80,000.00-$140,000.00 19 hours ago Phoenix, AZ $180,000.00-$200,000.00 2 weeks ago Scottsdale, AZ $96,900.00-$262,350.00 5 months ago Phoenix, AZ $135,000.00-$150,000.00 2 weeks ago Scottsdale, AZ $130,000.00-$150,000.00 1 day ago Scottsdale, AZ $138,600.00-$200,550.00 12 hours ago Phoenix, AZ $100,000.00-$120,000.00 3 weeks ago Scottsdale, AZ $123,500.00-$212,850.00 3 weeks ago Phoenix, AZ $90,000.00-$110,000.00 1 day ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr