Position: SRE Engineer with ML Ops and Arize product
Location: Malvern, PA (Onsite) – Locals ONLY
Duration: 6+ Months Contract
Â
Job Description:Â Â Â Â Â
Role Name – SRE Engineer with ML Ops and Arize product
Â
Role Description:
- AWS Cloud Platform Expertise – EC2, EKS, ECS, Lambda, CloudWatch, SNS, SQS, Event Bridge for highly available and scalable services.
- Arize AI Observability & Monitoring – Model performance monitoring, drift detection, evaluation analytics, and AI/LLM observability.
- Site Reliability Engineering (SRE) – SLI/SLO definition, Error Budgets, reliability improvement, service resilience, and uptime management.
- Incident Management & RCA – Major Incident Management (MIM), outage tracking, root cause analysis, problem management, and MTTR reduction.
- Failure Analysis & Risk Assessment – FMEA, risk quantification, reliability assessments, and proactive mitigation of platform failures.
- Testing & Validation Engineering – Scenario testing, regression testing, impact analysis, release validation, and upstream change testing.
- Monitoring, Alerting & Automation – CloudWatch, Grafana, Prometheus, PagerDuty, automated notifications, dashboards, and operational metrics.
- DevOps & MLOps Practices – Kubernetes, Terraform, CI/CD pipelines, Python scripting, AI/ML platform operations, and LLM reliability optimization.
- Preferred Technologies: AWS, Arize AI, Kubernetes (EKS), CloudFormation, Python, CloudWatch, Grafana, Prometheus, PagerDuty, GitHub Actions/Jenkins.
Â
Skills: Digital : Amazon Web Service(AWS) Cloud Computing~Digital : Machine Learning Experience Required: 6-8
Â
Â
Education: At least a bachelor’s degree (or equivalent experience) in Computer Science, Software/Electronics Engineering, Information Systems, or closely related field is required.
Â
Â
Â
Â
Jyothi S
ITech US, Inc,