SRE AWS DevOps with Arize

SFE PARTNERS LLC
Malvern, PA, United States
24 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 JIRA Bash Shell Continuous Delivery DevOps Github Monitoring of Systems Identity and Access Management Python (Programming Language)
+29 more
Performance Tuning Windows PowerShell Scrum Methodology Reliability Engineering Ansible Prometheus SQL Databases Datadog Delivery Pipeline Large Language Models Grafana Model Validation Infrastructure as Code (IaC) Amazon Virtual Private Cloud (VPC) Cloudformation Gitlab-ci Kubernetes Infrastructure Automation Frameworks Performance Monitor Machine Learning Operations Drift Detection Cloudwatch Terraform Devsecops Docker Elk Stack Jenkins Amazon Redshift Vulnerability Analysis

Requirements

Must Have Technical/Functional Skills For an SRE / AWS DevOps Engineer with Arize Observability, the candidate should have knowledge on AWS Cloud, DevOps, Reliability Engineering, Monitoring, MLOps, and AI Observability. AWS Cloud Services EC2, EKS, ECS, Lambda, S3, RDS, Redshift, CloudWatch, IAM, VPC. Infrastructure as Code (IaC) Terraform, AWS CloudFormation, Ansible. CI/CD Automation Jenkins, GitHub Actions, GitLab CI/CD, AWS CodePipeline. Containerization & Orchestration Docker, Kubernetes (EKS), Helm. Site Reliability Engineering (SRE) SLI/SLO/SLA management, incident response, root cause analysis (RCA), reliability engineering. Monitoring & Observability Arize AI, Prometheus, Grafana, Datadog, ELK Stack, OpenTelemetry, CloudWatch. MLOps & AI Observability Arize platform, model monitoring, drift detection, model performance tracking, data quality monitoring, LLM observability. Programming & Scripting Python, Bash, PowerShell, SQL. Security & DevSecOps IAM, Secrets Manager, AWS Security Hub, vulnerability scanning, policy enforcement. Collaboration & Agile Delivery Scrum, Jira, stakeholder communication, cross-functional incident management, technical documentation. Roles & Responsibilities SRE Lead with 8+ years of experience in building and managing scalable, secure, and highly available AWS cloud platforms leveraging DevOps, Kubernetes, and Infrastructure-as-Code practices. Experienced in implementing CI/CD pipelines, driving SRE best practices, and ensuring platform reliability through proactive monitoring, incident management, and performance optimization using CloudWatch, Prometheus, Grafana, and Arize. Strong collaborator with engineering, data, and ML teams, enabling MLOps, AI model observability, drift detection, and reliable deployment of production-grade AI/GenAI solutions. Generic Managerial Skills, If any Strong leadership and stakeholder management skills, with experience leading cross-functional teams and driving delivery excellence. Effective communication with business and technical stakeholders.

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