SRE AWS DevOps with Arize

Job Title: SRE AWS DevOps with Arize

Duration- Fulltime Permanent

Location: Malvern PA (Onsite From Day 1)

Job Description:

SRE AWS DevOps with Arize

SRE, AWS DevOps, EKS, ECS, EC2, Docker, CloudFormation, CI/CD, GitHub Actions, GitLab CI/CD, Infrastructure as Code, Arize AI, AI Observability, ML Observability, LLM Observability, MLOps, Model Monitoring, Model Drift Detection, Open Telemetry, Prometheus, Grafana, Kubernetes, CloudWatch, ELK Stack, Incident Management, RCA, SLI, SLO, SLA, Reliability Engineering, Performance Optimization, Platform Engineering, Python, Bash, DevSecOps, AWS Security, SageMaker, GenAI Operations

• What is your experience with AWS cloud services and the environments you have supported.
• What is your experience with Kubernetes (EKS) and containerized application deployments?
• Have you worked with Terraform or CloudFormation for infrastructure automation? Provide an example.
• What CI/CD tools have you used, and what deployment process did you implement?

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, Open Telemetry, 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.