SRE AWS Lead (FULLTIME)
Description
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.
Skills
- Agile
- AI
- Ansible
- Automation
- AWS
- Bash
- CI/CD
- Cloud
- CloudFormation
- CloudWatch
- Containerization
- Data Quality
- Datadog
- DevOps
- DevSecOps
- Docker
- EC2
- ECS
- EKS
- ELK
- Generative AI
- GitHub
- GitHub Actions
- GitLab
- Grafana
- Helm
- IAM
- Infrastructure as Code
- Jenkins
- Jira
- Kubernetes
- Lambda
- LLM
- Machine Learning
- MLOps
- Observability
- OpenTelemetry
- PowerShell
- Prometheus
- Python
- RDS
- Redshift
- Root Cause Analysis
- S3
- Scrum
- SQL
- SRE
- Stakeholder Management
- Terraform
- VPC
- Vulnerability Scanning
