SRE AWS DevOps with Arize

About this role

Job Description

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.

TCS Employee Benefits Summary

Discretionary Annual Incentive.

Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

Family Support: Maternal & Parental Leaves.

Insurance Options: Auto & Home Insurance, Identity Theft Protection.

Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.

Time Off: Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Salary Range: $155,000 - $170,000 a year

Qualifications: BACHELOR OF COMPUTER SCIENCE

Required skills

• Python
• SQL
• AWS
• Docker
• Kubernetes
• Terraform
• Ansible
• CI/CD
• Jenkins
• GitHub Actions
• GitLab CI
• Machine Learning