MABASA / LINKEDIN
SRE AWS DevOps with Arize
Tata Consultancy Services
- Location
- Malvern, PA, USA
- Work type
- fulltime
- Source publication date
- Original publication date not confirmed
- Source closing date
- Not supplied — check original advert
- Advertised salary
- USD 155,000-170,000
Job description from the source
**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
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