Site Reliability Engineer

5 days ago


hyderabad district, India Sonata Software Full time

Role: Site Reliability Engineer Location: Hyderabad Notice Period: Immediate to 20 Days Employment Type: Full Time Experience 7–12 years in site reliability, cloud-based data infrastructure, data pipeline observability, automation, and high-availability engineering within EdTech platforms (2U) Primary Skills (Must-Have) AWS, CI/CD, Jenkins, IAAC, Terraform, Kubernetes Secondary Skills (Good-to-Have) AWS systems; Dataiku data, Platform updates and patching Tools & Platforms Data Warehousing & Processing: Snowflake, Redshift, Apache Airflow, dbt CI/CD & Deployment: Jenkins, GitHub Actions, AWS CodePipeline, Terraform Cloud & Event Processing: AWS Lambda, API Gateway, SNS/SQS, Kafka, Step Functions Monitoring & Logging: DataDog, AWS CloudWatch, Prometheus, Splunk Incident Management: PagerDuty, Opsgenie, AWS Health Dashboard Collaboration & Code Review: GitHub, Jira, Confluence Key Responsibilities Data Pipeline Reliability & Observability: - Maintain and optimize highly available, fault-tolerant infrastructure for data pipelines, ETL jobs, and real-time data processing - Implement end-to-end monitoring of Airflow DAGs, Snowflake queries, and AWS-based data workflows - Automate data pipeline health checks, error handling, and auto-remediation strategies Infrastructure & Cloud Automation: - Deploy and manage AWS-based data infrastructure using Terraform and CloudFormation - Optimize Kubernetes (EKS) clusters for processing large-scale datasets and real-time analytics - Ensure high availability and cost-efficient scaling for Redshift, Snowflake, and data storage solutions Performance, Monitoring & Incident Response: - Implement real-time monitoring, logging, and alerting using DataDog, AWS CloudWatch, and Prometheus - Define and track SLOs, SLIs, and error budgets to improve data reliability and uptime - Conduct Root Cause Analysis (RCA), security audits, and post-mortems for incidents Security & Compliance: - Ensure GDPR, CCPA, and SOC 2 compliance for data storage, access controls, and retention policies - Implement AWS security best practices (IAM, KMS, Shield, WAF) to secure data access and encryption - Secure API gateways, authentication mechanisms, and data lake permissions to prevent unauthorized access Collaboration & Leadership: - Work closely with data engineers, analytics teams, and DevOps engineers to enhance data platform reliability - Participate in incident response drills, disaster recovery planning, and security compliance reviews - Advocate for best practices in automation, cost optimization, and cloud-native data solutions



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