Site Reliability Engineer III

6 days ago

Hyderabad, Telangana, India Sonata Software Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Role & responsibilities

Category

Details

Role

Site Reliability Engineer (SRE) III Data Engineering

Location

Hyderabad- Hybrid

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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