Site Reliability Engineer

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, Git Hub Actions, AWS Code Pipeline, Terraform
Cloud & Event Processing: AWS Lambda, API Gateway, SNS/SQS, Kafka, Step Functions
Monitoring & Logging:
Data Dog, AWS Cloud Watch, Prometheus, Splunk
Incident Management:
Pager Duty, Opsgenie, AWS Health Dashboard
Collaboration & Code Review:
Git Hub, 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 Cloud Formation
- 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  Data Dog, AWS Cloud Watch, 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 Dev Ops 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