Site Reliability Engineer

Category

Details

Role

Site Reliability Engineer (SRE) III – Data Engineering

Location

Hyderabad-

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

end-to-end monitoring of Airflow DAGs, Snowflake queries, and AWS-based data workflows

data pipeline health checks, error handling, and auto-remediation strategies

Infrastructure & Cloud Automation :

AWS-based data infrastructure using Terraform and CloudFormation

Kubernetes (EKS) clusters

for processing large-scale datasets and real-time analytics

high availability and cost-efficient scaling

for

Redshift, Snowflake, and data storage solutions

Performance, Monitoring & Incident Response :

real-time monitoring, logging, and alerting

using

DataDog, AWS CloudWatch, and Prometheus

SLOs, SLIs, and error budgets

to improve data reliability and uptime

Root Cause Analysis (RCA), security audits, and post-mortems for incidents

Security & Compliance :

GDPR, CCPA, and SOC 2 compliance

for

data storage, access controls, and retention policies

AWS security best practices (IAM, KMS, Shield, WAF) to secure data access and encryption

API gateways, authentication mechanisms, and data lake permissions

to prevent unauthorized access

Collaboration & Leadership :

data engineers, analytics teams, and DevOps engineers

to enhance data platform reliability

incident response drills, disaster recovery planning, and security compliance reviews

best practices in automation, cost optimization, and cloud-native data solutions