Cloud Engineer

Job Title:

AWS Site Reliability Engineer (Data Platform) Role Summary

We are looking for an AWS Site Reliability Engineer (SRE) to support and scale a cloud-native data platform built on AWS, Snowflake, and Databricks
. The role focuses on driving reliability through automation, disaster recovery (DR) testing, resiliency engineering, observability, and proactive SLO/SLI/SLA management
.

• Design, build, and maintain automation for infrastructure provisioning, platform operations, and incident response using IaC and CI/CD.
• Lead resiliency and disaster recovery planning
  , including regular DR drills, failure testing, and recovery validation across AWS and data platform components.
• Define, implement, and manage SLIs, SLOs, and SLAs for critical data pipelines and platform services; use error budgets to guide reliability improvements.
• Build and operate robust observability solutions (metrics, logs, traces, alerts) for AWS services, Snowflake, and Databricks workloads.
• Partner with data engineering and platform teams to embed reliability-by-design into architecture and delivery practices.
• Perform root cause analysis (RCA) and drive continuous improvement to reduce toil and improve platform availability and performance
• Own and drive resolution of incidents and service requests raised by consumer teams
  , providing operational support for platform usage while identifying recurring issues and automating fixes to improve reliability and user experience.

• Practical knowledge of SRE principles
  , including SLO/SLI/SLA design and error budgets.
• Strong experience with AWS (e.g., EC2, S3, IAM, VPC, Cloud Watch) in production environments
• Experience with observability tools and monitoring/alerting best practices.
• Hands-on experience with automation and IaC (Terraform, Cloud Formation, CDK) and scripting (Python, Bash).
• Exposure to data platforms such as Snowflake and/or Databricks
  .

• Experience running DR tests, chaos engineering, or resiliency testing in cloud environments.
• Familiarity with CI/CD pipelines and Git Ops practices.
• Background supporting large-scale data or analytics platforms.