Senior Site Reliability Engineer – AWS, Kubernetes, Databricks

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Compass

WebsiteLinkedInAll Job Openings

10,000+ employees

🏠 Real Estate

📱 Media

Real Estate • Media

Compass is a real-estate-focused content and services site that provides detailed market analysis, buying/selling/renting guides, mortgage and financing information, and home improvement and renovation advice. The site offers resources for homebuyers, sellers, renters, agents, and real estate investors — including articles on appraisals, affordable housing, investment strategies, staging and property maintenance. Compass aims to help users make informed decisions across the housing lifecycle through timely market updates and practical how-to content.

📋 Description

• Ensure the reliability, availability, and performance of systems and applications in production; • Design, implement, and evolve automations for deployment, monitoring, scalability, and platform operations; • Administer and evolve Kubernetes environments, ensuring stability and high availability; • Respond to critical incidents, conducting root cause analyses (RCA) and implementing preventive actions; • Define, track, and refine reliability indicators such as SLIs, SLOs, and SLAs; • Manage and optimize CI/CD pipelines to enable continuous and secure delivery; • Implement and maintain infrastructure as code (IaC), ensuring standardization and automation of environments; • Develop and strengthen observability, monitoring, metrics, and alerting practices; • Collaborate with development teams to build resilient, scalable, and high-performance applications; • Document operational procedures, contingency plans, and operational best practices; • Drive continuous improvement of the platform to reduce recurring failures and increase service reliability.

🎯 Requirements

• Strong experience as a Site Reliability Engineer (SRE), DevOps Engineer, or Platform Engineer; • Experience managing Kubernetes clusters in production environments; • Experience with cloud infrastructure, preferably AWS; • Experience with infrastructure automation using Terraform and Infrastructure as Code (IaC); • Experience with CI/CD pipelines and continuous integration/delivery processes; • Experience with observability, monitoring, and incident management tools; • Experience troubleshooting distributed applications and critical production environments; • Experience with Databricks and Apache Spark; • Experience with AWS CodePipeline; • Knowledge of SQL databases, data warehousing, and data modeling; • Experience with Amazon EC2, Amazon S3, and AWS Lambda; • Knowledge of cloud architecture and Microsoft Azure environments; • Knowledge of high availability, scalability, resilience, and incident recovery best practices; • Analytical ability to identify root causes and implement continuous improvements; • Advantage: Databricks certifications.