Senior Lead Site Reliability Engineer - Cloud Data & Databricks

Role Overview

Job Responsibilities

• Lead SREs supporting a managed AWS Databricks platform and application engineering teams.
• Design resilient multi-AZ, multi-region, and multi-cloud strategies for business-critical services.
• Perform platform setup, configuration, workspace administration, resource monitoring, observability, alerting, and capacity planning.
• Evaluate architectural designs and technical credentials with vendors, startups, and internal teams.
• Optimize infrastructure and deployment processes through automation and collaboration with engineering and data teams.
• Develop secure production code, review code, troubleshoot systems, and apply SRE practices to improve reliability, scalability, and performance.
• Use authorized AI capabilities for incident analysis, reliability design, testing, production readiness, and requirements traceability.
• Maintain incident response procedures, root cause analyses, postmortems, auditability, and security controls.

Required Qualifications

• Formal training or certification in software engineering concepts and 10+ years of applied experience are required.
• Strong knowledge of SRE principles, SLIs, SLOs, error budgets, and incident management is required.
• Experience with monitoring tools, automation frameworks, and CI/CD pipelines is required.
• Proficiency in Python application development with automated unit testing is required.
• Experience with authorized AI capabilities and safe AI usage practices is required.
• Experience with Terraform development and Terraform Enterprise is required.
• Experience in system design, application development, testing, and operational stability is required.
• Knowledge of distributed compute frameworks such as Spark, Glue, or MapReduce is required.
• Excellent troubleshooting, analytical, and communication skills are required.

Preferred Qualifications

• Experience building data pipelines with Spark is preferred.
• Exposure to AWS and Databricks platform administration is preferred.
• Knowledge of Docker, Kubernetes, distributed systems, and large-scale data processing is preferred.

Work Environment

• The description states that the role works with cross-functional teams in an agile environment.
• No explicit remote, hybrid, onsite, or field workplace policy is provided.