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Senior, specialized SRE in metro with broad tech requirements increases competitive density.
Technical SRE and cloud/Databricks skills transfer across industries but require specific platform experience.
Explicit 10+ years and many mandatory cloud, IaC, and SRE technologies impose stringent filters.
Lead design, implementation, and operation of complex cloud infrastructure projects focusing on both site reliability engineering and data analytics.
Transition legacy systems to a cloud-native modern data stack using tools like Snowflake, Databricks, Airflow, and others while ensuring service availability and performance 24/7.
Own cloud automation, monitoring, incident response, cost optimization, and serve as technical lead during critical escalations with global teams.
Bachelor's or Master's degree in Engineering with specialization in Computer Science or equivalent experience.
10+ years experience in deployment, monitoring, and operation of distributed systems and cloud services (GCP, Azure, or AWS).
Prior site reliability engineering experience and hands-on with Snowflake, Databricks, Informatica, dbt, BigQuery, Looker, or Power BI.
Expertise in scripting (Ansible, PowerShell, Bash, Python), Infrastructure as Code (Terraform), CI/CD (Git, Argo CD), containers (Docker, Kubernetes), and monitoring tools (Datadog, Prometheus).
Experienced in designing and managing scalable, secure cloud infrastructure with a focus on automation, monitoring, and operational excellence.
Comfortable working across both SRE practices and data analytics tooling within a global production environment supporting enterprise customers.
Demonstrates strong system design knowledge balancing operational and reliability trade-offs and effective communication for cross-team collaboration and escalation management.