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Metro location and known brand increase applicant density, but specialized Databricks+AI skillset limits competition.
Requires specific Databricks and cloud platform experience, reducing cross-industry transferability.
Explicit years plus mandatory Databricks, cloud, IaC, and AI automation skills create strict filtering.
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Deploy, configure, and operate Databricks environments on GCP, Azure, or both, ensuring secure and reliable cloud networking.
Design and implement AI-driven automation and tooling to improve developer productivity, streamline workflows, and automate routine engineering tasks.
Develop and maintain Infrastructure as Code (Terraform), CI/CD pipelines, and integrate Databricks with enterprise data platforms while enforcing security and cost controls.
Bachelor’s degree in Computer Science, Engineering, or related field.
7–10+ years total experience, including 5–7 years in cloud engineering.
Proven hands-on experience with Databricks deployment and operation on GCP and/or Azure.
Strong skills in cloud networking, Terraform (IaC), CI/CD pipelines, AI-based automation tools, and proficiency in Python, Bash, or PowerShell.
Experienced cloud engineer with a deep focus on Databricks platform operations and cloud networking technologies.
Demonstrated ability to leverage AI capabilities to enhance cloud engineering productivity and automate workflows at scale.
Comfortable working in Agile/Scrum environments and mentoring junior engineers while collaborating across platform, data, and security teams.