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Tier-1 brand and broad title increase competition, while seniority and niche infra skills moderate applicant density.
Core devops and cloud skills transfer across industries, but enterprise banking security and Databricks needs add moderate specificity.
Explicit 12+ years plus mandatory AWS, Databricks, CI/CD, scripting, and secure AI-adoption requirements enforce high strictness.
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Lead design reviews and break down complex software problems for engineering teams.
Develop, review, and debug secure, high-quality production code with focus on operational stability and automation.
Drive adoption of AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes while ensuring security and validation standards.
12+ years overall experience with 5+ years formal software engineering training or certification.
Extensive Python development experience with practical AWS and Databricks skills.
Proficiency in Perl/Shell scripting and CI/CD tools such as Jenkins, GitLab, Terraform.
Experience leading effective use of AI-assisted software development tools and understanding responsible AI use including secure data handling.
Experienced technical leader capable of mentoring teams and acting as a point of contact during major incidents.
Strong expertise in automation, platform resilience, troubleshooting networking technologies, and improving operational stability.
Strategic adopter of AI-assisted engineering workflows who can set team validation standards and promote secure, compliant AI use.