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Tier-1 brand, popular DevOps mid-level role with broad skills required, increasing candidate competition.
Cloud, Kubernetes and Databricks skills are transferable, but banking security/compliance increases domain sensitivity.
Explicit 5+ years and mandatory AWS, Kubernetes, Databricks, and CI/CD tool requirements imply high shortlisting strictness.
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Lead design, development, and delivery of secure, scalable software solutions supporting Consumer and Community Banking business objectives.
Drive adoption and set standards for enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational stability.
Lead evaluation of external and internal technical designs and vendors; build scalable data pipelines on Databricks using data lake sources.
5+ years of applied software engineering experience with formal training or certification.
Hands-on experience with Python/Java, distributed data processing, and AWS services (Glue, ECS, EKS, API Gateway, S3, Lambda, EMR).
Proficiency in DevOps tools including Kubernetes, Docker, CI/CD pipelines, Spinnaker, and deployment automation.
Work Experience Required: 5+ years; Notice Period: Not explicitly mentioned in the JD.
Proven ability to lead AI-assisted software development adoption with strong focus on secure, compliant engineering workflows.
Experience working within agile teams delivering complex, distributed systems and scalable data pipelines especially on Databricks.
Capable of engaging senior leadership and driving technical evaluations of software architecture and vendor solutions.