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Tier-1 brand, metro location, mid-level generalist DevOps role with broad skills increases competition.
DevOps skills are broadly transferable but enterprise banking and specific AWS/Kubernetes expectations raise moderate specificity.
Explicit 5+ years requirement plus mandatory Kubernetes, AWS, CI/CD and automation skills makes filters stringent.
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Design, develop, and maintain secure, high-quality production code and algorithms aligned with complex application architectures.
Leverage enterprise-authorized AI-assisted software development tools to enhance code quality, delivery speed, and team effectiveness while ensuring validation through peer review and automated testing.
Analyze large datasets to identify problems, drive improvements in coding hygiene and system architecture, and contribute to continuous improvement and software engineering communities.
3+ years of applied software engineering experience with formal training or certification in software engineering concepts.
Hands-on experience in system design, application development, testing, operational stability, and building/operating cloud-native solutions.
Proficiency with DevOps practices, Kubernetes, CI/CD, AWS, SQL querying, Python programming, and automation techniques across the SDLC.
Experience using enterprise-authorized AI-assisted development tools with ability to validate and refine AI outputs securely and effectively.
Experienced in cloud-native environments with solid expertise in AWS and Kubernetes operations, including familiarity with Amazon EKS.
Skilled in applying AI-assisted development tools responsibly, with understanding of secure handling and resilient engineering workflows.
Capable of independently identifying and solving complex technical problems through data analysis and system improvements within agile teams.