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Tier-1 brand, metro locations, mid-level generalist cloud/Java role attracts many qualified applicants.
Core cloud and Java skills transfer across industries, but financial services and secure AI practices increase specificity.
Mandatory 5+ years, required AWS/Java and architecture experience increases filtering rigor.
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Design, deliver, and govern secure, efficient cloud-native applications across private and public cloud environments, primarily AWS.
Provide technical oversight and guidance to technology teams deploying workloads in public cloud environments, ensuring alignment with organizational standards and architecture governance.
Drive adoption of AI-assisted engineering practices within the SDLC to improve code quality, delivery speed, and operational outcomes, while establishing measurable validation standards.
5+ years of applied experience in software engineering with formal training or certification.
Hands-on experience with public cloud solution design, primarily AWS.
Proficiency in at least one mainstream programming language such as Java or Python.
Demonstrated experience leading use of enterprise-authorized AI-assisted software development tools and strong understanding of responsible AI use in engineering workflows.
Experienced in microservice application development or N-tier architecture with familiarity in multiple data storage technologies (RDBMS and NoSQL).
Proven ability to lead architecture evaluation and improvements by identifying technology gaps and recommending future state solutions.
Capable of coaching senior engineers and leads on compliant and secure AI-assisted development practices, with advanced knowledge in software architecture and cloud technologies.