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Tier-1 employer plus metro location increases applicant competition despite seniority and specialized requirements.
Senior cloud-platform specialist skills transfer across industries, though banking controls and governance increase domain sensitivity.
Explicit 15+ years plus mandatory AWS, Java/Go, platform and AI-enabled engineering requirements make filters highly strict.
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Owns the design, development, and delivery of complex, scalable, and secure cloud-native software platforms and infrastructure at enterprise scale.
Leads adoption and governance of agentic AI-enabled engineering workflows to improve code quality, delivery speed, and operational outcomes, setting standards for validation, security, and reuse.
Acts as a subject matter expert advising cross-functional teams and influencing senior leaders on technology strategy and responsible AI use in engineering.
15+ years of applied experience with a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Software Engineering, or related technical field.
Expert-level proficiency in Go Lang and/or Java with production-grade coding experience.
Extensive hands-on experience architecting, building, and deploying cloud platforms using AWS, including practical experience with microservices, containerization (Docker/Kubernetes), and CI/CD pipelines.
Experience designing and securing agentic AI-enabled development practices within enterprise environments, including governance of data sensitivity and risk controls.
Experienced technology leader with deep expertise in cloud infrastructure, distributed systems, and platform engineering at scale.
Proven capability in driving AI-enabled development workflows and integrating responsible AI practices in software engineering processes.
Demonstrated ability to lead product initiatives, communicate effectively with senior executives, and align technology solutions with business outcomes.