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Tier-1 employer, metro location, popular software role title, and mid-level experience raise competition.
Requires in-depth financial services knowledge plus cloud/platform skills, making industry background sensitivity high.
Explicit 5+ years plus mandatory cloud/Kubernetes/Go/Java and finance domain knowledge increases strictness.
Lead design, development, and troubleshooting of scalable, secure cloud-native solutions primarily using Golang and/or Java.
Drive adoption of AI-assisted engineering tools to improve code quality, delivery speed, and operational stability across the team.
Evaluate and integrate new technologies by collaborating with vendors and internal teams to fit architectural and security standards.
5+ years of applied software engineering experience with formal training or certification.
Hands-on experience in system design, application development, testing, and operational stability.
Proficiency in Golang and/or Java and strong understanding of cloud-native platforms including Kubernetes on AWS, GCP, or Azure.
Experience with AI-assisted software development tools and knowledge of secure coding and software development life cycle practices.
Experienced in leading engineering teams to adopt AI-assisted development and enforce secure, high-quality coding standards.
Strong background in cloud-native architectures with practical Kubernetes expertise on major cloud providers.
Familiar with financial services industry IT systems and agile methodologies focusing on CI/CD, application resiliency, and security.