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Strong employer brand, mid-level generalist backend title, metro location, popular skillset increase candidate competition.
Core backend and cloud skills are transferable across industries despite some compliance-sensitive domain specifics.
Explicit 4+ years requirement plus mandatory backend, cloud, Kubernetes, Java skills increases screening strictness.
Design, build, and maintain scalable, distributed enterprise-grade software systems with end-to-end ownership including CI/CD, deployment, and operations.
Lead technical design and architecture decisions for microservices-based systems including API design, service decomposition, and data modeling.
Incorporate AI-assisted development tools to enhance engineering velocity and code quality while enforcing responsible AI principles and operational discipline.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field, or equivalent experience.
Minimum 4+ years professional experience in software engineering developing production-grade distributed applications.
Proficiency in Java or similar modern programming languages; experience with distributed systems, microservices architecture, RESTful APIs, relational databases, cloud platforms (Docker, Kubernetes).
Experience using AI-assisted engineering tools integrated into the software development workflow.
Experienced in designing and operating large-scale, high-availability distributed systems with emphasis on reliability and maintainability.
Skilled in applying AI tools responsibly within software engineering to improve development efficiency without compromising quality or compliance.
Capable of leading technical architecture and influencing cross-functional teams to deliver complex systems in compliance-sensitive, enterprise environments.