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Tier-1 brand, metro location and mid-level generalist backend role drive high applicant competition.
Java, microservices and AWS skills are broadly transferable across industries, so medium sensitivity.
Mandatory 3+ years plus Java/Spring/AWS and DevOps requirements create high shortlisting strictness.
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Design, develop, and deliver enterprise-grade backend systems using Java, Spring Boot, Microservices, and AWS with focus on secure, stable, and scalable solutions.
Own software solutions by producing architecture and design artifacts, ensuring code meets design constraints and operational stability requirements.
Leverage enterprise-authorized AI-assisted development tools to improve code quality, delivery speed, and automation, while ensuring secure coding standards and validating AI outputs.
3+ years of applied software engineering experience with formal training or certification.
Strong hands-on experience in Java, Spring Boot, Microservices, and AWS system design, development, testing, and operational stability.
Experience using enterprise-authorized AI-assisted software development tools with ability to critically evaluate AI-generated outputs for correctness, performance, and security.
Familiarity with agile methodologies including CI/CD, application resiliency, security, and DevOps practices.
Experienced in building and operating complex backend systems in large corporate environments with a focus on secure and resilient architectures.
Comfortable integrating AI-assisted tools into development workflows responsibly, including guiding peers on safe and effective AI usage.
Familiarity with cloud platform management (AWS), containerized microservices deployment, and system monitoring using tools like Prometheus, Grafana, or Datadog.