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Tier-1 brand, generic backend title, mid-level (3+ years) role and metro location increases applicant competition.
Core Java, Spring, cloud, and Kafka skills are industry-transferable though financial domain familiarity preferred.
Explicit 3+ years plus many mandatory cloud, Java/Spring, streaming, and container skills raise filter strictness.
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Designs, develops, and troubleshoots secure, stable, scalable software solutions across multiple technical areas supporting firm objectives.
Produces architecture and design artifacts for complex applications ensuring code meets design constraints and quality standards.
Leverages AI-assisted development tools to enhance code quality, speed, and productivity, validates AI outputs, and contributes to team best practices.
Minimum 3+ years applied software engineering experience with formal training or certification.
Proficiency in system design, application development, testing, and operational stability.
Hands-on experience with distributed systems, cloud technologies (AWS, GCP, Azure, etc.), microservices/RESTful APIs, relational/NoSQL databases, and data streaming/messaging frameworks (Kafka, Spark, etc.).
Experience using enterprise-authorized AI-assisted software development tools, with ability to validate AI-generated outputs for correctness, security, and performance.
Experienced in applying AI-assisted development tools critically within secure, production environments to improve software delivery.
Strong background in cloud-native architecture, microservices, and container technologies (Docker, Kubernetes, Helm).
Familiarity with enterprise software development best practices in large, regulated environments as reflected by involvement with financial services IT systems (preferred but not mandatory).