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Tier-1 brand, generalist backend title, broad required skillset, and metro hiring drive high competition.
Core backend, cloud, and data skills are transferable, though banking and enterprise-AI expectations add moderate specialization.
Explicit 8+ years and many mandatory technologies (Java, Kafka, Kubernetes, Cassandra) produce strict screening filters.
Lead technical guidance and code development for secure, scalable production using Java, Springboot, Microservices, Kubernetes, and related technologies.
Drive product design, application functionality, and operational processes within an agile environment focused on low latency, high throughput APIs, cloud, and big data solutions.
Leverage enterprise-authorized AI tools to monitor capacity, identify risks, improve remediation workflows, and ensure compliance with resiliency and security standards.
8+ years of applied software engineering experience with formal training or certification.
Proficiency in Java, Springboot, Microservices, RESTful API, Kubernetes; experience with API Gateways, Apache Kafka, Cassandra or other NoSQL databases.
Experience with observability tools like Splunk, Kibana, AppDynamics, or Dynatrace.
Practical experience using enterprise-authorized AI capabilities in infrastructure engineering workflows with strong validation and data sensitivity awareness.
Experienced in cloud-native application design and deployment, ideally with AWS exposure and big data ecosystems like Databricks or EMR.
Skilled in applying advanced software engineering concepts independently with minimal oversight, including leveraging AI-assisted tools responsibly.
Familiar with large-scale data processing technologies such as Apache Spark and Python scripting for automation or data processing tasks.