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Tier-1 brand, common backend title, metro hiring, and broad skillset increase applicant competition.
Deep backend, cloud, big-data and low-latency API expertise required, reducing cross-industry transferability.
Explicit 8+ years and mandatory Java, Spring, Kubernetes, Kafka, NoSQL, observability requirements.
Lead agile software development focused on Java, Springboot, Microservices, and Kubernetes for reliable, scalable technology products.
Provide technical guidance, review code, influence product design, and serve as subject matter expert across technologies including API development, cloud, and big data.
Utilize enterprise-authorized AI tools for monitoring, capacity analysis, and operational data validation supporting infrastructure engineering workflows with security and resiliency focus.
8+ years of applied software engineering experience with formal training or certification.
Strong hands-on experience with Java, Springboot, Microservices, RESTful APIs, Kubernetes, and API Gateways.
Experience with Apache Kafka, Cassandra or other NoSQL databases; cloud infrastructure exposure; and observability tools like Splunk, Kibana, AppDynamics, or Dynatrace.
Proven use of enterprise-authorized AI in engineering workflows with ability to validate AI outputs aligned to security, resiliency, and audit standards.
Senior engineer comfortable independently tackling design and functionality problems in complex systems involving cloud native, big data, and AI/ML disciplines.
Deep technical expertise in real-time APIs, distributed data processing (Big Data ecosystems like Databricks, EMR) and cloud platforms, preferably AWS.
Experience influencing product and technical decisions with strong validation and security mindset, advocating reusable and AI-assisted engineering approaches.