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Popular backend role, metro location, broad tech stack, and lead-level seniority increase applicant competition.
Backend, cloud, and event-driven platform skills transfer across industries, though SaaS platform experience adds specificity.
Explicit 7–10 years plus mandatory Java, cloud, Kafka, and platform experience makes shortlisting stringent.
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Lead architecture, design, and development of a cloud-native Supply Chain Data Platform using scalable microservices and event-driven architecture.
Collaborate with global teams to translate business requirements into secure, high-quality software solutions.
Drive engineering excellence via code reviews, performance optimization, CI/CD improvements, mentoring, and operational best practices, including on-call support and incident resolution.
7 to 10 years of hands-on experience with Java, Spring Boot, Microservices, REST APIs, OAuth, Kafka, Snowflake, and cloud-native development on Microsoft Azure or similar platforms.
Proven experience designing scalable, resilient multi-tenant SaaS platforms using distributed microservices, Kubernetes, Docker, and DevOps.
Experience with Big Data technologies (Spark, Scala, Elasticsearch, NoSQL/RDBMS), performance tuning, and high-availability architectures.
Proficient with CI/CD (GitHub Actions), Agile development; experience implementing event-driven architecture using Kafka, Spark or similar.
Technically strong leader comfortable with software architecture, secure coding, and mentoring engineers at scale.
Experienced in cloud-native SaaS platform development with distributed microservices and event-driven designs.
Collaborative operator who effectively works with cross-functional teams and drives continuous process and platform improvements.