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Strong Tier-1 brand, mid-level generalist Java platform role in Mumbai with broad skillset attracts high applicant density.
Distributed systems, Kubernetes and scheduler experience transfers to platform teams but is somewhat domain-specific to infra roles.
Mandatory Java 17+, Kubernetes, distributed-systems and messaging experience create strict technical shortlisting filters.
Design, build, and operate the Java backend of a distributed job scheduling platform including job controller, state machine, scheduling integrations, resource and cost tracking, and failure-recovery mechanisms.
Develop and maintain gRPC/protobuf APIs used across multiple client languages (Python, Java, C++).
Manage event-driven services on Kafka and work hands-on with Kubernetes at scale for pod scheduling and workload orchestration.
3+ years of professional Java development experience (Java 17+, Maven/Gradle, concurrency, JVM performance).
2+ years hands-on experience with Kubernetes and Docker (Kubernetes API experience is a plus).
Experience with distributed systems, workload scheduling/batch orchestration systems, Kafka, and Linux fundamentals including scripting.
Work Experience Required: Minimum 3 years; Notice Period: Not explicitly mentioned in the JD.
Experienced in operating and troubleshooting distributed, production-scale systems involving Kubernetes, messaging, and storage layers.
Strong backend engineering focus with deep knowledge of Java concurrency, JVM, distributed state machines, and failure recovery.
Comfortable collaborating with global teams and supporting technical users directly, especially in a quantitative research or trading technology environment.