Software Engineer - Java

We are seeking a driven Java engineer to join our global research platform team in Mumbai.

The team builds and operates the compute and data platform that powers all of IMC's quantitative research: a large-scale Kubernetes-based research cluster, a distributed job scheduling platform used by every trading and research team, and the market-data and dataset services that feed research on it.

Mumbai runs one of the platform's regional production deployments, and you'll collaborate closely with platform colleagues in Amsterdam, Chicago and Sydney.

• Design, build and operate the Java backend of our distributed job scheduling platform: the job controller and state machine, scheduling integrations, resource and cost tracking, and the failure-recovery machinery that keeps research workloads running at scale
• Develop gRPC/protobuf APIs consumed by Python, Java and C++ clients across the firm
• Build event-driven services on Kafka for job lifecycle tracking, data lineage, and dataset orchestration
• Work hands-on with Kubernetes at scale: pod scheduling, fair-share queueing, preemption and multi-cluster placement
• Instrument, monitor and firefight production systems, and drive root-cause analysis of performance bottlenecks
• Support and consult research users in the India office

• 3+ years of professional Java development experience (Java 17+, Maven/Gradle, strong grasp of concurrency and JVM performance)
• 2+ year of hands-on experience with Kubernetes and Docker (building on the K8s API is a strong plus)
• Comfortable developing in Python; our client libraries and research users are Python-first, and you'll work on both sides of the API
• Solid understanding of distributed systems fundamentals: state machines, retries/idempotency, event-driven architectures, consistency trade-offs
• Experience with workload scheduling or batch/compute orchestration systems (e.g. Kubernetes schedulers, Slurm, YARN, Kueue, Ray, Airflow)