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Software Engineer - Java

IMC Trading
🇮🇳MumbaiMediorFull-timePosted September 16, 2026

About the Role

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, including the job controller and state machine, scheduling integrations, resource and cost tracking, and failure-recovery machinery.
  • 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.

Requirements

  • 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)
  • Experience with messaging/streaming systems such as Kafka
  • Working knowledge of NoSQL and time-series/SQL databases (e.g. MongoDB, PostgreSQL)
  • Experience with gRPC/protobuf or similar RPC frameworks is a plus
  • Strong Linux fundamentals and scripting (bash, Python)
  • Experience with monitoring stacks (Prometheus, Grafana, alerting) and comfort operating what you build
  • Demonstrated ability to troubleshoot across the stack from application code through Kubernetes to network and storage
  • Exposure to object storage (S3) or high-performance data formats (Parquet, Iceberg)