Software Engineer - Java

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Skills you'll use

What you'll do

• 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
• 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)
• 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)

Who can apply

• 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)

About IMC

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