Software Engineer - Java
Mumbai, India · Full-time
- Posted 3w ago
- From IMC Trading’s careers page
- Location
- Mumbai, India
- Type
- Full-time
- Level
- Senior
- Experience
- 3+ years
- Department
- Software Development
Apply on IMC Trading’s site
Opens the listing on job-boards.eu.greenhouse.io
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About the role
Your Core Responsibilities:
- 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
Your Skills and Experience:
- 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)
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About IMC Trading
Research-driven quantitative tradingIMC is a global quantitative trading firm that develops data-driven trading strategies using research, engineering, and technology.
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