Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Able to Provide Sponsorship
Skills
Java
Kafka
Job Details
About the Role:
We are building Polaris, a next-generation front-to-back platform for post-trade processing, real-time risk monitoring, and cloud-native orchestration. We are seeking a hands-on, high-impact Java developer with a proven track record in designing and operating large-scale distributed systems. You will contribute to the architecture, implementation, and operations of a low-latency, high-throughput trading data path, ensuring scalability, resiliency, recoverability, observability, and developer productivity.
Key Responsibilities:
- Design, implement, and maintain high-performance, low-latency messaging and processing components (Java-based) for real-time trading data.
- Develop and operate resilient microservices and streaming pipelines using Kafka and related technologies.
- Build and optimize storage and access patterns with modern databases (e.g., RocksDB, MongoDB, MemSQL/SingleStore) for real-time analytics.
- Lead efforts to improve SDLC, testing (shift-left), configuration, and developer experience (CI/CD, automation, tooling).
- Architect and implement observability frameworks: metrics, tracing (Tempo/Jaeger), logging, and alerting for highly available systems.
- Collaborate with Platform/Cloud-native teams to design Kubernetes-based deployments, scalability, and disaster recovery strategies.
- Implement backpressure, idempotency, retries with exponential backoff and jitter, circuit breakers, and fault-tolerant patterns.
- Provide technical leadership, mentorship, and code reviews; communicate effectively with stakeholders across teams.
- Participate in on-call rotations and incident response, driving root-cause analysis and post-mortems.
Required Qualifications:
- 7+ years of professional software development, with a strong emphasis on Java and distributed systems.
- Deep hands-on experience building large-scale, low-latency, high-throughput systems.
- Expertise with messaging and streaming technologies, especially Kafka (producers/consumers, transactions, exactly-once processing).
- Proficiency with data stores used in real-time contexts (RocksDB, MongoDB, MemSQL/SingleStore) and time-series considerations.
- Solid understanding of concurrency, memory models, locking vs. lock-free approaches, and performance tuning in Java.
- Experience designing and operating in Kubernetes-based environments; familiarity with cloud-native patterns, DevOps, and observability tooling.
- Strong problem-solving, debugging, and performance profiling skills.
- Excellent communication, collaboration, and leadership capabilities.
- Bonus: Python scripting experience; knowledge of PrometheGrafana, Tempo/Jaeger, and cloud platforms (AWS/Google Cloud Platform/Azure).
Nice-to-Have:
- Experience with front-to-back architectural patterns in trading or financial services.
- Knowledge of, or experience with, RocksDB, distributed caches, and columnar stores.
- Familiarity with time-series data modeling and windowed computations.
- Exposure to risk monitoring, market data feeds, and post-trade workflows.
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