Padmi

Sr Java Developer

United StatesPosted 1 month ago
Software engineeringUnspecified
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Position Summary:

We are seeking a seasoned Senior Java Developer with a deep specialization in high-throughput trading platforms. You will be responsible for designing and scaling microservices that power our real-time execution algorithms, ensuring ultra-low latency, high availability, and strict adherence to risk and regulatory controls.

Core Responsibilities:

• Architecture & Development: Lead the design and implementation of distributed microservices using Java/Spring Boot tailored for high-frequency trading environments.

• Algorithm Engineering: Collaborate with Quants and Product Managers to translate complex execution strategies into performant, production-ready code.

• Performance Optimization: Conduct deep-dive performance tuning, GC optimization, and memory management to maintain sub-millisecond execution speeds.

• Platform Governance: Design and enforce "Safe Trading" protocols, including pre-trade risk checks and automated circuit breakers within the microservices mesh.

Domain Requirements:

• Trading Lifecycle: Deep understanding of the full trade lifecycle (Order Management, Execution, Clearing, and Settlement).

• Execution Algorithms: Proven track record of building or maintaining algorithmic engines and SOR (Smart Order Routing) systems.

• Market Dynamics: Understanding of market data structures (L1/L2/L3 books) and regulatory requirements (MiFID II, SEC Rule 606).

Technical Qualifications:

• Java Expertise: Expert-level proficiency in Core Java (v17+ preferred), including advanced multi-threading, concurrency patterns, and the Java Memory Model.

• Microservices Architecture: Extensive experience with Spring Boot, Spring Cloud, and containerization (Docker/Kubernetes). Familiarity with Service Mesh (Istio/Linkerd) is a plus.

• Messaging & Integration: Hands-on experience with high-performance messaging middleware like Apache Kafka, Solace, or Aeron.

• Data Systems: Proficiency in low-latency data stores (Redis, Hazelcast) and SQL/NoSQL databases for trade persistence and auditing.

Testing & CI/CD: Commitment to TDD/BDD practices and automated pipeline integration (Jenkins, GitLab CI).

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