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Senior Software Engineer – Client retention POD

Posted June 18, 2026
Permanent - Full Time

Job Overview

As a member of the Client retention Pod, you will design, develop, and maintain high-performance software that handles client-side order entry, state management, and execution reporting. This role requires a sophisticated blend of low-latency C++ engineering , Scala  and an obsession with transactional integrity.

Key Responsibilities

  • Order Lifecycle Management: Maintain and evolve the core ASE/ALGO codebase, ensuring deterministic and reliable handling of orders, cancellations, executions and Market Data .
  • Performance Engineering: Identify and resolve memory bottlenecks and CPU spikes within the orderrouting/Market data path to ensure consistent "p99" latency.
  • Collaborative Development: Partner closely with other developers, and product managers to design and deliver robust, scalable software solutions.
  • Code Maintenance and Fixing: The responsibility to "maintain and evolve the core ASE/ALGO codebase" aligns with the L3 pod's need to perform small, impactful improvements and fixes to client retention and stability issues.

Skills, Knowledge and Expertise

Essential Experience
  • Professional Experience: Substantial experience developing in C++ (standard 17 or higher) and Scala ideally within a trading firm.
  • Expert Debugging: The requirement for "High proficiency with GDB (including advanced coredump analysis) and memory profiling tools" is essential for a team that acts as the first line of escalation for all PRBs, including crashes and alerts
  • Concurrent Programming: Strong proficiency in writing, optimizing, and debugging complex multi-threaded applications.
  • Expert Debugging: High proficiency with GDB (including advanced coredump analysis) and memory profiling tools.
  • Modern Tooling: Experience utilizing AI-assisted coding tools (e.g., Claude Code, Copilot) to accelerate development, refactoring, and code quality.
  • Strong Computer Science Foundations: A deep passion for algorithms, data structures, and the principles of clean, maintainable code.
Desirable Experience
  • Domain Expertise: Prior hands-on experience with the Algo and Google ProtoBuf . .
  • Scripting: Proficiency in Python for developing automated test suites.
  • Performance Analysis: Experience with valgrind, perf and gprof for identifying and mitigating micro-architectural bottlenecks.

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