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Strong employer brand plus a generalist senior engineer title, mid-level requirement, and metro location increases competition.
Core distributed-systems and API skills are transferable, but financial-data and entitlement specifics create moderate domain bias.
Explicit 5+ years requirement plus mandatory Python and C++ and specialized low-latency/backend experience raises strictness.
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Design, develop, and maintain the Data Access interface used by AI agents, analytics, and client APIs, ensuring performance, security, and reliability at scale.
Optimize query execution and implement caching strategies to meet client SLAs and support large volumes of low-latency requests.
Own product feature improvements, bug fixes, and collaborate on architecture decisions, including mentoring junior engineers and contributing to on-call production support.
Bachelor's Degree or equivalent in Computer Science or related field.
5+ years of software engineering experience focused on API development, query systems, or data infrastructure.
Strong proficiency in Python and C++ with production system experience.
Work Experience Required: 5+ years in relevant software engineering roles.
Experienced in designing high-performance, scalable, and secure client-facing APIs and data orchestration layers.
Strong background in distributed systems, multithreaded programming, and low-latency, high-availability environments.
Proven ability to lead technical initiatives, optimize query execution, and build maintainable software within complex data ecosystems.