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Vice President, Software Engineering (Electronic Trading)

Fidelity Investments Jersey City, Stany Zjednoczone
Umowa o pracę Pełny etat Praca stacjonarna

Data publikacji: 30.08.2026

Fidelity Wealth’s Trade Management Engineering group is responsible for building world-class electronic trading solutions for Fidelity’s Capital Markets division. We are a high-performing, fast-paced technology team working with cutting-edge tools to deliver low-latency, high-throughput trading platforms. Our work spans across internal and external teams to build seamless, end-to-end electronic trading workflows. We are seeking a highly experienced software engineer to lead the design and development of next-generation trading systems. This is a hands-on technical leadership role focused on building scalable, resilient, and high-performance trading infrastructure. You’ll collaborate across teams, mentor engineers, and drive innovation in a mission-critical environment.

Responsibilities

Architect and develop distributed, event-driven electronic trading systems optimized for low latency and high throughput; Design and implement complex algorithmic trading systems for equities and options; Collaborate with internal and external teams to deliver robust and resilient systems; Lead performance tuning and optimization efforts across the platform; Lead and mentor engineers and promote engineering best practices; Support production and non-production environments, including off hours or weekend support as needed

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Technology, or equivalent; 20+ years of hands-on software design and development experience in the electronic trading domain; 10+ years of technical leadership, managing a team, and mentoring software developers; Experience in building algorithmic trading systems for equities and options; Experience with equities and options market data; Expertise in C/C++, Python, and Linux; Deep experience with low latency messaging systems (e.g., 29West/Ultra-Messaging, Kafka); Proficiency in KDB+ or other time-series databases; Strong background in building scalable, distributed, asynchronous, and event-driven applications; Advanced knowledge of low latency design patterns and performance optimization techniques; Experience in Capital Markets or Brokerage systems, especially order management; Solid understanding of the FIX protocol and FIX engines; Experienced with using GenAI developer assist tools (e.g. GitHub Copilot); Experience with CI/CD tools such as GitHub, Maven, Jenkins, Artifactory, and uDeploy; Experience with deploying applications and services in AWS; Ability to understand complex, end-to-end systems and identify performance, scalability, or resilience bottlenecks; Strong analytical, communication, and organizational skills; Ability to manage multiple tasks and thrive in a collaborative team environment; Self-driven innovation and comfort working with leadership; Willingness to support production systems and participate in on-call rotations, including occasional weekend support

Nice to have

Series 57 and 24 license

Benefits

comprehensive health care coverage; emotional well-being support; market-leading retirement; generous paid time off; parental leave; charitable giving employee match program; educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career
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