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    • Senior Software Engineer – Quant Full Stack - maidstone, england, United Kingdom - JR United Kingdom

    JR United Kingdom
    JR United Kingdom maidstone, england, United Kingdom

    1 month ago

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    Description

    Job Title: Senior Software Engineer – Quant Full Stack & Infrastructure (Team Lead)

    About the Role:

    We are seeking an experienced and versatile Senior Software Engineer to lead a high-performance team. The ideal candidate has expertise across quantitative development, infrastructure engineering, and full-stack development.

    Key Responsibilities:

    • Lead architecture, design, and development of scalable trading platforms and internal developer tools.
    • Collaborate with quant researchers, traders, and infrastructure teams to deliver performant solutions.
    • Maintain and optimize trading infrastructure (low-latency systems, data pipelines, monitoring, etc.).
    • Manage a team of software engineers, mentor junior developers, and drive best practices across the stack.
    • Ensure high code quality through code reviews, CI/CD, test automation, and Git-based workflows.
    • Own deployment pipelines across cloud providers (AWS, GCP, Azure) using containerization (Docker, Kubernetes).
    • Design and implement microservices and APIs for internal tools and external integrations.
    • Work with data at scale (market data ingestion, real-time analytics, historical storage).

    Required Skills & Experience:

    • 5+ years of experience in software development, with exposure to both backend and frontend stacks.
    • Strong programming proficiency in Python, C++, and Java (Quant/Trading grade codebases).
    • Expertise in modern web development with React, Node.js, MongoDB, and SQL (Postgres, MySQL).
    • Strong understanding of Git/GitHub, CI/CD workflows, code branching strategies, and code ownership.
    • Prior work in a fintech, hedge fund, or proprietary trading firm environment.

    Infrastructure & DevOps:

    • Production experience with Kubernetes and cloud-native deployment strategies.
    • Hands-on with AWS, GCP, and Azure for compute, networking, and storage configurations.
    • Familiarity with monitoring/logging tools (e.g., Prometheus, Grafana, ELK stack).

    Trading Systems & Finance:

    • Solid understanding of trading infrastructure, latency optimization, execution systems, and market data feeds.
    • Experience working in or with quantitative research, HFT, or hedge fund teams is highly desirable.

    Leadership:

    • Proven experience managing and mentoring a team of 3–10 engineers.
    • Ability to translate business and research needs into engineering roadmaps.
    • Collaborative mindset, capable of interfacing with multi-disciplinary teams.

    Nice to Have:

    • Experience with Redis, Kafka, or similar real-time streaming/data platforms.
    • Familiarity with financial APIs, FIX protocol, or trading exchange integrations.

    Education:

    • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.

    What We Offer:

    • Competitive compensation + performance-based bonuses.
    • Opportunity to work on cutting-edge financial systems with high-impact teams.
    • Tech-forward culture with strong engineering autonomy.
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