Senior Systems Engineer - Toronto - Nubank

    Nubank
    Nubank Toronto

    5 days ago

    Description

    About Us


    Nubank is one of the largest digital financial platforms in the world, with more than 122 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

    Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.

    Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company's Most Innovative Companies, and Forbes World's Best Bank. Visit our institutional page

    The Role


    Senior System Engineer - Systems Performance Team. The Systems Performance team is part of the Computing Squad (Foundation / Runtime Platforms). You will be part of a team focused on building deep diagnostic tools and performing high-level analysis to reduce latency, infrastructure costs, and increase services efficiency. You will execute performance investigations and identify systemic bottlenecks across one of the largest JVM-based microservice architectures in the world, interacting with everything from the Linux Kernel to cloud-wide orchestration.

    You will be responsible

    • Performance Investigation: Identify systemic bottlenecks and efficiency opportunities across a massive microservice architecture.
    • Innovative Solutions: Develop and deliver technical solutions that address complex challenges with a focus on medium and long-term impact.
    • System Optimization: Deep dive into the technical aspects, capabilities, and limitations of our systems to drive continuous improvements.
    • Root Cause Analysis: Perform high-level analysis to identify and resolve the root causes of performance issues.
    • Proactive Design: Anticipate technical and product issues, making design decisions to prevent future bottlenecks.
    • Mentorship & Collaboration: Share knowledge and mentor others, ensuring a high standard of quality and teamwork.

    We Are Looking For a Person Who Has

    • Cloud Expertise: Experience and knowledge of cloud platforms (AWS).
    • Production Environment: Background working with critical, high-availability services.
    • JVM & Internals: Deep interest in understanding service internals, JVM architecture, and performance characteristics.
    • OS Fundamentals: Knowledge of operating systems (scheduling, memory management, I/O) is a strong plus.
    • Analytical Thinking: Passion for performance tuning, capacity planning, and finding creative ways to improve system efficiency.
    • Cultural Alignment: Enthusiasm for ownership, simplicity, and a "veracity-first" approach to problem-solving.

    Our Benefits

    • Opportunity of earning equity at Nu
    • Medical Insurance
    • Dental and Vision Insurance
    • Life Insurance and AD&D
    • Extended maternity and paternity leaves
    • Nucleo - Our learning platform of courses
    • NuLanguage - Our language learning program
    • NuCare - Our mental health and wellness assistance program
    • 401K
    • Saving Plans - Health Saving Account and Flexible Spending Account
    • Work-from-home Allowance
    • Relocation Assistance Package, if applicable.

    Work Model for this Role


    Nubank operates in a hybrid model, where teams collaborate remotely and periodically come together for about one week of in-person sessions. For Canadian team members, these sessions typically take place in one of our hubs (Brazil, Mexico, Colombia, or the United States) and are communicated well in advance to allow proper planning, with travel support provided to ensure equitable access to these global collaboration opportunities.

    Transparency in the use of AI


    Our recruitment process may involve the use of artificial intelligence–enabled tools, such as automated interview transcription and analysis, to support the evaluation process. Artificial intelligence is not used to make final hiring decisions; all decisions are made by human reviewers.


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