Sr. Systems Engineer w/AWS - Milwaukee, United States - Saxon Global

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    Description

    Client: Allspring (Wells Fargo spinoff)

    Job Title: Sr. Systems Engineer w/AWS

    Location: fully remote, nationwide search

    Contract: 6 month; Contract to Hire

    Conversion Salary: $220k base - please send FTE salary expectations with all submissions

    Interview Process: 2-3 rounds

    *Manager NOTES*

    • Need Python scripting combined with either Java, C# or Rust (Rust is top preference)
    • Must have good knowledge of AWS (they are Cloud first, no on perm)
    • Targeting a Python Engineer with heavy AWS experience
    Company

    Allspring is a leading asset management firm with close to $600 billion of assets under management, 24 offices globally, and specialized investment teams supported by more than 480 investment professionals. Allspring and our investment teams provide a broad range of differentiated products and solutions to help our diverse range of clients meet their investment objectives. We leverage the diversity of people, ideas, and skills to help our clients pursue their financial goals.

    With a rich and established history in the asset management industry, Allspring is now a "start-up at scale" having spun off from Wells Fargo and acquired by GTCR and Reverence Capital Partners in November 2021. The new name, Allspring Global Investments, reflects our commitment to renewal, growth, and meaningful client outcomes. With decades of trusted expertise propelling us forward, we're a company staying true to our core investment roots while reinventing ourselves to offer today's investors a fresh perspective.

    For more information, please visit .

    Position

    As a Senior Python Engineer at Allspring Global Investments you will play a vital role in delivering key features and capabilities to our Separately Managed Accounts Platform. You will be encouraged to be creative in solving problems both in the optimization space as well as in data and micro-services, working with data scientists & quantitative portfolio managers to accommodate massive growth. As a member of the engineering team, you will have access to a massive dataset of financial data. You will be a key player in productionizing new features that deliver data & insights to improve portfolio optimization at scale.

    In this role, you will be highly collaborative - with our Portfolio Optimization stream, Data Engineering stream, User Experience stream, and other engineering teams. Interpersonal skills and the ability to learn and act quickly are crucial to succeeding in this role.

    Responsibilities include:
    • Develop best in class software for distributed research and portfolio optimization models
    • Building a highly scalable system for ingesting, transforming, and enhancing billions of data points
    • Optimizing data pipelines for performance and scalability
    • Providing mentorship to the team on best practices and architecture in Big Data systems
    • Establishing automated mechanisms to monitor and improve data integrity across all services & systems
    • Partnering with the Systematic SMA team to implement advanced algorithmic models
    • Being a key contributor in defining a distributed optimization engineering roadmap and coordinating multiple projects
    Candidate
    The ideal candidate for this position has a background in a variety of systems including streaming, ETL, micro-services, modeling, and is proficient in software engineering best practices. This individual will enjoy building and optimizing highly technical big data systems, keeping up with the latest tools and techniques, and collaborating with a small team. We are looking for a self-starter who has the desire to be the go-to person for Python and interesting problems to solve in a fast-growing start-up making a tangible