Software Engineer - Business and Client Technologies

Arrowstreet CapitalBoston, MA
$95,000 - $165,000Onsite

About The Position

The Business and Client Technologies team are responsible for developing technology solutions supporting Arrowstreet Capital’s Marketing & Reporting, Funds, Finance, Client Management and HR teams. We leverage technology to automate business processes introducing solutions using a combination of custom development and packaged platforms. The Business Development and Relation Management Team (BDRM) provides services and capabilities to our business users that are essential to the firm’s ability to deliver sustained alpha and to meet our fiduciary commitment to our clients. This team supports the Client Management team whose responsibilities include support for our Business Development and Client Relationship Management teams as well as our Client Services team. These teams combine to keep track of prospects as they onboard to become clients, and the workflows and data elements needed for that process. They also maintain cashflows associated with these relationships ensuring fast and accurate informing of our investment process at the firm. Arrowstreet Capital is seeking a Software Engineer to join a highly talented and motivated group of engineers, who build and maintain applications that support the Client Management team at Arrowstreet. This is a critical role that brings significant value to our clients and internal business partners. The ideal candidate is a self-driven, team-oriented, hands-on engineer with previous experience in building technology in the financial services industry, who has a passion for improving software architecture and the development process. They are a creative problem-solver who enjoys working on complex problems as part of a team. Bring your passion for technology, delivery and value-add to our collaborative team and put your experience building cloud-native business-oriented solutions to a challenging, rewarding purpose.

Requirements

  • Bachelor’s degree in Computer Science, Engineering or related field
  • 2+ years of professional software development using C# and/or Python
  • Strong, creative problem-solving abilities
  • Great communication & organizational skills, drive, energy, enthusiasm, maturity, and confidence
  • Basic understanding of modern application architecture and software design principles
  • Exposure to unit testing and software testing practices; familiarity with mocking/isolation frameworks or behavior/domain-driven development is a plus
  • React or similar modern UI framework experience
  • Server side development of Python/.NET APIs
  • Exposure to cloud or platform services such as object storage, serverless compute, managed databases, virtual machines, and container orchestration
  • Exposure to relational databases such as SQL Server, PostgreSQL, or MySQL
  • Experience using Git or similar source code management tools
  • Experience with CI/CD pipelines with Azure/AWS DevOps and/or GitLab/GitHub

Nice To Haves

  • Experience with prompt engineering, retrieval-augmented generation, MCP-based integrations, and AI API-driven application development is a plus
  • Experience working in the financial domain is a plus

Responsibilities

  • Partner with engineers, product owners, and business stakeholders to understand requirements, contribute to solution options, and implement agreed-upon designs
  • Support adoption of cloud-native technology designs and solutions
  • Deliver high-quality value-added enhancements to existing platforms
  • Contribute to automation of software development, testing, and deployment processes
  • Participate as an engaged member of an agile development team
  • Embrace development best practices including continuous delivery, test automation, containerization
  • Create and maintain clear technical documentation for assigned work
  • Assist with business-hours production support and escalation resolution
  • Design, build, and support AI-enabled capabilities within business applications, including integrations with LLM APIs, retrieval-augmented generation, and model context protocol-based workflows.

Benefits

  • base salaries
  • annual discretionary bonuses
  • robust benefits package
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