Senior Software Engineer

Arrowstreet Capital•Boston, MA

2d•$135,000 - $325,000

About The Position

The Investment Data team develops technological solutions that power Arrowstreet Capital’s investment services and operations. Our mission is to automate complex business processes, improve the quality and accessibility of investment data, and build resilient systems that are essential to the firm’s ability to deliver sustained alpha and meet its fiduciary obligations. We are seeking a highly adaptable senior engineer with strong technical breadth, sound architectural judgment, and a demonstrated ability to move quickly from discovery to prototype to production. This role is ideal for someone who is energized by unfamiliar problem spaces, can rapidly learn new technologies, and is comfortable operating across application, data, cloud, and deployment layers. The right candidate is not defined solely by expertise in one stack. We are looking for an engineer who can evaluate tools pragmatically, build proof-of-concepts to test ideas, evolve successful experiments into production-grade solutions, and take ownership of outcomes end-to-end. This is a hands-on role with meaningful influence on technical direction, modernization efforts, and the future shape of investment technology at the firm. Because our team leverages common platforms and shared capabilities developed across the broader Investment Technologies organization, success in this role also requires strong collaboration, communication, and the ability to work effectively across teams.

Requirements

Significant professional experience designing, building, and supporting complex software systems in production environments.
Demonstrated ability to learn unfamiliar technologies, frameworks, and domains quickly and apply them effectively to real business problems.
Strong proficiency in at least one modern programming language; Python experience is helpful, but the ability to ramp quickly in new languages and tools is equally important.
Experience building proof-of-concepts, greenfield solutions, or early-stage technical experiments and maturing them into maintainable production systems.
Strong systems design and architectural skills, with the ability to reason across application, data, infrastructure, and operational concerns.
Experience with cloud platforms and modern deployment patterns; AWS experience is preferred.
Familiarity with technologies and approaches such as APIs, SQL, data processing frameworks, containers, serverless, CI/CD, infrastructure automation, and observability tooling.
Strong debugging, testing, and production support skills in mission-critical environments.
Ability to operate effectively in ambiguous situations with incomplete requirements and evolving priorities.
Excellent communication, organization, and collaboration skills, with the ability to influence technical and non-technical stakeholders.
Strong ownership mindset and a bias toward action, balanced by sound engineering judgment.

Nice To Haves

Experience in asset management, financial services, or other data-intensive environments is a plus, but not required.

Responsibilities

Partner with business and technology leaders to understand strategic objectives, identify opportunities, and define solution approaches for complex and evolving problems.
Rapidly evaluate new technologies, frameworks, and architectural patterns to determine fit for business needs and technical constraints.
Build proof-of-concepts and pilot implementations to validate ideas, reduce uncertainty, and accelerate decision-making.
Translate successful prototypes into production-ready systems with appropriate architecture, testing, observability, security, and operational controls.
Design and implement scalable software solutions that support investment data workflows and investment process applications.
Operate across multiple layers of the stack, including backend services, data pipelines, APIs, cloud infrastructure, orchestration, and deployment automation.
Modernize legacy systems and workflows by adopting cloud-native and platform-driven approaches where they provide clear value.
Improve system resiliency, performance, automation, and maintainability across critical investment technology platforms.
Make pragmatic tradeoff decisions across speed, complexity, risk, scalability, and long-term supportability.
Lead or influence technical design efforts, mentor other engineers, and help establish sound engineering patterns for experimentation and delivery.
Collaborate with partner teams to integrate shared platforms and reusable capabilities into business-facing solutions.
Support production issues with urgency and ownership, while driving improvements that reduce operational burden over time.