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Job description
At T. Rowe Price, we identify and actively invest in opportunities to help people thrive in an evolving world. As a premier global asset management organization with more than 85 years of experience, we provide investment solutions and a broad range of equity, fixed income, and multi-asset capabilities to individuals, advisors, institutions, and retirement plan sponsors. We take an active, independent approach to investing, offering our dynamic perspective and meaningful partnership so our clients can feel more confident.
We believe doing the right thing for our clients and our associates is good business . With a career at the firm, y ou can expect opportunities to create real impact at work and in your community. Y ou'll enjoy resources to support your career path, a s well as compensation , benefits , and flexibility to enrich your life. Here, you'll find a collaborative culture that respect s and valu e s differences and colleagues who share a spirit of generosity .
Join us for the opportunity to g row and make a difference in ways that matter to you .
Role Summary
You’ll join a team of experienced engineers working on systems that matter-technology that helps investment professionals make informed decisions and better understand risk. This is a chance to work on modern cloud-based platforms, influence technical direction, and contribute to products with direct impact on the investment process.
Our team is modernizing legacy platforms and building the next generation of cloud-enabled applications used by Risk Analysts, Portfolio Managers, and Quants. These tools help investment professionals evaluate ideas, analyze portfolio risk, run simulations, assess proposed trades, and explore what-if scenarios. This is a great opportunity for someone who wants to combine deep technical engineering with real business impact.
You’ll work on technology that plays an important role in the investment process by helping stakeholders:
Evaluate investment opportunities
Understand portfolio and trade risk
Deliver risk insights and portfolio analysis
Support communication with internal teams and clients
Our core technology stack includes:
C# / .NET
PostgreSQL
React
AWS, including SNS/SQS, S3, Lambda, ECS, and DynamoDB
Snowflake
Dagster
We're also increasingly using AI-enabled tools and capabilities to accelerate development and improve how we deliver solutions.
Responsibilities
Design, build, and deliver scalable software solutions across applications, services, databases, and infrastructure
Develop and enhance backend services and cloud-native applications using modern object-oriented languages, microservices patterns, and AWS or similar cloud technologies
Take end-to-end ownership of applications and services, including development, support, troubleshooting, and continuous improvement
Contribute to architecture and design discussions, evaluate tradeoffs, identify risks, and help drive technical alignment
Make thoughtful engineering decisions, incorporating feedback and adjusting solutions based on outcomes
Partner with stakeholders and subject matter experts to understand business goals and translate them into effective technical solutions
Apply modern engineering practices such as automated testing, code reviews, observability, CI/CD, and iterative delivery
Identify and reduce technical debt while improving application design, data flows, and engineering processes
Help ensure the consistency, reliability, and visibility of analytics and risk-related data across portfolio management and analytics platforms
Qualifications
Required:
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field - or equivalent practical experience
5+ years of progressive software engineering experience building applications in object-oriented languages such as C#/.NET, Java, or similar
Hands-on experience designing and delivering cloud-native solutions in AWS or a comparable cloud platform
Strong understanding of distributed systems, backend application design, APIs, and data-intensive applications
Proficiency with SQL
Experience contributing to technical design and architecture in a collaborative engineering environment
A strong commitment to engineering excellence, including automated testing, code reviews, observability, and continuous delivery
Excellent communication and collaboration skills, with the ability to work effectively across engineering, product, and business teams
Ability to evaluate technical tradeoffs objectively, navigate differing viewpoints, and build consensus around sound solutions
Preferred:
Experience with Python
Experience with React
Background in financial services
FINRA Requirements
FINRA licenses are not required and will not be supported for this role.
Work Flexibility
This role is eligible for hybrid work, with up to three days per week from home.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship
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Worksite address
washington, DC, 20022, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.