Sr. Software Engineer- Investment Technology- Equity

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 In this role, you will design, develop, modify, adapt, and implement technology solutions that support the Investments Technology – Equity team. You will work across the full stack to build scalable, reliable applications and services using technologies such as Java, Python, React, and JavaScript. You will partner closely with investment professionals, product owners, and technology colleagues to interpret business needs, review system requirements, code, test, debug, and implement software solutions. You will also bring curiosity and practical exposure to artificial intelligence, exploring how AI-enabled tools and capabilities can improve engineering practices, investment workflows, and user experiences. Lead projects or work streams Be accountable for your work and sometimes others, provide process and standards advice in your area of specialization Work independently Serve as a resource for colleagues with less experience Responsibilities Performing as a domain expert in one or more parts of the software lifecycle, including full stack application development, API design, coding, testing, deployment, and production support. Leads significant pieces of development within the development lifecycle Contributing to the development of standard methodologies within your group, including modern engineering practices, reusable components, automated testing, and responsible experimentation with AI-enabled development tools Leading code reviews and actively participates in providing feedback on others’ designs/code Designing and delivering user-facing features, back-end services, and integration layers using Java, Python, React, JavaScript, and related frameworks Partnering with Equity investment teams to understand workflows, data needs, and business priorities, then translating those needs into effective technology solutions Exploring practical AI use cases, tools, and engineering patterns that can enhance developer productivity, decision support, automation, and the overall user experience Being accountable for technical debt in your own software Leading a small project team, as required Taking control of complex problems and step through them in a rational way Making tactical vs. strategic trade-offs Being flexible in your thinking; able to evolve a solution when additional information or ideas are presented Mentoring junior members of the team Identifying when junior engineers need help and providing it in a positive way that promotes confidence. Actively helping team members/make suggestions to improve practices. Business Knowledge Able to work directly with investment business partners, including Equity stakeholders, to understand priorities, clarify requirements, and deliver solutions that support investment decision-making Decisions show a focus on current and future business priorities, together with fiscal responsibility Can articulate business needs and translate them into technology solutions across user interfaces, services, data integrations, and AI-enabled capabilities where appropriate Qualifications Required: Bachelor's degree or the equivalent combination of education and relevant experience and typically requires 5+ years of progressive experience In-depth knowledge and expertise in your job discipline and working knowledge of related disciplines Stays up to date with emerging technologies, including modern full stack development practices, cloud-native patterns, and artificial intelligence trends relevant to investment technology Programs proficiently in multiple languages and frameworks, with hands-on experience or strong working knowledge of languages such as:  Java, Python, React, JavaScript, and related full stack technologies Demonstrates curiosity about AI and exposure to AI concepts, tools, or platforms, with interest in applying them responsibly to improve software delivery, automation, and investment workflows Shows dedication to quality by implementing suitable software using unit/integration and acceptance testing at the time of feature development Develops data models or schemas from scratch and knows of key concepts such as ACID, Normalization, and Transactions Debugs large components with limited assistance and assists other engineers Designs and develops practical APIs and abstractions. Preferred: Experience supporting Equity, investment management, asset management, capital markets, wealth management, or other front-office financial services technology environments.  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.  WHAT TO EXPECT AFTER APPLYING 1. You will receive an email and text message to answer a few questions to verify your eligibility. If you apply for multiple jobs, you wi