T. Rowe Price

Cloud Engineer

• Lead the architecture, design, and evolution of cloud storage platforms supporting CloudNext and data center exit objectives
• Define enterprise storage patterns across NetApp, Amazon FSx for NetApp ONTAP, Nasuni, Amazon EFS, Amazon EBS, Amazon S3, and backup services
• Engineer secure, scalable, highly available, and resilient storage solutions for enterprise workloads
• Own technical standards for performance, capacity, availability, recoverability, data protection, lifecycle management, and cost efficiency
• Design and implement automation for provisioning, configuration, policy enforcement, monitoring, and operational support using infrastructure-as-code and Git-based workflows
• Create reusable modules, reference architectures, guardrails, and self-service patterns
• Lead workload discovery, storage assessment, migration planning, data movement, cutover, validation, and decommissioning
• Partner with application and platform teams to select appropriate storage services
• Embed monitoring, logging, alerting, capacity management, and performance analytics
• Serve as escalation point for complex storage incidents and performance issues, leading root-cause analysis and remediation
• Assess dependencies across networking, identity and access, encryption, backup, operational tooling, and regulatory controls
• Guide transition from on-premises storage to cloud storage platforms while mentoring and upskilling storage engineers
• Influence roadmaps and investment decisions for cloud and on-premises storage technologies
• Participate in Agile delivery, contributing to epics and stories, tracking work, and supporting planned releases

Principal Cloud Engineer, Storage

Network Engineer

• Lead the design, architecture, and evolution of enterprise cloud platforms, including AWS Landing Zone
• Ensure cloud foundations are designed for high availability, fault tolerance, recoverability, security, and operational resilience
• Design and implement cloud solutions using AWS services such as Amazon EC2, Amazon S3, Amazon ECS, Amazon EKS, Elastic Load Balancing, Amazon RDS, Route 53, AWS Lambda, and Amazon API Gateway
• Design and automate advanced AWS networking solutions, including virtual private clouds, Transit Gateway, VPC peering, AWS PrivateLink, and AWS Direct Connect
• Build and maintain infrastructure as code using Terraform, CloudFormation, Ansible, and Git-based workflows
• Own site reliability engineering outcomes across cloud platforms and drive adoption of reliability engineering practices
• Standardize reusable modules, reference architectures, and platform patterns for consistent, reliable deployments at scale
• Define and enforce reliability standards, availability targets, recovery expectations, resilience patterns, and operational readiness criteria
• Embed instrumentation, monitoring, logging, alerting, and service health measures into platforms and services
• Act as the escalation point for complex incidents, leading root-cause analysis and long-term remediation
• Design and implement guardrails for secure, reliable, self-service cloud adoption
• Enable application teams to own end-to-end services while meeting platform reliability and operational standards
• Participate in an Agile delivery model, contributing to stories and epics, tracking work, and supporting sprint releases
• Partner with Application Development, Development Services, Enterprise Architecture, Enterprise Security, and infrastructure teams
• Mentor engineers and promote operational excellence, continuous improvement, and technology modernization

Principal Cloud Engineer – Network/Security

Financial Planning and Analysis

• Develop and execute a territory business plan to drive sales, asset growth, and market share
• Build and strengthen relationships with financial advisors, broker-dealers, and key decision-makers
• Identify, prospect, and convert new business opportunities while expanding existing client relationships
• Serve as a trusted advisor by delivering investment insights, business solutions, and market expertise
• Partner across investment, product, marketing, and relationship management teams to deliver customized client solutions
• Lead client presentations, business reviews, and sales discussions with advisors and firm leaders
• Monitor industry trends, competitive developments, and regulatory changes to identify opportunities and provide strategic guidance
• Share best practices and contribute to the ongoing development of sales strategies, tools, and client engagement approaches
• Ensure compliance with all regulatory, risk management, and firm policies

Regional Investment Consultant

Full-stack Engineer

• Lead delivery across all phases of the software development lifecycle, from design through deployment and support
• Build high-quality, scalable software using Agile development, continuous integration, code review, pairing, unit testing, and refactoring
• Drive engineering best practices, lead code reviews, and help manage technical debt across the team’s applications
• Solve complex or ambiguous business and technical problems with sound judgment and balanced tactical and strategic thinking
• Lead small project teams when needed and mentor junior engineers through coaching, feedback, and hands-on support
• Partner closely with business stakeholders to understand needs and translate them into effective technology solutions
• Use AI-powered development tools responsibly to improve productivity, code quality, documentation, troubleshooting, and delivery outcomes
• Support Cash Management Technology capabilities including currency exposure hedging, foreign exchange trading, cash forecasting and reporting, and cash flow notifications
• Expand integrations with third-party vendors and the investment data warehouse
• Modernize existing in-house applications and deliver lean, service-driven web applications in a cloud-native environment

Senior .Net Software Engineer

Backend Engineer

• Design, develop, adapt, and implement short-term and strategic technology solutions
• Work with new and existing applications, systems, databases, and associated infrastructure
• Review and interpret system requirements and business processes
• Code, test, debug, and deploy software solutions
• Collaborate with Quants, Portfolio Managers, and Analysts to define requirements and testing strategies
• Participate in technical and design discussions
• Utilize internal tools to manage AWS-based services
• Integrate with RESTful and GRPC APIs
• Contribute to unit and integration testing
• Maintain and enhance the CI/CD pipeline
• Translate business requirements into technical specifications
• Manage technical debt in delivered solutions
• Make tactical and strategic technical decisions
• Mentor junior team members
• Assist colleagues and suggest improvements to team practices
• Collaborate directly with business partners to understand their needs
• Transform business requirements into technology solutions

Senior Software Engineer, Python

Insurance

• Provide second-line oversight and credible challenge to management of technology, cyber, cloud, resilience, third-party technology, data protection, and AI-related risks across the enterprise.
• Lead and support risk assessments, control reviews, thematic deep dives, and oversight of major technology change, cyber, and AI-enabled initiatives.
• Lead or support AI, model and technology incident management, including identification, reporting, escalation, root cause analysis, remediation, and lessons learned.
• Assess whether risks, controls, remediation plans, exceptions, and risk acceptances are appropriately identified, challenged, escalated, and managed.
• Develop risk reporting, KRIs, dashboards, and committee materials for senior leaders.
• Support enhancements to technology, cyber, and AI risk frameworks, policies, standards, control frameworks, assessment methodologies, and governance routines.
• Monitor regulatory developments, industry guidance, threat trends, audit findings, incidents, and emerging technology risks.
• Collaborate with Technology, Cybersecurity, Compliance, Operational Risk, Third-Party Risk, Business Resilience, Legal, and Internal Audit.
• Partner with business risk managers on technology, data, and operations business risk initiatives.

Senior Manager, Technology – Cyber Risk Management

Artificial Intelligence

• Serve as a leading investment-facing resource on AI and innovation with clients, prospects, consultants, distribution partners, and at industry events
• Partner with Investment AI Solutions, investment professionals, technology teams, and other subject matter experts to understand how AI and emerging technologies are applied across the investment process
• Develop presentations, thought leadership, and standardized messaging that make complex AI concepts practical and relevant to investment audiences
• Partner with sales, relationship management, Portfolio Specialists, The Lab @ T. Rowe Price, marketing, communications, and RFP teams to support client acquisition and retention
• Understand and communicate the investment platform’s views on the implications of AI for markets, industries, and investment opportunities
• Monitor AI developments and capture feedback from clients, consultants, and distribution partners to inform messaging, education, thought leadership, and client engagement priorities
• Travel approximately 20–40% in the U.S. and globally
• Explain how T. Rowe Price uses AI thoughtfully and responsibly across research, idea generation, portfolio construction, risk management, and investment decision making

Investment Strategist, Artificial Intelligence

• Design, build, and deliver scalable software solutions across applications, services, databases, and infrastructure
• Develop and enhance backend services and cloud-native applications using object-oriented languages, microservices patterns, and AWS or similar cloud technologies
• Own applications and services end-to-end, including development, support, troubleshooting, and continuous improvement
• Contribute to architecture and design discussions, evaluate tradeoffs, identify risks, and drive technical alignment
• Make engineering decisions, incorporate feedback, and adjust solutions based on outcomes
• Partner with stakeholders and subject matter experts to translate business goals into technical solutions
• Apply automated testing, code reviews, observability, CI/CD, and iterative delivery
• Identify and reduce technical debt while improving application design, data flows, and engineering processes
• Ensure consistency, reliability, and visibility of analytics and risk-related data across portfolio management and analytics platforms
• Build and modernize cloud-enabled applications used by Risk Analysts, Portfolio Managers, and Quants

Senior Full Stack Software Engineer – Investment Risk Technology

AI Engineer

• Lead the design, development, and deployment of production-grade agentic AI systems embedded in the investment lifecycle
• Work in cross-functional squads across Investments, Investments Technology, and TRP Labs
• Architect, build, and operationalize autonomous AI agents interacting with proprietary financial data, enterprise systems, and investment professionals
• Help define technical standards, architectural patterns, governance frameworks, and engineering discipline for responsible AI at scale
• Provide technical mentorship and oversight to engineering squads
• Partner with business stakeholders to develop agent-driven workflows that automate complex processes and generate actionable insights
• Establish and enforce best practices in AI development, continuous integration, and code quality
• Oversee projects involving agent orchestration, prompt engineering, and real-time data-driven automation
• Prioritize and manage technical debt and improve AI platforms and infrastructure
• Identify opportunities to apply AI agents for business value and operational efficiency
• Translate complex business requirements into robust, scalable technology solutions

Lead AI Software Engineer – Investments Technology

• Lead the design, development, and deployment of production-grade agentic AI systems embedded in the investment lifecycle
• Architect, build, and operationalize autonomous AI agents interacting with proprietary financial data, enterprise systems, and investment professionals
• Support AI agents across investment research, quantitative analysis, portfolio management, and trading functions
• Define technical standards, architectural patterns, governance frameworks, and engineering discipline for responsible AI at scale
• Provide technical mentorship and oversight to engineering squads
• Collaborate across Investments, Investments Technology, and TRP Labs
• Partner with business stakeholders to develop agent-driven workflows that automate complex processes and generate actionable insights
• Establish and enforce best practices in AI development, continuous integration, and code quality
• Oversee agent orchestration, prompt engineering, and real-time data-driven automation projects
• Prioritize and manage technical debt and improve AI platforms and infrastructure
• Identify opportunities to apply AI agents for business value and operational efficiency
• Translate complex business requirements into robust, scalable technology solutions aligned with organizational strategy

Business Analyst

• Serve as a lead business analyst for Investments Technology initiatives supporting Equity investment teams, including research, portfolio management, trading, analytics, and related investment workflows
• Partner with portfolio managers, analysts, traders, product owners, engineers, architects, data teams, and technology leaders to translate business objectives into actionable technology outcomes
• Lead discovery, requirements elicitation, process analysis, data analysis, and solution definition for complex Equity technology initiatives
• Translate investment workflows and business needs into epics, features, user stories, acceptance criteria, business rules, process flows, and functional specifications
• Drive Agile delivery practices, including backlog refinement, sprint planning, prioritization, dependency management, sprint reviews, UAT coordination, release readiness, and post-implementation support
• Prioritize work by business value, risk, urgency, stakeholder impact, and alignment with Investments Technology strategy
• Identify opportunities to apply AI, automation, data-driven insights, and workflow improvements to enhance Equity research, investment analysis, operational efficiency, and decision support
• Collaborate with AI, data, engineering, and product teams to define responsible AI use cases, user workflows, validation needs, controls, and adoption considerations
• Analyze current-state processes and systems to identify gaps, pain points, data quality issues, and opportunities for simplification, standardization, and reuse
• Communicate priorities, progress, risks, decisions, and tradeoffs to business stakeholders, technology teams, and leadership
• Act as a trusted advisor across the Equity business domain, connecting investment strategy with technology strategy
• Mentor less experienced analysts and strengthen business analysis, Agile delivery, and product ownership practices

Lead Business Analyst – Investment Technology – Equity

• Own the design, development, testing, deployment, and support of high-quality, scalable applications supporting Multi-Asset investment workflows
• Translate complex business needs into practical, maintainable technical solutions with product owners, investment professionals, and technology stakeholders
• Contribute to technical design decisions, architecture discussions, code reviews, and engineering standards
• Apply agile delivery, continuous integration and delivery, automated testing, refactoring, and secure coding principles
• Troubleshoot complex technical issues, identify root causes, and implement durable solutions improving reliability and performance
• Mentor and support other engineers by sharing knowledge and promoting best practices
• Partner with portfolio managers, quantitative researchers, traders, and senior stakeholders
• Contribute across the full product lifecycle from architecture and development through deployment, support, and continuous enhancement

Senior Software Engineer – Multi-Asset Technology

• Design, develop, modify, adapt, and implement technology solutions supporting the Investments Technology – Equity team
• Build scalable, reliable full-stack applications and services using Java, Python, React, JavaScript, and related frameworks
• Partner with investment professionals, product owners, and technology colleagues to interpret business needs and review system requirements
• Perform coding, testing, debugging, deployment, and production support
• Lead projects or work streams and significant pieces of development
• Develop standard methodologies, reusable components, automated testing, and responsible AI-enabled development practices
• Lead code reviews and provide feedback on designs and code
• Design and deliver user-facing features, back-end services, and integration layers
• Translate Equity investment workflows, data needs, and business priorities into technology solutions
• Explore AI use cases for developer productivity, decision support, automation, and user experience
• Maintain accountability for technical debt
• Lead small project teams as required
• Mentor junior team members and improve team practices
• Make tactical and strategic trade-offs while solving complex problems

Senior Software Engineer – Investment Technology – Equity

• Build a suite of next-generation, cloud-native applications supporting the Investment Division
• Solve complex business and technical challenges in a hands-on, full-stack engineering role
• Contribute across the full product lifecycle, from design and development through deployment and enhancement
• Work independently and collaboratively with cross-functional technology and business partners
• Collaborate with portfolio managers, quantitative researchers, traders, and senior stakeholders
• Apply agile development, continuous delivery, code review, testing, and refactoring practices
• Deliver practical, high-value client-focused solutions iteratively
• Contribute to engineering excellence, quality, learning, and continuous improvement
• Share knowledge and support an inclusive, collaborative team environment

Software Engineer – Multi-Asset Technology

Director

• Externally deliver and present programs to groups ranging from a few people to hundreds, from in-person to virtual settings and from small events to national keynotes
• Act as a subject matter expert on programs and communicate and promote insights to home office partners, in-field interactions, social channels, media, and press outlets
• Translate client needs and business objectives into compelling content and programs for financial professionals
• Conduct discovery and research with internal and external inputs to create unique and proprietary insights
• Work with a cross-functional working team and creative agency to bring insights to life in a relevant and compelling way
• Train associates on key messages, positioning, and core content for broader, scaled delivery

Principal Cloud Engineer, Storage

Principal Cloud Engineer – Network/Security

Regional Investment Consultant

Senior .Net Software Engineer

Senior Software Engineer, Python

Senior Manager, Technology – Cyber Risk Management

Investment Strategist, Artificial Intelligence

Senior Full Stack Software Engineer – Investment Risk Technology

Lead AI Software Engineer – Investments Technology

Lead AI Software Engineer – Investments Technology

Lead Business Analyst – Investment Technology – Equity

Senior Software Engineer – Multi-Asset Technology

Senior Software Engineer – Investment Technology – Equity

Software Engineer – Multi-Asset Technology

Director, Insights Leader