Lead Software Engineer

Lead Software Engineer

Role Summary: This Lead Software Engineer will be part of the Legal, Compliance, Audit and Enterprise Risk Technology team and will deliver technological solutions that align to the business strategies while improving efficiency and regulatory compliance, reduce risk, and improve user experience. The role leads the design, development, and deployment of cloud native and AI applications hosted on AWS and internal infrastructure. The engineer will lead a team of developers and collaborate with cross‑functional teams and various stakeholders to ensure the delivery of scalable and resilient applications, fostering innovation to build applications that provide business‑value solutions for clients.

Responsibilities

• Mentor and lead other developers enabling them to work independently.
• Lead development efforts, provide input into architectural and design decisions, and provide realistic estimates.
• Design and develop solutions working with other internal groups such as architecture, devops and enterprise security to ensure alignment with enterprise technology direction and standards.
• Contribute to code reviews and provide feedback.
• Lead discussions to drive tactical vs. strategic decisions, outlining trade‑offs.
• Work directly with business partners, articulating business needs and translating them into technology solutions.

Qualifications

• BS or MS in Computer Science or a related technical field (or equivalent experience), with 8+ years of progressive professional development experience in more than one object‑oriented language such as Java, Python, or JavaScript, including demonstrated leadership of engineering teams.
• Extensive hands‑on expertise in delivering cloud‑native solutions using AWS or Azure, containerized microservices.
• Hands‑on experience with data warehousing and modeling concepts, and building and maintaining data pipelines (ETL/ELT) using Informatica, SnapLogic, or Apache Spark.
• Strong understanding of data quality, monitoring, and performance optimization.
• Working knowledge of DevOps, CI/CD, and infrastructure as code.
• Demonstrated commitment to engineering excellence through setting and upholding standards for automated testing, code reviews, and continuous delivery.
• Ability to provide clear and concise explanations of business strategy, technical concepts, designs or implementation to a non‑technical audience.
• Fast learner who keeps abreast of new technologies and industry trends.
• Ability to support deployments and support activities outside normal business hours as needed.

Preferred Qualifications

• Hands‑on experience building LLM‑powered or agent‑based systems in production.
• Experience with retrieval‑augmented generation (RAG), vector databases, MCP servers, agent orchestration frameworks, prompt evaluation and iteration, model benchmarking, and performance testing.
• Experience with Amazon Bedrock AgentCore, AWS Kiro, and OpenAI Codex.
• Knowledge of security best practices for cloud‑native applications and AI systems.
• Experience in asset management or financial markets.

Work Flexibility

This role is eligible for hybrid work, with up to three days per week from home.

Commitment to Diversity, Equity, and Inclusion

At T. Rowe Price, our associates are our greatest asset. We thrive because our company culture is built on inclusion and we sustain a work environment where associates can bring their best selves to work every day. We expect equal opportunity and fair and consistent treatment for all.

Benefits

• Competitive compensation.
• Annual bonus eligibility.
• Generous retirement plan.
• Hybrid work schedule.
• Health and wellness benefits, including online therapy.
• Paid time off for vacation, illness, medical appointments, and volunteering days.
• Family care resources, including fertility and adoption benefits.

Equal Opportunity Employer

T. Rowe Price is an equal opportunity employer and values diversity of thought, gender, and race. We do not discriminate on the basis of race, religion, creed, color, national origin, sex, gender, age, mental or physical disability, marital status, sexual orientation, gender identity or expression, citizenship status, military or veteran status, pregnancy, or any other classification protected by law.