We are seeking an experienced Senior Software Engineer to join our Developer Services team, supporting T. Rowe Price's generative AI initiatives and foundational development capabilities. In this role, you'll design, implement, and support the critical tools and infrastructure that enable our company's development of innovative generative AI-based systems. Working primarily in AWS, you'll architect internal systems, services, and automation while contributing your expertise to drive technical excellence across our generative AI engineering efforts, while supporting developer operations.
Responsibilities
Design and architect internal tools, services, and automation solutions using Python to support enterprise-scale generative AI capabilities
Architect and implement cloud infrastructure using Terraform, establishing Infrastructure as Code best practices, reusable modules, and governance patterns
Design and develop sophisticated microservices using Python and Java within complex distributed, event-driven architectures
Architect scalable solutions leveraging AWS services including IAM, Lambda, ECS/Fargate, S3, and DynamoDB with a focus on reliability and performance
Design REST APIs and event-driven integrations, establishing patterns and standards for platform services
Architect containerized applications using Docker and implement robust CI/CD pipeline practices
Design and maintain internal frameworks, SDKs, and tooling that enable development teams across the organization
Establish comprehensive logging, monitoring, and observability strategies to ensure platform reliability and performance
Drive code quality through architectural review and establishing testing strategies
Design configuration-driven systems using JSON/YAML schemas and validation frameworks
Troubleshoot complex distributed systems issues and provide technical expertise
Collaborate with stakeholders to define integration strategies with enterprise systems
Stay current with emerging agent frameworks, LLM technologies, and automation patterns, evaluating their applicability to platform needs
Share knowledge and provide guidance to team members
Qualifications
Required:
Bachelor’s degree or the equivalent combination of education and relevant experience AND 5+ years of total relevant work experience
Solid working knowledge of Java or Python for service integrations and microservices development
Hands-on experience with AWS services (IAM, Lambda, ECS/Fargate, S3, DynamoDB) and cloud architecture patterns
Proven experience designing and implementing microservices architecture, REST APIs, and event-driven systems
Strong experience with Git workflows, branch strategies, and designing CI/CD pipelines
Expertise in Docker and containerized development workflows
Deep understanding of OAuth2, OIDC, JWT, and enterprise identity systems such as ADFS
Demonstrated ability to design and implement authentication/authorization workflows including token validation and identity federation
Strong problem-solving and debugging skills in complex distributed systems environments
Excellent communication skills with ability to explain technical concepts to diverse audiences
Track record of building internal developer platforms, frameworks, or enablement tools
Preferred:
Experience with emerging LLM frameworks, agent-based systems, or AI/ML platform engineering
Experience with Terraform including module development, IaC patterns, and cloud provisioning strategies
Strong proficiency in Python for building enterprise-scale services, tools, and automation
Design authentication and authorization solutions using OAuth2, OIDC, JWT, and enterprise identity systems (ADFS), including token validation and identity federation
Background in platform engineering or developer enablement roles
Experience establishing observability practices and implementing monitoring solutions at scale
Knowledge of security best practices for cloud-native applications and AI systems
Experience with multiple cloud providers or hybrid cloud architectures
Contributions to open-source projects or internal tooling communities
Experience collaborating on technical initiatives and sharing expertise with team members
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States (e.g., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant work status)
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
Sign in
To continue your applicationor continue with email
By continuing you agree to our Terms & Privacy Policy.
