engineering manager DevX GenAI - ST, Seattle WA at Starbucks Coffee Company

Seattle, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

21 Apr, 26

Salary

0.0

Posted On

21 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Development, AI Platforms, Observability Standards, Identity Management, Authentication, Authorization, Secrets Management, Cloud Computing, Python, Java, Distributed Systems, Service Resiliency, Agentic AI Systems, Developer Experience, Operational Readiness, Coaching, Cross-Functional Collaboration

Industry

Retail

Description

Responsibilities and essential job functions include but are not limited to the following: Evaluates and integrates state-of-the-art agentic AI platforms and frameworks, ensuring solutions meet enterprise standards for scalability, security, and maintainability. Establishes and enforces observability standards for AI agents, APIs, and platform services, including logging, metrics, tracing, alerting, and incident response. Ensures AI agents and platform services integrate with enterprise identity and access management systems and defines patterns for authentication, authorization, secrets management, and least-privilege access. Develops and implements engineering solutions that improve efficiency, increase capacity, and reduce operational costs. Provides coaching and mentoring to engineering partners and fosters a culture of technical excellence and operational ownership. Establishes strong cross-functional relationships with business, security, infrastructure, and technology partners. Supports development teams and resolves developer issues in a timely and accurate manner. Ensures application and infrastructure architectures are stable, secure, compliant, and aligned with company standards and practices. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law. Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances. 4-8 years of professional software development experience. Bachelor's degree in Computer Science or a related field, or equivalent experience. Demonstrates understanding of software development lifecycles, developer workflows, and modern engineering practices. Has experience leading advocacy, enablement, or training programs that drive adoption of new technologies within large engineering organizations. 5+ years of experience managing medium- to large-scale initiatives and leading cross-functional teams. 5+ years of experience with one or more of the following languages: Python, Go, Java, C#, and/or Ruby. 3+ years of experience designing, building, or operating large-scale distributed systems and client-server architectures. 3+ years of experience with service resiliency, observability, and operational readiness for applications and platforms. Demonstrates familiarity with modern AI architectures and techniques, including prompt engineering, fine-tuning, and retrieval-augmented generation (RAG). Has experience designing or operating agentic AI systems, including multi-agent architectures and orchestration frameworks. Shows passion for improving developer experience and advancing AI-assisted software development. Experience with cloud computing platforms such as Amazon AWS, Microsoft Azure, or Google Cloud. Knowledge and understanding of relevant legal and regulatory requirements (e.g., SOX, PCI, data protection). Demonstrated experience implementing and managing high-capacity, mission-critical environments. Experience with agent development and automation tools such as Amazon AgentCore, LangGraph, or n8n.

Responsibilities

The Engineering Manager will evaluate and integrate AI platforms, ensuring they meet enterprise standards. They will also establish observability standards and support development teams while fostering a culture of technical excellence.