Starbucks · 4 hours ago
senior engineer, DevEx GenAI Enablement; Seattle WA
Seattle, WA
Full-time
Hybrid
Senior Level
7+ years expStarbucks is a global coffee company committed to inspiring and nurturing the human spirit. They are seeking a Senior Software Engineer to focus on designing, building, and operating AI-powered automation and cloud-native platforms that enhance developer productivity and software release processes.
CoffeeFood and BeverageRestaurantsTea
Responsibilities
Designs, builds, and operates AI-powered automation and agent-based systems across multiple phases of the software development lifecycle (SDLC)
Designs and builds shared cloud-native platforms, services, and frameworks that enable other engineering teams to build, deploy, and operate AI agents and automation safely and efficiently
Provides paved-road infrastructure, APIs, templates, and reference implementations that accelerate adoption of agentic and GenAI capabilities across multiple teams
Implements agentic workflows to analyze requirements, generate test scenarios, identify risks, and surface quality gaps early in the development cycle. Develops AI-driven solutions for automated testing, performance testing, quality validation, and A/B experimentation
Integrates AI-driven quality checks, code analysis, and validation into CI/CD pipelines in partnership with DevOps and SRE teams
Builds and maintains scalable automation frameworks for data processing, model execution, validation, and deployment
Writes clean, efficient, and well-structured software in an iterative, continuous delivery environment
Participates actively in design reviews, code reviews, and incident retrospectives to uphold engineering excellence
Evaluates emerging AI, GenAI, and automation tools through prototypes and proofs of concept, recommending scalable adoption strategies
Contributes to and promotes strong software engineering practices including testing, observability, documentation, and operational readiness
Communicates complex technical concepts clearly to both technical and non-technical stakeholders
Qualification
Required
7+ years of professional experience in software engineering or platform engineering roles
Strong hands-on experience building and operating production-grade software systems
Experience building and operating shared cloud infrastructure or internal platforms used by multiple engineering teams
Proficiency in at least one modern programming language such as Python, Java, Scala, C# or similar
Experience designing and working with distributed systems, service-oriented architectures, and APIs
Experience with CI/CD pipelines, automated testing, and modern DevOps practices
Working knowledge of cloud platforms such as AWS, Azure, or equivalent
Experience working with relational and NoSQL databases
Strong understanding of software engineering fundamentals including testing strategies, code reviews, and system design
Excellent communication and collaboration skills
Preferred
Experience applying Generative AI or AI/ML techniques to software development, quality engineering, or automation workflows
Experience building agentic or GenAI-powered systems using frameworks and platforms such as LangChain, AWS Bedrock, or similar orchestration and model hosting technologies
Familiarity with agentic AI concepts including LLM orchestration, autonomous agents, retrieval-augmented generation (RAG), prompt engineering, and vector databases
Experience designing enablement platforms, SDKs, or reusable services that allow other teams to build and extend AI-driven or automation workflows independently
Experience defining guardrails, abstractions, and operational standards that enable teams to safely adopt AI and agent-based systems at scale
Experience working with open-source LLMs and AI frameworks
Hands-on experience with data platforms and streaming technologies such as Kafka, Spark, Hadoop, or Databricks
Knowledge of MLOps practices including model deployment, monitoring, governance, and lifecycle management
Experience building internal developer platforms, tooling, or productivity solutions
Ability to mentor other engineers through technical leadership and example, without direct people management responsibility
Benefits
Medical, dental, vision, basic and supplemental life insurance
Short-term and long-term disability
Paid parental leave
Family expansion reimbursement
Paid vacation from date of hire
Sick time (accrued at 1 hour for every 25 hours worked)
Eight paid holidays
Two personal days per year
Participation in a 401(k) retirement plan with employer match
A discounted company stock program (S.I.P.)
Starbucks equity program (Bean Stock)
Incentivized emergency savings
Financial well-being tools
100% upfront tuition coverage for a first-time bachelor’s degree through Arizona State University’s online program via the Starbucks College Achievement Plan
Student loan management resources
Access to other educational opportunities
Backup care
DACA reimbursement
Company
Starbucks
Starbucks is a restaurant chain that serves handcrafted ready-to-drink beverages, including coffee, tea, juices, and snack food items.
10001+ employees
H1B Sponsorship
Starbucks has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (208)
2024 (127)
2023 (130)
2022 (172)
2021 (146)
2020 (149)
Funding
Current Stage
Public CompanyTotal Funding
$2.65BKey Investors
Elliott Management Corp.Pershing Square Capital Management
2025-05-06Post Ipo Debt· $1.75B
2024-07-19Post Ipo Equity
2018-10-10Post Ipo Equity· $900M
Leadership Team
Brian R. Niccol
Chairman and Chief Executive Officer
Cathy R. Smith
CFO
Recent News
Morningstar.com
2026-01-23
2026-01-23
Company data provided by crunchbase