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    machine learning engineer lead - Seattle, WA, United States - Starbucks

    Starbucks
    Starbucks Seattle, WA, United States

    Found in: Jooble US O C2 - 2 days ago

    Starbucks background
    Description

    At Starbucks, our mission is to inspire and nurture the human spirit – one person, one cup, and one neighborhood at a time. Starbucks Technologists work to achieve this mission through the use of cutting-edge technology delivered to our partners, customers, stores, roasters, and global communities.

    This job contributes to Starbucks success by delivering high-quality, reliable, and stable technologies and security capabilities in support of the Starbucks Engineering Platform. This position is accountable for the installation, configuration, monitoring, analysis, maintenance, and technical support of the platform. Models and acts in accordance with Starbucks guiding principles. Summary Of Key Responsibilities
    • Communicates highly complex ideas and concepts to non-technical peers and customers
    • Ability to establish cross-functional, collaborative relationships with business and technology partners
    • Support the development team and perform activities to resolve developer issues in a timely and accurate fashion
    • Engineer build and release processes
    • Ability to effectively manage and partner with technology vendors to deliver against business objectives
    • Conducts research and makes recommendations on standards, products, and services
    • Ensures application and infrastructure architectural solutions are stable, secure, and compliant with Company standards and practices
    • Implements all technologies in accordance with Information Security's guiding principles for highly sensitive data
    • Provide high-availability operational support and automate solutions across the environment
    • Implements deep telemetry capabilities to provide ongoing success and performance metrics
    • Implements service monitoring across all platforms to ensure continuous availability and operational continuity of critical systems
    • Upholds company policies, and legal/regulatory requirements, such as PCI
    • Implements and maintains system configurations and baselines to support secure application development software control best practices and standards
    Basic Qualifications Education (minimum education level, degree or certification necessary):
    • 8-10 years of professional industry experience with software development
    • Fundamentals of machine learning reflected by experience, degree, certification or combination thereof
    • 2 years of leading teams of four or more software developers
    • Bachelor's degree in Computer Science or related field
    Preferred Qualifications Skills (minimum skills required):
    • 7+ years of experience in system administration, network administration, and systems engineering
    • 7+ years of experience in one or more of the following languages: C, C++, Java, Python, Go, Perl and/or Ruby
    • 5+ years of experience with large-scale distributed systems and client-server architectures
    • 5+ years of experience developing and maintaining production machine learning solutions
    • 2+ years of experience with Spark and machine learning frameworks
    • Demonstrated ability to debug and optimize code, and automate routine tasks.
    • Interest in designing, analyzing and troubleshooting large-scale distributed systems.
    • Proven ability to translate insights into business recommendations
    • Deep Knowledge in application development and supporting a development environment
    • Experience with Cloud Computing platforms (e.g. Amazon AWS, Microsoft Azure, Google App Engine)
    • Deep Knowledge and understanding of relevant legal and regulatory requirements, such as SOX, PCI, HIPAA, Data Protection, etc.
    • Demonstrated experience implementing and managing high capacity, redundant, and mission critical environments
    • Knowledge in databases and comfortable with various databases technologies
    • Demonstrated interest in and hands-on exploration of generative AI
    • Proficiency in TCP/IP networking, architecture and core technologies ( DNS, routing, iptables, tc, etc.)
    • Experience running and maintaining a 24x7 production environment
    • Years of experience in specific field or utilizing designated skills (minimum needed to be qualified): 7+ years
    Job Attribute
    • Job Number:
    • Job Group: Professional
    • Job Family: Technology
    • Job Subfamily: Engineering
    • Job Location: United States
    • FLSA Status: Exempt
    All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We are committed to creating a diverse and welcoming workplace that includes partners with diverse backgrounds and experiences. We believe that enables us to better meet our mission and values while serving customers throughout our global communities. People of color, women, LGBTQIA+, veterans and persons with disabilities are encouraged to apply. Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal state and local ordinances. Starbucks Corporation is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at #J-18808-Ljbffr
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