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 AI/ML - Senior Engineering Manager Observability, MLPT - Santa Clara, California, United States

   
Job information
Posted by: Apple 
Hiring entity type: Retail 
Work authorization: Not Specified for United States
Position type: Direct Hire, Full-Time 
Compensation: ******
Benefits: See below
Relocation: Not specified 
Position functions: Computers - Programming Languages
Computers - Platforms
Computers - Networks
Computers - Software Engineer
 
Travel: Unspecified 
Accept candidates: from anywhere 
Languages: English - Fluent
 
Minimum education: See below 
Minimum years experience: See below 
Resumes accepted in: English
Cover letter: No cover letter requested
Job code: 200303413 / Latpro-3839424 
Date posted: Nov-30-2021
State, Zip: California, 95050

Description

AI/ML - Senior Engineering Manager Observability, MLPT

Santa Clara , California , United States

Machine Learning and AI

Summary

Posted: Oct 27, 2021

Weekly Hours: 40

Role Number: 200303413

As a Senior Engineering Manager, you will help define the Observability practice at Apple within Machine Learning Platform Technology, AI/ML and beyond. You will be responsible to build the team and define the program. The Observability team will be responsible for providing tools, frameworks and guidelines to understand our customer experience. Not limited to the behavior of the features, services and infrastructure in our environments. As our application and systems become more sophisticated, our user experience becomes paramount. The focus of this engineering team is observability, which is defined by collecting signal from the client and server and composing a comprehensive tapestry of true user experience. We are building a world class system integration with Siri and our AI/ML stack that is complicated to measure and we will be focussed on deep diving this intricacy for our business partners and developers. The team will be responsible for measuring and identifying areas of engineering focus. We are looking for a seasoned leader who can move between engineering lead to cross functional seer who can identify gaps and bring together teams to focus on improving customer experience and driving results.

Key Qualifications

  • 8+ years of engineering management/leadership experience
  • Prior production large scale experience in Observability Engineering, Telemetry and Metrics platforms
  • Experience with cloud computing services (AWS, GCP) and Kubernetes based deployments
  • Experience with Modern Observability tooling (Prometheus, DataDog, Splunk, Jaeger, Grafana, etc)
  • Track record of cross functional leadership fostering good engineering practices, respect at all levels and inclusivity
  • Proven experience of mentoring and coaching and having a people focussed mindset
  • Experience building, supporting, and maintaining full stack deployments
  • Experience working with and leading globally dispersed teams
  • Strong experience with large complex data ecosystems
  • Proven track record of understanding what matters in a customer experience and able to make hard calls on what technology to pursue

Description

Responsibilities Include: Leading the Observability program in partnership with AI/ML Leaders Defining and driving the Observability roadmap and work across the organization and across functions to deliver quality customer experiences Leading Infrastructure projects that improve Observability tools and platforms: metrics, dashboards, alerting, logging, application performance management, blackbox monitoring, distributed tracing Collaborating with various technical teams to incorporate strong reliability and observability practices in our development life cycle, and mitigate risks to our availability Working with Engineering teams to instrument code to provide rich telemetry and help identify visibility gaps Cultivating positive relationships with executives and peers across the organization to ensure alignment and delivery of a holistic end-to-end user experience Developing tools, dashboards, alerts, and training that quickly arm developers with deeper insights into application performance and service health issues Presenting service performance metrics in executive level review meetings and discuss ongoing efforts to further improve system utilization, customer experience, and engineering efficiency Helping to identify opportunities for improving the processes and culture of the engineering organization across Apple Identifying staffing needs, recruit for, and mentor new and existing engineers

Education & Experience

Bachelor's degree in Computer Science, Electrical Engineering or equivalent software engineering experience

Additional Requirements

  • Apple's most important resource, our soul, is our people. Apple benefits help further the well-being of our employees and their families in meaningful ways. No matter where you work at Apple, you can take advantage of our health and wellness resources and time-away programs. We're proud to provide stock grants to employees at all levels of the company, and we also give employees the option to buy Apple stock at a discount - both offer everyone at Apple the chance to share in the company's success. You'll discover many more benefits of working at Apple, such as programs that match your charitable contributions, reimburse you for continuing your education and give you special employee pricing on Apple products. Apple benefits programs vary by country and are subject to eligibility requirements. Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace.





Requirements

See job description

 

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