drjobs Principal Data Engineer - AI Systems Performance Engineering

Principal Data Engineer - AI Systems Performance Engineering

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1 Vacancy
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Job Location drjobs

Austin - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Visa AI as a Service (VAIaS) operationalizes the delivery of AI and decision intelligence to ensure their ongoing business values. Built with composable AI capabilities privacyenhancing computation and cloud native platforms VAIaS automates the updates to data models and applications. Combined with strong AI governance VAIaS optimizes the performance scalability interpretability and reliability of AI models and services. If you want to be in the exciting payment and AI space learn fast and make big impacts Visa AI as a Service is an ideal place for you!

This position is for a Principal Data Engineer with solid development experience who will contribute to both strategic and tactic planning and execution to continuously advance AI Platforms vision and mission. In this position you are first a passionate and hardworking data engineer and system architect that can work in a multifaceted environment as a member of Agile Scrum teams.

You will be an integral part of the leadership team setting up technical roadmap introducing the latest machine learning and system technology to the team working with development managers and teams to identify and resolve technical challenges and working with different products and data science teams to streamline the feature request and model onboarding.

This position will be based in Austin TX and reporting to Head of Visa AI as a Service. If this sounds exciting we want to chat and tell you more about our work culture and environment and see if this will be a good fit for both of us.

Essential Functions:

  • Collaborate with project teams data science teams and development teams to drive the technical roadmap and guide development and implementation of new data driven business solutions.

  • Drive technical standard and best practices and continuously improve AI Platform Engineering scalability.

  • Responsible for finetuning largescale computing systems performance benchmarking load testing and developing metrics instrumentation.

  • Architecture and design of AI Platform services including Machine Learning Engines In Memory Computing Systems Streaming Computing Systems Distributed Data Systems and etc in Java Go Rust or C.

  • Coordinate the implementation among development teams to ensure system performance security scalability and availability.

  • Coaching and mentoring junior team members and evolving team talent pipeline.

This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.


Qualifications :

Basic Qualifications:

  • 12 or more years of work experience with a Bachelors Degree or at least 10 years of work experience with an Advanced degree (e.g. Masters/MBA /JD/MD) or a minimum of 5 years of work experience with a PhD.

Preferred Qualifications:

  • 15 or more years of experience with a Bachelors Degree or 12 years of experience with an Advanced Degree (e.g. Masters MBA JD or MD) PhD with 9 years of experience.
  • Experience with Java Go Rust or C.
  • Expert in developing largescale enterpriseclass data pipelines data processing systems and/or distributed systems or subsystems that require high availability lowlatency and strong data consistency computing.
  • Authority in architecting solutions with Continuous Integration and Continuous Delivery in mind.
  • Expert in distributed inmemory computing technologies like Redis.
  • Proven experience with performance engineering and finetuning largescale data processing systems highly preferred.
  • Open to experience with systems profiling and diagnostics using tools like perf eBPF vmstat or iostat highly preferred.
  • Experience with performance benchmarking and load testing including designing tests using load tools and interpreting results for capacity and regressions highly preferred.
  • Experience developing proper metrics instrumentation in software components to help facilitate realtime and remote problem solving /performance monitoring.
  • Knowledge of containerization and orchestration tools like Docker and Kubernetes.


Additional Information :

Work Hours: Varies upon the needs of the department.

Travel Requirements: This position requires travel 510% of the time.

Mental/Physical Requirements: This position will be performed in an office setting.  The position will require the incumbent to sit and stand at a desk communicate in person and by telephone frequently operate standard office equipment such as telephones and computers.

Visa is an EEO Employer.  Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status.  Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is $193700.00 to $281100.00 USD per year which may include potential sales incentive payments (if applicable). Salary may vary depending on jobrelated factors which may include knowledge skills experience and location. In addition this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical Dental Vision 401 (k) FSA/HSA Life Insurance Paid Time Off and Wellness Program.


Remote Work :

No


Employment Type :

Fulltime

Employment Type

Full-time

Company Industry

About Company

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