Sr Manager- Data
Sr Manager- Data
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Job Description
- Design & implement Visa AI as Services to automate various data & feature pipelines to improve reliability of AI/ML models and data quality.
- Design & implement scalable performance engineering and benchmarking platform for individual services or E2E flows for Visa AI as Services.
- Design & implement resilient and high availability state of art infrastructure to support high throughput with submilliseconds SLA for Visa transactions.
- Drive technical standard and best practices and continuously improve Visa AI as Services engineering scalability.
- Understand business problems to design build and oversee the deployment and operation of technology architecture solutions and software to utilize structured and unstructured data.
- Establish processes automations structure and big data systems based on business and technical requirement.
- Architect and Develop software solutions that automate the release cycle from code checkin to deployment focus on eliminating wait times manual handoffs and automating as much as possible in order to improve the overall efficiency and reliability of AI Platform release and deployment processes.
- Design and implement Continuous Integration and Test Automation tools and frameworks that are critical in ensuring delivery of products with the highest levels of quality and reliability.
- Understand how the software solutions work from a functional standpoint through verifying that the code solution meets quality standards as well as functional requirements.
- Troubleshoot user issues in large distributed systems with complex usage scenarios.
- Identify proper service metrics and measurements for ensuring performance against Service Level Agreements
- Collaborate with stakeholders (Business owners Architects Analysts Developers Project Managers and others) in the creation of solutions for complex problems.
- Improve Agile Development practices.
- Cultivate a culture of innovation and collaboration in the team.
This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.
Qualifications :
Basic Qualifications
8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters MBA JD MD) or 2 years of work experience with a PhD
Preferred Qualifications
9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters MBA JD MD) or 3 or more years of experience with a PhD
BS/MS in Computer Science Computer Engineering or related field.
Expert in at least one of the following Golang Java Python or C/C
Experience with web service standards and related patterns (REST gRPC)
Extensive experience automating system tasks and infrastructure using a language and
infrastructure orchestration tools.
Experience in automating at least one cloud deployments (aws gcp azure private dc)
Experience with AI machine learning/deep learning tensorflow pytorch python/cython triton etc.
Experience with Big Data technologies (ambari zk kafka hadoop)
Experience with distributed caching technologies like Redis
Experience with Service Mesh
Experience with Agile and Test Driven Development methodology
Deep understanding of the Software Development Life Cycle including Continuous Integration and
Continuous Deployment (CI/CD) pipeline architecture.
Experience with Docker & Kubernetes.
Experience with developing microservicebased HTTP applications and servers
Experience with security tools and best practices
Experience performing full stack load testing in order to identify and address hardware network
system or application bottlenecks
Strong analytical skills able to work independently to solve complex engineering problems. Make
independent judgments/decisions within established guidelines
Communicate well with others both verbally and in writing and be able to effectively interact with
peers management and other outside contacts
The ability to gather and understand business requirements translate them into
technical/operational requirements
High degree of initiative and sense of urgency comfortable with ambiguity as needs change on a
regular basis
Prior knowledge of Payments and Machine Learning applications desirable.
Additional Information :
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.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
