We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. While building components of powerful payment technology, you will get to see your efforts shaping the digital future of monetary transactions.
The Work itself:
- Design code and systems that touch 40% of the world population while influencing Visa's internal standards for scalability, security, and reusability
- Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings
- Actively contribute to product quality improvements, valuable service technology, and new business flows in diverse agile squads
- Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities
- This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
Essential Functions:
- Design, build and manage data ingestion pipelines using multiple technology technical stack including OpenSearch, Kafka, and Druid using open-source packages.
- Design and Build Application in Dockers and Kubernetes
- Develop and Build Python Based application for Automation and Task management.
- Ensure data integrity, quality, and security throughout the data lifecycle end-to-end in open-source platform.
- Build multiple data pipelines to ingest unstructured data in real time for advance data analytics.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
- We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn't work with payments technology or web applications before joining Visa.
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
Qualifications
Basic Qualifications:
- 10+ years of relevant work experience with a Bachelor's Degree or at least 7 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 years of work experience with PhD.
Preferred Qualifications:
- 10+ 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
- Strong problem-solving skills with attention to detail.
- Excellent Communication and Collaboration skills.
- Experience with Cloud-based Data Engineering solutions is preferred.
- Experience with Big Data Technologies such as Hadoop, Kafka and Spark are preferred
- Knowledge in Generative AI or Generative AI tools is preferred.
The Skills You Bring:
- Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale
- Challenge the Status Quo: Comfort in pushing the boundaries, hacking beyond traditional solutions
Technology Expertise:
- 2+ years of experience in OpenSearch/Elastic Search (required)
- 7+ years of experience in Apache Kafka, Apache Spark, Apache Hadoop (required).
- 5+ years of experience in Docker and Kubernetes (highly preferred).
- 10+ years of experience in Python & JAVA/J2EE Programming and Shell scripting (required).
- 5+ years of experience in Cloud Applications (highly preferred).
Builder: Experience building and deploying modern services and web applications with quality and scalability
Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc.
Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams
