SW Engineer - Full stack Developer
SW Engineer - Full stack Developer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Cybersecurity Product Security Engineering team prides itself in keeping Visa systems up and secure catering to the 24*7 needs of the business. The team uses Java Angular Python AI/ML in building new age solutions that helps Visa Products more secure and provide proactive security measures. Assoc Cybersecurity Engineer a highly motivated experienced individual contributor responsible for innovative planning designing developing effective solutions in accordance with industry standards on best web development practices. As part of the team you will be required to own key modules perform code reviews design reviews and suggest best practices implement design and development standards. The role is a consultant who has the passion to solve problems factor old codes learn and pick up new technologies like generative AI LLM Onprem/Cloud models. The role will also be required to lead implementations on key modules.
Qualifications :
1 or more years of work experience with a Bachelors Degree or more than 2
years of work experience with an Advanced Degree (e.g. Masters MBA JMD)
Bachelor degree in a technical field such as computer science computer
engineering or related field required. Advanced degree preferred.
Minimum of 3 years of handson expertise with Java Spring Python and
related technologies
Experience in Gen AI Big data and UI technologies will be an added advantage
Experience with highly distributed scalable concurrent and low latency
systems working with one or more of the following database technologies:
DB2 MySQL and NoSQL data warehouses such as HBase.
Experience working in an Agile and TestDriven Development environment.
Experience with Continuous Integration and Automated Test tools such as
Jenkins Artifactory Git Selenium Chef desirable.
Strategic thinker and good business acumen to orient data engineering to the
business needs of internal clients.
Demonstrated intellectual and analytical rigor strong attention to detail team
oriented energetic collaborative diplomatic and flexible style.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
