The Reliability Engineering Automation team prides itself in keeping Visa systems up and secure, catering to the 24*7 needs of the business. The team uses AI to aggregate observational data (from monitoring systems output, job logs, syslog, etc.) and data from ticketing, incident, and event management system data to produce a virtuous circle of continuous insights yielding continuous improvements and fixes The Staff Software Engineer, a highly motivated senior experienced individual contributor, responsible for innovative planning, designing and 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 and design AI architectural reviews, suggest best practices and implement design and development standards. The role is a senior consultant who has the passion to solve problems, factor old codes, learn and pick up new technologies like generative AI, chatops, LLM, Onprem models. Model QA. The role will also be required to lead implementations on key modules and mentor junior team members,
Responsibilities:
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.
Basic Qualifications
• 5+ years of relevant work experience with a Bachelor’s Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.
Preferred Qualifications
• Bachelor’s Degree or equivalent in the Computer Science, Computer Engineering, or Information Technology disciplines with strong fundamentals in software engineering.
• At least 5+ years of working experience in the IT industry with advanced web development experience with Machine Learning and Artificial Intelligence in IT operations using data analytics theory and application.
Technical Qualifications
• 5+ years of hands-on experience in development of applications using Aiops technologies like generative AI, chatops AI, NLP models etc.
• Solid executable knowledge of at least one or more programming language: Java, C#, python or NodeJS, Angular, Spring
• Explore, understand, and implement most recent Machine Learning algorithms and approaches for supervised and unsupervised machine learning and deep learning.
• Handle and process multi-terabyte data sets in scale-up and scale-out environments.
• Engage in full stack development from REST service to persistence adopting latest state-of-the-art technologies.
• Ability to design, develop and debug cloud applications. Ideally have some experience developing application on modern cloud platform.
• Create excellence both in terms of results, quality and system scalability through continuous evaluation, analysis, and refinement of the application implementation.
• Use AI and big data to identify opportunities and work with partner teams to improve systems availability and automate/optimize operations.
• Develop business cases for automation and partner with the relevant teams to implement them.
• Software engineering principles (preferably Agile/Scrum) and their application to the creation of self-healing infrastructure and applications.
• Good understanding of micro service architecture, Git and how to configure and deploy complex containerized applications
• Good understanding of any one or more security scanning tools like Checkmarx, Clair, SonarQube, Blackduck, Appcheck.
• Good to have at least one or more Cloud Platforms (Azure, AWS, GCP) is a strong plus.
• Good to have enterprise-level client-server web application development in Java/J2EE, C# and OOP.
• Good understanding of SSDLC, Agile methodologies. Agile development experience in a SCRUM environment is a strong plus.
• Excellent articulation, communication, interpersonal and collaboration skills are required with problem solving attitude and ready to adopt new challenges.
• Excellent time management, organization and planning skills are essential.
At least 5+ years of working experience with defining system architecture and design patterns.
At least 5+ years of designing systems for greenfield engineering projects from ground up.
Knowledge of content management concepts and systems will be advantageous.
Analytical skills to understand business requirements and to translate into technical specifications.
Problem solver with excellent skills in troubleshooting.
Ability to set priorities in a multi-tasking environment.
Ability to negotiate with both Technology and Business counterparts in terms of delivery scope and timelines that aligns with capacity of the delivery team.
Passion to learn and pick up new technologies as needs evolves.
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.
