Sr. SW Engineer - AIOPS Developer - IRE

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

• 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, syslogs, 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 Senior Software Engineer, a highly motivated senior individual contributor based in Singapore, responsible for 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 Analyst who has the passion to solve problems, factor old codes, learn and pick up new technologies like generative AI, chatops. The role will also be required to lead implementations on key modules and mentor junior team members.
  Responsibilities:

• Have the passion in developing and supporting the growth of the next generation software architectures and inspire innovation within the team
• Develop scalable real-time low-latency Artificial Intelligence processing solutions in an agile delivery method
• Lead and guide the team in AI design, code and implement new algorithms to solve complex problems
• Develop AIOPS solutions using available tools and technologies and assist the global team in problem resolution by hands-on participation.
• Engage technical workshops with cross-vertical Technology partners for cross-vertical integration in software development.

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
• 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience


Preferred Qualifications


• At least 2+ years of working experience in the IT industry with advanced web development experience in Java and Spring boot with Machine Learning and Artificial Intelligence in IT operations using data analytics theory and application.
• 2+ years of hands-on experience in development of applications using AIOPS technologies like generative AI, chatops AI, NLP models etc.
• Solid knowledge of at least one or more programming language: Golang, Java, C#, python or NodeJS, Angular, html
• 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 Checkmark, Clair, SonarQube, Blackduck, Appcheck.
• Excellent articulation, communication, interpersonal and collaboration skills are required.
• Excellent time management, organization and planning skills are essential.
• At least 2 years of working experience with defining system architecture and design patterns.
• At least 2 year of designing systems for greenfield engineering projects from ground up.
• Good to have 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.
• 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.

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.