Staff SW Engineer AIOPS developer
Staff SW Engineer AIOPS developer
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Job Description
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 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 staff software engineer 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:
- 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. Expectation of days in office will be confirmed by your Hiring Manager.
Qualifications :
Basic Qualifications
5 years of relevant work experience with a Bachelors 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
6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters MBA JD MD) or up to 3 years of relevant experience with a PhD
Bachelors 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.
5 years of hands-on experience in development of applications using Aiops technologies like generative AI chatops AI NLP models LLM Models advanced RAG AI agents agent orchestration Model quantization Langchain langgraph image screening web scrapping python ai tools 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.
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 :
Full-time
Employment Type
Full-time
