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Staff Software Engineer- DevOps and Machine Learning - job 8 of 21

Visa’s Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world’s most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you’ll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms.     

The Opportunity: 

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 
  • Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions. 
  • Leverage innovative technologies to build the next generation of Payment Services, Transaction Platforms, Real-Time Payments, and Buy Now Pay Later Technology 
  • Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities 

Essential Functions:

  • Identifies and contributes to the development and solution strategies to team members that improve the design and functionality of interface features across one or more project features, under minimal guidance.
  • Applies standard processes on the use of programming languages (e.g. HTML, C++, Java) to write code that fulfills website modification requests and technical requirements. 
  • Collaborates with others to support the piloting of new technology capabilities and features that enhance the user website experience across e-commerce products.
  • Analyzes bugs for simple issues and applies debugging tools to verify assumptions.
  • Establish comprehensive monitoring systems for AI models, including performance degradation, data drift, and bias detection.
  • Establish a robust model lifecycle management framework, including version control, retraining schedules, and model retirement strategies.
  • Develop and implement automated workflows to streamline routine AI operations tasks, such as data pre-processing, model training, and performance evaluation.
  • Provide hands-on support and guidance to developers during the AI/ML model integration and deployment process on their workstations or CICD pipelines.
  • Architect, maintain, and streamline Continuous Delivery solutions for end-to-end CI/CD pipeline setup of one-click build deployments.
  • Automate testing and deploying releases to multiple environments.
  • Ensure continuous availability of applications, related integrations, and various tools supporting SCM & Release Management in all pre-production environments.
  • Maintain source control branches and perform integrations with merge conflicts.
  • Create Gen AI solutions to maintain documentation of the build/release process.
  • Investigate tools and processes to improve the reliability, stability, and efficiency of our services.
  • Lead the development and implementation of dashboard solutions/metrics for the group.
  • Conduct RRR (Release Readiness Review) and look for automation opportunities in the checklist.
  • Maintain Release and change compliance.

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
  • Language Expertise: Expertise in one or more general development languages (e.g., Java, C#, C++)
  • 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

**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.

Average salary estimate

$120000 / YEARLY (est.)
min
max
$100000K
$140000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Staff Software Engineer- DevOps and Machine Learning, Visa

Join Visa's innovative Technology Organization as a Staff Software Engineer specializing in DevOps and Machine Learning. Based in the vibrant city of Foster City, you'll be part of a community dedicated to reshaping commerce through technology. At Visa, we handle over 65,000 secure transactions per second, impacting billions of individuals around the globe. Your role will involve designing and developing systems that not only enhance transaction security but also improve user experiences. You'll collaborate with talented multi-functional teams to create state-of-the-art solutions for an array of customers, from everyday merchants to large financial institutions. With your diverse skill set and passion for technology, you'll tackle complex challenges, leveraging AI and machine learning to implement automated workflows, performance monitoring, and robust lifecycle management of models. The work is dynamic, offering a unique chance to influence the future of payments and services worldwide. As you continue honing your skills in programming languages like Java and C++, you'll also explore cutting-edge technologies like Kubernetes and Docker. Visa fosters a supportive environment that encourages mentorship and continuous learning, making this an exciting opportunity for someone looking to immerse themselves in the fast-paced world of tech. If you’re ready to combine your growth mindset with a desire for impactful work, we'd love to see you thrive in a hybrid role where you can alternate between remote work and our collaborative office space. This is your chance to truly make a difference as part of Visa!

Frequently Asked Questions (FAQs) for Staff Software Engineer- DevOps and Machine Learning Role at Visa
What are the main responsibilities of a Staff Software Engineer in DevOps and Machine Learning at Visa?

As a Staff Software Engineer specializing in DevOps and Machine Learning at Visa, your main responsibilities include designing and developing scalable systems that support complex payment solutions, collaborating with multi-functional teams to create innovative software solutions, and using languages like Java and C++ to write code that enhances website features. You'll also focus on automating workflows for AI operations and establishing performance monitoring for AI models to improve functionality and reliability.

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What qualifications are needed for a Staff Software Engineer in DevOps and Machine Learning at Visa?

To qualify for the Staff Software Engineer in DevOps and Machine Learning position at Visa, candidates should have a strong understanding of programming languages such as Java, C#, and C++. Additionally, experience with modern service deployment, automated testing, and agile methodologies is critical. A growth mindset, problem-solving skills, and a passion for learning new technologies like Kubernetes and Docker are also essential in this fast-paced environment.

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What skills will help me succeed as a Staff Software Engineer at Visa?

Success as a Staff Software Engineer at Visa hinges on various skills, including a strong foundation in programming languages and an ability to build and deploy scalable applications. A curiosity for new technologies, coupled with collaboration skills to work alongside different teams, is crucial. Moreover, a proactive approach to problem-solving and the willingness to challenge existing solutions will set you apart in this innovative environment.

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How does Visa support continuous learning for Staff Software Engineers?

Visa places a strong emphasis on continuous learning and provides various opportunities for Staff Software Engineers to enhance their skills. This includes mentorship programs, access to training in advanced technologies, and the chance to work on diverse projects that offer exposure to various aspects of the business. Employees are encouraged to pursue both personal and professional development to ensure they stay at the forefront of technology in the financial sector.

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What is the work culture like for a Staff Software Engineer at Visa?

The work culture at Visa fosters innovation, collaboration, and inclusivity. As a Staff Software Engineer focusing on DevOps and Machine Learning, you'll be part of a dynamic team dedicated to solving complex problems and making a global impact. With a blend of remote and in-office work, you'll benefit from a flexible environment while engaging with talented colleagues who value sharing knowledge and pushing the boundaries of technology.

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Common Interview Questions for Staff Software Engineer- DevOps and Machine Learning
Can you explain your experience with CI/CD pipelines as a Staff Software Engineer?

In your answer, highlight your practical experience with building and maintaining CI/CD pipelines. Discuss specific tools you've used, such as Jenkins or GitLab, and elaborate on how you've automated deployments and testing processes to improve efficiency and reduce errors.

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What strategies do you use for debugging complex software issues?

Discuss methods you employ for debugging, such as using logging frameworks or debugging tools. Provide an example where you diagnosed a tough issue and explain the steps you took to resolve it, emphasizing your analytical skills and persistence.

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How do you approach software design for scalability at Visa?

Speak about specific design patterns and architectures you prefer for scalable solutions, such as microservices or load balancing. Provide examples of past projects where these strategies were successfully implemented, and discuss how you ensure performance under varying loads.

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How do you keep up with advancements in AI and Machine Learning technologies?

Mention your methods for staying informed, such as following industry blogs, attending workshops, or taking online courses. Highlight any recent trends you've researched or technologies you've experimented with in your projects.

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What is your experience with automated testing, and why is it important?

Emphasize the importance of automated testing in ensuring software quality and rapid deployment. Discuss tools like Selenium or JUnit that you've used, along with an example where automated testing significantly improved release timelines.

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Can you provide an example of a successful project where you utilized agile methodologies?

Share a detailed example of a project where you applied agile practices. Discuss your role in sprint planning, stand-ups, and retrospectives, and explain how these practices resulted in a successful outcome.

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Describe your experience with cloud technologies in relation to DevOps.

Illustrate your familiarity with cloud platforms like AWS or Azure, focusing on how you utilized these services to enhance deployment processes, scalability, and monitoring in your past roles. Provide specific outcomes of using cloud technologies to support DevOps initiatives.

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How do you ensure compliance and security in your software development processes?

Talk about incorporating security best practices into the development lifecycle, including secure coding techniques and regular compliance checks. Share how you assess security risks and implement measures to mitigate them during software development.

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What challenges have you faced while working in a multi-functional team?

Reflect on your experiences and describe a challenge you encountered while collaborating with diverse teams. Discuss your approach to overcoming that challenge, including communication strategies or conflict resolution.

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What is your vision for the future of payments technology, and how do you see your role at Visa contributing to that vision?

Share your perspective on emerging trends in payments technology, such as blockchain or biometric verification, and discuss how your expertise as a Staff Software Engineer will help Visa lead these advancements. Emphasize your commitment to innovation and your eagerness to contribute meaningfully.

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Visa Inc. operates as a payments technology company worldwide. The company facilitates commerce through the transfer of value and information among consumers, merchants, financial institutions, businesses, strategic partners, and government entiti...

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Full-time, hybrid
DATE POSTED
April 3, 2025

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