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Staff Software Engineer- DevOps and Machine Learning - job 16 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

$130000 / YEARLY (est.)
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max
$100000K
$160000K

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

At Visa, we are thrilled to announce an exciting opportunity for a Staff Software Engineer specializing in DevOps and Machine Learning in our dynamic Foster City office. As part of Visa's Technology Organization, you will engage with a community of innovators dedicated to reshaping the future of commerce. Our processing networks handle more than 65,000 secure transactions per second, catering to over 80 million merchants globally. In this role, you'll collaborate with a versatile team to design, build, and test software products that influence monetary transactions for billions. Your work will involve developing robust systems impacting 40% of the world’s population, aiming for scalability and security while navigating complex challenges. Your responsibilities will span creating design artifacts, enhancing service technology, and developing innovative payment solutions using cutting-edge technologies. We value your growth mindset and eagerness to explore technologies like Kubernetes and Docker. We’re not just looking for someone who checks all the boxes; we're seeking passionate individuals excited to challenge the status quo and impact global commerce positively. Join us at Visa, where your skills can shape the digital future while collaborating in a hybrid work environment, alternating between in-person and remote work, fostering both team collaboration and personal flexibility.

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- DevOps and Machine Learning at Visa?

As a Staff Software Engineer focusing on DevOps and Machine Learning at Visa, you will design, build, and maintain complex software systems that support global payment solutions. You'll work within multi-functional teams to develop scalable systems that impact millions and engage in innovating payment technologies. Additionally, you will be responsible for architecting Continuous Delivery solutions, automating workflows, and enabling robust model lifecycle management for AI applications.

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What qualifications are required for the Staff Software Engineer- DevOps and Machine Learning position at Visa?

The qualifications for the Staff Software Engineer- DevOps and Machine Learning role at Visa include expertise in programming languages like Java, C++, and familiarity with tools such as Kubernetes and Docker. A growth mindset, comfort with complex systems, and experience in both DevOps and Agile practices are essential. While we value experience directly related to payments technology, we welcome candidates from diverse backgrounds who can demonstrate adaptability and a passion for learning.

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How does Visa support the professional growth of Staff Software Engineers in DevOps and Machine Learning?

Visa is committed to continuous learning and development for our Staff Software Engineers. We provide mentorship opportunities, access to new technologies, and collaborative environments that encourage you to challenge yourself and grow your skills. Our hybrid working model also supports work-life balance, allowing team members to maintain focus on professional development while contributing to impactful projects.

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What technologies will I work with as a Staff Software Engineer- DevOps and Machine Learning at Visa?

In the role of Staff Software Engineer focusing on DevOps and Machine Learning at Visa, you will work with innovative technologies including but not limited to AI/ML frameworks, CI/CD pipelines, Docker, Kubernetes, and various programming languages like Java and C++. Your role will involve implementing cutting-edge solutions for real-time payments and improving the performance of our digital transactions.

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What does the hybrid work model at Visa for the Staff Software Engineer- DevOps and Machine Learning role entail?

The hybrid work model at Visa allows Staff Software Engineers- DevOps and Machine Learning to alternate between remote work and time in the Foster City office. Team members are expected to be in the office 2-3 days a week, depending on leadership direction and business needs, ensuring a balance between collaborative in-person engagement and flexible remote work.

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Common Interview Questions for Staff Software Engineer- DevOps and Machine Learning
Can you explain your experience with Continuous Integration and Continuous Delivery in a DevOps context?

When answering this question, highlight your specific experiences setting up CI/CD pipelines, tools you've used like Jenkins or GitLab, and how you overcame challenges during deployment processes. Discuss how these experiences align with the responsibilities in the Staff Software Engineer role at Visa.

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Describe a time when you faced a technical challenge in a project. How did you overcome it?

Utilize the STAR method (Situation, Task, Action, Result) to structure your answer. Reflect on a specific instance, outlining the problem, the steps you took to resolve it, and the outcome. Relate your problem-solving approach to the complexities you might encounter at Visa.

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What programming languages are you most proficient in, and how have you applied them in your past roles?

Be prepared to list key programming languages such as Java, C++, and others relevant to the role. Discuss specific projects where you employed these languages to solve problems, focusing on aspects of scalability and performance—qualities essential for Visa's global transaction systems.

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How do you ensure the security of applications you develop?

Discuss methods you use for securing applications, such as secure coding practices, regular security audits, and utilizing current security frameworks. Relate your security practices to the high volume and sensitivity of financial transactions at Visa.

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What strategies do you employ for debugging and troubleshooting?

Give examples of debugging tools and practices you have used, such as logging, performance monitoring, or automated testing. Emphasize how these strategies will help ensure the reliability and stability of the systems you’ll work on at Visa.

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Can you explain how you have implemented AI/ML models in previous projects?

Detail your experiences with AI/ML implementations, particularly focusing on model lifecycle management, including training, evaluation, and monitoring. Discuss how these skills will be applicable in optimizing Visa’s AI-driven solutions.

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What role does collaboration play in your engineering practices?

Reflect on team projects where collaboration played a key role. Discuss how working with cross-functional teams can lead to better solutions—highlighting how Visa’s collaborative culture aligns with your work style.

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Describe your experience with Agile and Scrum methodologies.

Share specific examples of Agile project management in your past roles. Talk about how utilizing Agile can increase efficiency and adaptability, critical for Visa's fast-paced development environment.

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How do you stay updated with emerging technologies relevant to DevOps and Machine Learning?

Mention resources you utilize such as tech blogs, seminars, certification courses, or communities related to DevOps and Machine Learning. Show your commitment to lifelong learning that aligns with Visa’s innovation-driven environment.

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How would you approach designing a scalable system for a new Visa service?

Outline your approach, focusing on requirement gathering, system architecture, and considerations for scalability and security. Highlight your understanding of the global scale at which Visa operates, ensuring your response reflects the complexities involved.

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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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DATE POSTED
April 3, 2025

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