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Staff Software Engineer- DevOps and Machine Learning - job 14 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

Visa is on the hunt for a driven Staff Software Engineer specializing in DevOps and Machine Learning to join our dynamic team in Foster City. As part of Visa’s Technology Organization, you’ll engage with some of the brightest minds in creating innovative financial technology solutions that empower billions of transactions globally. You will play an instrumental role in designing software that not only reaches a large audience but also drives the development of secure and scalable payment systems. Working in a collaborative and agile environment, you'll dive into projects that aim to redefine digital transactions while leveraging cutting-edge technologies and frameworks such as Kubernetes, Docker, and CI/CD pipelines. Here at Visa, we believe in fostering a culture that encourages exploration and growth—you’ll not only enhance your technical capabilities but will also contribute to cutting-edge solutions addressing diverse customer needs, from businesses to government solutions. Your impact will resonate through robust system design and implementation strategies, ensuring the reliability and efficiency of our innovative services. Come transform the future of commerce with us, where your creativity and expertise will drive impactful change while enjoying a balance of remote and office work.

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

As a Staff Software Engineer at Visa, your primary responsibilities include designing scalable, secure systems to meet the global payment needs, collaborating with cross-functional teams to enhance user experiences, and leading the development of innovative AI/ML models. You'll also automate workflows, establish monitoring systems, and streamline Continuous Delivery solutions for efficient CI/CD pipelines.

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What qualifications are needed for the Staff Software Engineer position at Visa?

Candidates should possess expertise in programming languages like Java or C++, experience with modern web applications, and a solid understanding of modern DevOps practices. A background in building scalable systems, collaborating within agile teams, and an eagerness to explore new technologies are also essential for success in this role.

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How does Visa support continuous learning and development for Staff Software Engineers?

Visa places a strong emphasis on mentorship and growth opportunities. As a Staff Software Engineer, you will have access to training programs and initiatives that encourage hands-on learning. The collaborative atmosphere will provide numerous opportunities to learn from peers and lead complex projects in a supportive environment.

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What technical skills are most important for a Staff Software Engineer in DevOps at Visa?

Key technical skills include proficiency in programming languages like Java, C++, and knowledge of containerization technologies such as Docker and Kubernetes. Familiarity with automation tools for CI/CD pipelines and an understanding of AI/ML frameworks will also greatly benefit your contributions at Visa.

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What is Visa's work culture like for Staff Software Engineers?

Visa cultivates a progressive and inclusive work culture that encourages innovation and collaboration. The team thrives on a growth mindset, supports each other’s development, and promotes a hybrid work flexibility to balance remote and on-site collaboration effectively.

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Common Interview Questions for Staff Software Engineer- DevOps and Machine Learning
Can you describe your experience with CI/CD pipeline setup and management?

When answering this question, focus on any CI/CD tools you have used like Jenkins or GitLab CI, discuss how you set up automated pipelines, and share experiences where your contributions improved deployment processes.

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How do you approach debugging complex code in a distributed system?

Discuss your methodical approach to debugging—starting with problem isolation, using logging and monitoring tools, and collaborating with teammates for insight. Highlight any specific tools you are proficient with that assist in this process.

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What role does collaboration play in your work as a Software Engineer?

Highlight the importance of communication and teamwork in successful project delivery. Provide examples of how you have worked with cross-functional teams and the impact this had on project outcomes.

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Describe a challenging technical problem you've solved in the past.

Narrate a specific instance where you encountered a tough engineering challenge, how you researched and analyzed it, and the creative solution you developed or implemented. Focus on the skills used and the outcome.

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What are your strategies for optimizing performance in applications?

Discuss approaches like profiling applications to identify bottlenecks, leveraging caching strategies, and applying best coding practices. Provide examples of optimizations you’ve implemented successfully.

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How do you ensure the security of the systems you develop?

Focus on secure coding practices, regular security assessments, and any frameworks or tools you use for vulnerability scanning. Mention any experience with industry compliance standards.

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What is your experience with machine learning model lifecycle management?

Talk about your familiarity with managing model lifecycle aspects like version control, retraining, and data management processes. Share examples of how you've implemented these in your past roles.

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How do you stay updated with the latest technologies and trends in software engineering?

Mention specific resources like blogs, courses, or conferences you follow. Discuss how you implement new learnings into your projects or share them with your team.

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What techniques do you use for effective code reviews?

Talk about your approach to code reviews—emphasizing constructive feedback, discussing coding standards, and promoting learning opportunities for the team. Provide examples of how this leads to improved code quality.

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How have you successfully led a project or initiative in your previous positions?

Share an example where you took on leadership duties, the objectives you set, how you guided the team, and the end results. Highlight your project management skills and teamwork approach.

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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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