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Staff Software Engineer- DevOps and Machine Learning - job 20 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

$125000 / YEARLY (est.)
min
max
$100000K
$150000K

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 as a Staff Software Engineer specializing in DevOps and Machine Learning, where you'll play a pivotal role in shaping the future of commerce! At our Foster City location, Visa's Technology Organization is filled with innovators and problem solvers, committed to handling over 65,000 secure transactions every second across a vast network of 80 million merchants and more than 15,000 financial institutions. Here, you will dive into the world of complex distributed systems, tackling large-scale challenges related to new payment flows, business solutions, and state-of-the-art cyber security measures. We're on the lookout for versatile and energetic engineers who enjoy collaborative problem-solving on a global scale. In this role, you'll design and build software solutions that impact nearly 40% of the world's population. Your journey at Visa will also involve creating cutting-edge payment technologies and services while working in diverse agile teams committed to product quality and innovative solutions. You will use your programming prowess in languages like Java, C++, and more, and will have the opportunity to significantly influence Visa's standards for scalability and security. You can also expect to foster mentorship while continuously learning in an environment that encourages growth. As a Staff Software Engineer, you’ll craft the tools that facilitate seamless transactions and improve the digital economy for individuals and businesses around the globe. If you're ready to take on huge challenges and push the boundaries of technology, we can’t wait to see what you’ll bring to the Visa team!

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

At Visa, a Staff Software Engineer specializing in DevOps and Machine Learning is responsible for designing, building, and testing sophisticated software systems that process an unprecedented volume of transactions daily. This role involves collaborating with multidisciplinary teams to develop best-in-class technology solutions while ensuring product quality and scalability. Furthermore, engineers will play a vital role in establishing comprehensive monitoring systems for AI models and automating workflows, thereby enhancing the overall efficiency of Visa's services.

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What qualifications are required for a Staff Software Engineer position at Visa?

To become a Staff Software Engineer in DevOps and Machine Learning at Visa, candidates should have expertise in programming languages such as Java, C++, and familiarity with tools like Kubernetes and Docker. Experience in building scalable web applications and a keen understanding of CI/CD pipeline processes are essential. A strong analytical mindset and the ability to tackle complex challenges while collaborating with various teams will also contribute to success in this role.

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What coding languages should I be proficient in as a Staff Software Engineer at Visa?

As a Staff Software Engineer at Visa, proficiency in general development languages such as Java, C#, and C++ is highly beneficial. Familiarity with modern web technologies and frameworks like Angular and React can also be advantageous. Additionally, understanding DevOps practices and continuous integration/deployment processes are crucial for creating efficient and scalable software solutions for Visa's vast customer base.

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What opportunities for career growth exist for a Staff Software Engineer at Visa?

At Visa, a Staff Software Engineer specializing in DevOps and Machine Learning has numerous opportunities for career growth. With mentorship programs and access to cutting-edge technologies, engineers can continually learn and develop their skills. This role also allows professionals to lead impactful projects that shape the digital future of commerce, positioning them for advanced leadership roles within Visa's innovative technology landscape.

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Is this a remote position for a Staff Software Engineer at Visa?

Visa offers a hybrid work model for the Staff Software Engineer position, allowing employees to alternate between remote work and office presence. Employees are typically expected to work from the office 2-3 days a week based on leadership's guidance, promoting collaborative team efforts while enjoying the flexibility of remote work as needed.

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

In preparing for your interview, focus on detailing your hands-on experience with continuous integration and deployment practices. Discuss any specific tools you've used, like Jenkins or GitLab CI, as well as challenges you faced and how you overcame them. Illustrate your ability to automate testing and streamline processes to improve deployment frequency.

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How do you ensure the scalability of an application?

When answering this question, provide insights into design patterns you've implemented, such as microservices architecture or load balancing. Discuss how you've used performance testing and monitoring tools to identify bottlenecks and make data-driven decisions to optimize scalability.

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What strategies do you use for debugging complex systems?

Highlight your systematic approach to debugging. Include your experience using debugging tools and your method for isolating issues—this could involve replicating bugs, analyzing logs, or implementing tracing. Share examples of specific challenges you've resolved under tight deadlines.

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How do you stay current with technological advancements in software engineering?

Emphasize your commitment to learning by discussing resources you follow, such as industry blogs, online courses, or coding communities. Mention any recent technologies or frameworks you've had hands-on experience with and how they've impacted your projects.

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Describe a project where you had to collaborate with cross-functional teams.

Prepare a specific example that showcases your teamwork skills. Detail your role, the challenges faced during collaboration, and how you effectively communicated with teams such as Product Management, Design, or Quality Assurance to deliver the project successfully.

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What AI/ML techniques are you familiar with?

Discuss your knowledge of various AI and machine learning algorithms, libraries, and tools such as TensorFlow or PyTorch. Be prepared to mention specific projects where you applied these techniques, along with how you measured model effectiveness.

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How have you contributed to improving product quality in previous roles?

Provide concrete examples of how you identified quality issues and implemented processes or tools to enhance product quality. This might involve code reviews, automated testing, or adopting a test-driven development approach.

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Can you explain your experience with cloud technologies?

Talk about your experience with cloud platforms like AWS, Azure, or Google Cloud Platform. Detail how you've leveraged these platforms to deploy applications, manage infrastructure, or ensure high availability for services.

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How do you approach mentoring junior developers?

Illustrate your mentorship style—talk about how you provide guidance, encourage independent problem-solving, and foster an environment for knowledge sharing. Include specific examples of how you've helped others grow in their roles.

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What steps do you take to ensure security in your applications?

Discuss the practices you follow to integrate security into your development process, such as conducting code reviews, employing security testing tools, and adhering to best practices like secure coding guidelines. Share examples of how you proactively defended against vulnerabilities.

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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 2, 2025

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