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Staff Software Engineer- DevOps and Machine Learning - job 13 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's Technology Organization as a Staff Software Engineer specializing in DevOps and Machine Learning, where you'll become part of a dynamic team reshaping the future of commerce. In the heart of Foster City, you'll dive into complex distributed systems, honing your talents in crafting powerful payment solutions that impact over 40% of the global population. Your role will not only involve designing innovative software systems that meet high standards of scalability, security, and reusability but also collaborating with multi-functional teams to develop cutting-edge technologies. You'll have the chance to leverage AI and machine learning to build next-gen payment services and ensure seamless integration into Visa’s extensive network. Picture yourself enhancing user experiences across e-commerce platforms, establishing frameworks that monitor machine learning models, and architecting CI/CD solutions for streamlined deployments. We’re looking for passionate engineers who thrive on tackling global challenges and drive continuous improvement in our offerings. Together, we’ll redefine digital monetary transactions while expanding your skills in a supportive and growth-driven environment. Bring your energy, curiosity, and collaborative spirit to a company that values innovation and mentorship. Your journey into the future of finance starts here at Visa!

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- DevOps and Machine Learning at Visa?

As a Staff Software Engineer- DevOps and Machine Learning at Visa, you'll design, build, and test software products that enhance payment technologies. You'll collaborate across teams to ensure scalability, security, and usability, actively contributing to improvements in product quality. You'll develop robust CI/CD pipelines, manage AI model lifecycles, and support the deployment and integration of machine learning models. Your role will also involve analyzing performance metrics and refining systems to improve user experiences.

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What qualifications do I need to apply for the Staff Software Engineer- DevOps and Machine Learning position at Visa?

To apply for the Staff Software Engineer- DevOps and Machine Learning position at Visa, you should possess a solid background in programming languages such as Java, C#, or C++. You should demonstrate experience in building scalable services and web applications while having a growth mindset and the ability to problem-solve on a global scale. Additionally, familiarity with DevOps practices, cloud technologies, and collaborative project frameworks like Agile would be advantageous.

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How does Visa support career development for Staff Software Engineers?

Visa is committed to fostering growth for its Staff Software Engineers by offering numerous mentorship opportunities, ongoing training, and access to cutting-edge technologies. Employees can engage in workshops, collaborative projects, and knowledge-sharing sessions, emphasizing a culture of continuous learning and professional development tailored to individual career paths.

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What is the work environment like for a Staff Software Engineer- DevOps and Machine Learning at Visa?

At Visa, the work environment for a Staff Software Engineer- DevOps and Machine Learning combines flexibility with collaborative spirit, offering a hybrid work model that balances remote and in-office work. This approach encourages teamwork and innovation while allowing you to manage your work-life balance effectively. You'll join a diverse team of tech enthusiasts driven by a commitment to creativity and problem-solving in a rapidly-changing industry.

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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- DevOps and Machine Learning at Visa, you'll work with a variety of innovative technologies, including Java, HTML, AI/Machine Learning frameworks, Kubernetes, Docker, and various continuous integration and deployment tools. Your work will focus on implementing solutions that enhance processing networks, payment systems, and machine learning model management, ensuring that you stay at the forefront of technology.

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Common Interview Questions for Staff Software Engineer- DevOps and Machine Learning
Can you describe a challenging project you've worked on as a software engineer?

When answering this question, focus on a specific project where you faced significant challenges. Discuss the problem, the approach you took to solve it, and the technologies you used. Highlight your role, teamwork, and how the experience has contributed to your growth. Make it relatable to the work you would do at Visa.

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How do you ensure the scalability and security of your software systems?

To effectively respond, you should outline strategies you implement for scalability, such as load testing, efficient database design, and code optimization. Mention security practices like secure coding standards and regular vulnerability assessments. Tailor your examples to align with Visa’s need for robust systems handling a vast number of transactions.

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Describe your experience with continuous integration and continuous deployment (CI/CD) pipelines.

Elaborate on your experience setting up and maintaining CI/CD pipelines. Discuss tools you've used (e.g., Jenkins, GitLab), the challenges faced, and the benefits achieved such as rapid deployment and reduced bug frequency. Relate it back to the kind of CI/CD solutions Visa might be using.

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How do you approach debugging and troubleshooting issues in your code?

Discuss your systematic approach to debugging, utilizing tools for error tracking and analysis. Share an example showing how you've identified and resolved a critical issue in a project. Include how your process relates to the expectations of a Staff Software Engineer role at Visa.

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What is your experience with machine learning integration into software systems?

Share past experiences where you've integrated machine learning models into applications. Highlight specific projects that involved model selection, training, and deployment. Focus on the importance of monitoring and maintaining model performance, as these are crucial aspects at Visa.

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Can you explain a time you made a significant improvement in an existing system?

Focus on a specific improvement you implemented, detailing its impact. Discuss your thought process, the actions you took, and the results. Ensure you connect it to how you strive for continuous improvements, a core value at Visa.

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How do you stay current with new technologies and practices in software engineering?

Demonstrate your commitment to ongoing learning by sharing your strategies, such as following tech blogs, attending workshops, or participating in forums. Mention particular technologies relevant to the Staff Software Engineer role at Visa that you’re eager to learn more about.

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What role do you think collaboration plays in software development?

Discuss how effective collaboration leads to better problem-solving and innovation in software development. Highlight examples that demonstrate your collaborative efforts in previous projects, especially within agile teams. Emphasize Visa’s culture of teamwork.

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How do you prioritize your work when managing multiple tasks or projects?

Explain your prioritization strategies, which may include assessing urgency and importance, using project management tools, or collaborating with teams for insights. Relate it back to how this aligns with Visa's objectives for efficient project deliveries.

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What do you hope to achieve in your first six months at Visa?

Share specific, achievable goals that reflect your understanding of the position’s responsibilities and Visa’s mission. This could include immediate learning objectives, team integrations, or contributions to ongoing projects, emphasizing a proactive mindset.

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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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