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Staff Software Engineer- DevOps and Machine Learning - job 10 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

$140000 / YEARLY (est.)
min
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$120000K
$160000K

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, and immerse yourself in a community dedicated to innovation and problem solving in the ever-evolving world of commerce. Located in the vibrant Foster City, you'll be at the forefront of developing technology that supports over 65,000 secure transactions per second across 80 million merchants and thousands of financial institutions. This role is perfect for versatile and curious engineers who thrive on complex challenges on a global scale. As part of a dynamic development team, you'll design, build, and test software that shapes the future of monetary transactions. Your work will touch nearly half the world's population, influencing Visa’s standards of scalability and security while collaborating to forge cutting-edge payment solutions. In this role, you’ll tackle everything from improving product quality in agile squads to developing robust AI monitoring systems and automating workflows that enhance our modern payment service infrastructure. You will not only contribute your technical expertise in various programming languages like Java and C++ but also engage in continuous learning opportunities. Whether you're mentoring your peers or spearheading innovative solutions for transaction platforms, your contributions will make a significant impact both locally and globally. Embrace this chance to advance your career and lead the charge into the exciting future of payment technology with Visa.

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

A Staff Software Engineer in DevOps and Machine Learning at Visa is responsible for designing and coding systems that can influence Visa's internal standards for scalability and security. This role involves collaborating across multifunctional teams to develop innovative software solutions that cater to a diverse customer base, ensuring the continuous availability of applications, and implementing robust monitoring systems for AI models, thereby shaping the future of technology in transactions.

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

For the Staff Software Engineer- DevOps and Machine Learning position at Visa, candidates should have strong expertise in general development languages such as Java, C++, or C#. Additionally, experience with deploying modern services and a passion for learning new technologies like Docker and Kubernetes are essential. A background in working with agile teams is also highly valued, as is a growth mindset that drives continuous improvement.

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What does the work environment look like for the Staff Software Engineer role at Visa?

The working environment for a Staff Software Engineer at Visa is hybrid, allowing employees to split their time between remote work and being in the office 2-3 days a week. Team members are encouraged to embrace flexibility while maintaining robust collaboration and communication with colleagues, facilitating a productive and innovative atmosphere that drives technological development.

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What are the opportunities for career advancement as a Staff Software Engineer in DevOps and Machine Learning at Visa?

Visa offers a wealth of opportunities for career advancement for a Staff Software Engineer in DevOps and Machine Learning. Employees can explore mentorship programs, ongoing learning initiatives, and the chance to work on high-impact projects that shape the digital landscape of commerce. The vast network and resources at Visa provide a clear path for engineers to grow their skills and progress in their careers.

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How does Visa support work-life balance for Staff Software Engineers?

Visa understands the importance of work-life balance for its Staff Software Engineers. With a hybrid working model, employees can enjoy flexibility in their schedules, allowing for a balance between professional and personal commitments. Visa promotes a collaborative yet empathetic work culture where employees are encouraged to take time for themselves while still contributing to exciting and impactful projects.

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Common Interview Questions for Staff Software Engineer- DevOps and Machine Learning
Can you describe your experience with DevOps practices and how they relate to your role as a Staff Software Engineer?

In answering this question, highlight specific DevOps practices you have implemented in your previous roles, such as CI/CD pipeline setup, automated testing, and infrastructure as code. Discuss how your contributions have improved deployment processes or increased system reliability, emphasizing your problem-solving skills and collaboration with cross-functional teams.

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What programming languages are you proficient in, and how have you used them in previous projects?

Clearly outline your proficiency in languages like Java, C++, or any others you are comfortable with. Provide examples of projects where you utilized these languages to build applications, solve problems, or optimize systems, showcasing your technical skills and ability to contribute effectively as a Staff Software Engineer at Visa.

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How do you stay up-to-date with emerging technologies, especially in machine learning?

Demonstrate your commitment to continuous learning by mentioning resources such as online courses, webinars, and industry publications you follow. Discuss how your proactive approach allows you to innovate and apply cutting-edge technologies in your work, relevant to the Staff Software Engineer- DevOps and Machine Learning role.

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Describe a challenging project you worked on and how you overcame obstacles.

Choose a project that had significant challenges related to DevOps or machine learning. Explain the specific problems you encountered and the steps you took to resolve them, focusing on your analytical thinking and teamwork. This will illustrate your capacity to handle complex situations effectively.

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What do you know about Visa’s products and services, and how do they relate to your experience?

Showcase your knowledge about Visa’s extensive range of products and services, particularly their payment technologies. Connect your prior experiences to how they can contribute to the ongoing success of Visa's offerings, demonstrating your passion for the role and the company's mission.

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How do you approach debugging and testing in your software development process?

Detail your systematic approach to debugging and testing, such as using certain tools or methodologies you've found effective. Discuss the importance of these practices in delivering high-quality software and maintaining system integrity, which is crucial for your future work at Visa.

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What is your experience with Agile methodologies, and how do they improve team dynamics?

Reflect on your experience with agile methodologies, perhaps mentioning specific frameworks like Scrum or Kanban. Describe how these practices have fostered collaboration within your teams and improved project delivery, emphasizing your adaptability and teamwork skills as a Staff Software Engineer.

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Can you give an example of how you have utilized AI or machine learning in your previous work?

Provide a brief overview of a project where you implemented AI or machine learning solutions, discussing the methods and technologies you employed. Highlight the outcome of the project and how it relates to the responsibilities of the Staff Software Engineer position at Visa, reinforcing your fit for the role.

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How do you prioritize tasks in a fast-paced environment, especially when working on multiple projects?

Outline your prioritization strategy, such as using task management tools, setting deadlines, or coordinating with team members. Explain how this approach has contributed to your success in delivering projects on time, particularly in a dynamic environment like Visa’s.

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What contributions do you believe you can make at Visa as a Staff Software Engineer?

Articulate your unique skills and experiences that will benefit Visa. Whether it's your proactive mindset towards embracing challenges, technical abilities in software development, or your interest in mentoring others, make a case for how you can significantly impact Visa’s technology initiatives and innovation.

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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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