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Staff Software Engineer- DevOps and Machine Learning - job 18 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
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$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

At Visa, we're on a mission to shape the future of commerce, and as a Staff Software Engineer specializing in DevOps and Machine Learning, you'll play a crucial role in this journey. Located in the vibrant surroundings of Foster City, this position is perfect for versatile and energetic individuals who thrive on solving complex, global challenges. You'll get the opportunity to design, build, and test groundbreaking software that sees real-world usage by billions of users. By collaborating with a multi-functional team, you'll work on critical components of Visa's payment technology that supports 40% of the world's population. Your contributions will focus on developing robust solutions in areas like transaction platforms and real-time payment systems, all while leveraging cutting-edge technologies. You'll be instrumental in establishing best practices for quality improvements and influencing our internal standards for scalability and security. If you're a curious builder excited about creating innovative solutions, this role at Visa is your chance to make a significant impact both locally and globally. Plus, with a hybrid work model, you can enjoy the flexibility of working from home while also collaborating in the office. Join us, and let’s change the way the world experiences payments together!

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 at Visa?

As a Staff Software Engineer at Visa, your responsibilities include designing and implementing scalable software solutions, collaborating with diverse teams to enhance product functionality, and developing automation workflows that support AI operations. You will also be responsible for creating monitoring systems for AI models and ensuring continuous application availability.

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What qualifications do I need to be a Staff Software Engineer at Visa?

To qualify for the Staff Software Engineer role at Visa, candidates should have proficiency in programming languages such as Java, C++, or C#. Practical experience in developing modern web applications, knowledge of DevOps practices, and a passion for learning emerging technologies are also desirable. A growth mindset and the ability to innovatively tackle challenges are key attributes that Visa values.

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What skills are important for success as a Staff Software Engineer in DevOps and Machine Learning at Visa?

Success as a Staff Software Engineer specializing in DevOps and Machine Learning at Visa requires technical expertise in languages like Java and C#, experience in CI/CD processes, and a knack for building scalable systems. Additionally, you should demonstrate a growth mindset, eagerness to embrace new technologies, and effective collaboration skills to work across teams.

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Is the Staff Software Engineer position at Visa remote-friendly?

Yes, the Staff Software Engineer position at Visa offers a hybrid work model, allowing employees to work from home while also spending some time in the office, typically 2-3 days a week. This flexibility is designed to support work-life balance while fostering productive team collaboration.

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What opportunities for professional growth exist for Staff Software Engineers at Visa?

At Visa, Staff Software Engineers have numerous opportunities for professional growth including mentorship programs, access to continuing education resources, and involvement in diverse projects that encourage skill development in cutting-edge technologies like AI and machine learning. Engaging with cross-functional teams also enhances learning and networking prospects.

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Common Interview Questions for Staff Software Engineer- DevOps and Machine Learning
Can you describe your experience with AI/ML deployments?

Discuss your hands-on experience with deploying AI/ML models, emphasizing your role in integrating these models within production environments. Highlight any specific frameworks or tools you used, and mention your approach to monitoring model performance post-deployment.

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How do you ensure the reliability and scalability of the systems you build?

Speak to your experience in applying best practices such as automated testing, continuous delivery, and monitoring for scalability. Provide examples of how you’ve previously identified bottlenecks or performance issues and what measures you took to address them.

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What programming languages are you most proficient in and why?

Focus on your proficiency in languages relevant to the job like Java or C++. Discuss your reasons for choosing them, such as performance capabilities, community support, or ease of integration into development workflows, citing specific projects where you successfully used these languages.

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

Choose a significant project that tested your skills. Explain the challenges faced, your problem-solving approach, and the outcome. Emphasize your role as a team player and how collaboration contributed to overcoming these hurdles.

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How do you stay current with new technologies in the software engineering field?

Discuss your passion for continuous learning. Mention specific methods you employ, such as attending webinars, following industry blogs, participating in tech meetups, or experimenting with new languages and frameworks. This reflects your commitment to professional growth.

Join Rise to see the full answer
What is your approach to collaborating with cross-functional teams?

Illustrate your communication skills and any methodologies you use, like Agile or Scrum to facilitate collaboration. Provide examples that demonstrate your approach to working harmoniously with product, test, and DevOps teams to achieve shared goals.

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What strategies do you use for debugging complex systems?

Provide insight into your debugging methodologies, such as using logging frameworks, unit testing, or debugging tools. Discuss how you’ve utilized these tactics to identify and resolve issues in multi-component systems effectively.

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Can you explain your experience with CI/CD processes?

Talk about your familiarity with CI/CD tools and processes. Share how you’ve implemented these practices in past projects to improve deployment efficiencies and reduce time-to-market for new features while maintaining high-quality standards.

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How do you approach learning a new technology?

Describe your process for approaching new technologies, which might include setting specific learning goals, leveraging online courses, and dedicating time to hands-on experimentation. Highlight any successful experiences you had while learning a new technology.

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Why do you want to be a Staff Software Engineer at Visa?

Share your passion for Visa's mission and the opportunity to work on global challenges. Discuss how your skills align with the role and the potential for professional growth at Visa, making sure to reflect the excitement you feel about contributing to innovative payment solutions.

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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 2, 2025

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