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Staff Software Engineer- DevOps and Machine Learning - job 12 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

At Visa, we're looking for a talented Staff Software Engineer specializing in DevOps and Machine Learning to join our dynamic team in Foster City. If you're passionate about pushing boundaries and solving complex challenges on a global scale, you’ll fit right in! In this role, you’ll work alongside a multi-functional development team that’s right at the forefront of technology, designing and developing innovative solutions that impact billions of transactions worldwide. Imagine creating software that connects 40% of the global population! You’ll have the chance to dive into exciting work, including AI-driven projects, robust payment systems, and cutting-edge technology like Continuous Delivery pipelines. Your creativity and technical skills will be crucial as you collaborate with various teams to enhance services and improve user experiences across e-commerce platforms. With opportunities for mentorship and continuous learning, you'll not only contribute to Visa’s goals but also grow your technical expertise across multiple areas. We're all about innovation here, so if you thrive in environments that challenge the status quo, bring your growth mindset and adventurous spirit, and let's reshape the future of commerce together at 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 at Visa?

As a Staff Software Engineer specializing in DevOps and Machine Learning at Visa, you will be responsible for designing and developing scalable systems, enhancing interface features, implementing robust monitoring systems for AI models, and managing Continuous Delivery solutions. Your role will involve collaborating across multi-functional teams to ensure high-quality software solutions that cater to a global customer base.

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

To be considered for the Staff Software Engineer position at Visa, candidates typically need expertise in programming languages such as Java, C++, or C#. Experience in building and deploying modern services and knowledge of technologies like Docker, Kubernetes, and continuous integration/continuous deployment practices are essential. A growth mindset and willingness to learn new technologies are also important.

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How does Visa support the career development of Staff Software Engineers?

Visa values the professional growth of its Staff Software Engineers and provides ample opportunities for mentorship and continuous learning. Our engineers are encouraged to take on challenging projects and explore new technologies, ensuring they stay at the forefront of innovation within the tech industry.

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What technology stack is primarily used by Staff Software Engineers at Visa?

Staff Software Engineers at Visa work with a diverse technology stack that includes Java, C++, HTML, and various modern web technologies. Familiarity with DevOps tools, AI/ML frameworks, and cloud environments is also important for those in this role to maximize their potential impact.

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What is Visa's approach to work-life balance for Staff Software Engineers?

Visa adopts a hybrid working model, allowing Staff Software Engineers to balance their professional and personal commitments effectively. Employees typically spend 2-3 days per week in the office, promoting collaboration while allowing flexibility for remote work on other days.

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Common Interview Questions for Staff Software Engineer- DevOps and Machine Learning
Can you describe your experience with Continuous Delivery in the context of software development?

During my previous role, I implemented a Continuous Delivery pipeline that automated the build, testing, and deployment processes, significantly reducing deployment time while ensuring high quality standards. I focused on creating a seamless experience for developers, setting up CI/CD tools like Jenkins, which allowed us to deploy code to production reliably.

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How do you approach debugging issues in distributed systems?

When debugging distributed systems, I start by replicating the issue in a controlled environment. I utilize monitoring tools and logs to trace where the failure occurs, often focusing on network latency, service dependencies, or data consistency issues. Collaboration with team members also helps to leverage different perspectives.

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What strategies do you use to ensure scalability and performance in your applications?

To ensure scalability, I design systems with modular architecture, allowing components to operate independently. I also leverage load testing tools to identify potential bottlenecks and optimize code. Additionally, employing caching strategies and asynchronous processing can help maintain performance under high loads.

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How do you stay updated with new technologies relevant to DevOps and Machine Learning?

I regularly participate in online courses, webinars, and community forums dedicated to DevOps and Machine Learning. Additionally, I follow key influencers on social media, read technical blogs, and contribute to open-source projects to apply new concepts and learn from real-world implementations.

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Describe a challenging problem you solved in your previous role.

In a recent project, we faced significant latency issues due to database bottlenecks. I proposed implementing a caching layer, which dramatically improved response times for frequent queries. This solution not only resolved the immediate problem but also enhanced overall application performance.

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Can you explain the importance of monitoring AI models in production?

Monitoring AI models in production is crucial because it allows us to detect performance degradation, data drift, and potential biases in real-time. Regularly analyzing these metrics ensures that our models remain accurate and reliable, which is essential for maintaining trust with our users and achieving business objectives.

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What experience do you have with version control systems?

I have extensive experience using Git for version control, managing branches, and resolving merge conflicts. I prioritize maintaining a clean commit history and use pull requests to facilitate code reviews and discussions within the team, ensuring code quality before merging changes.

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How do you encourage collaboration within your team?

I foster an open environment by encouraging team members to share ideas and feedback during meetings. I also facilitate pair programming sessions and regular team retrospectives to discuss what works well and what can be improved, ensuring everyone feels valued and engaged.

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What role does automation play in your work process?

Automation is essential in my workflow for reducing manual tasks, increasing efficiency, and minimizing errors. I automate deployments, testing, and monitoring processes, which allows us to focus more on development and innovation rather than repetitive tasks.

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How do you handle tight deadlines and pressure in your role?

I prioritize tasks effectively, breaking down larger projects into manageable steps and setting realistic milestones. I also communicate proactively with my team and stakeholders to align expectations and ensure we remain focused on delivering quality work, even under tight deadlines.

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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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