Sr. SW Engineer - job 37 of 50

As a Sr. SW Engineer at Visa Technology & Operations LLC, your main responsibilities will include developing enhancements and modifications to existing software, creating extensible code that complies with design specifications and security best practices, and implementing automation to improve the effectiveness and efficiencies of our systems and tools. Additionally, you will engage in code/design reviews with product engineering teams and product owners, ensuring that our development processes align with customer and business objectives.

To qualify for the Sr. SW Engineer position at Visa Technology & Operations LLC, candidates should have extensive experience in software development, particularly in enhancing and modifying existing software systems. A strong understanding of security best practices, advanced knowledge of systems and platforms, and experience in automation implementation are also essential. Familiarity with code/design reviews and effective collaboration with engineering teams is highly valued.

Visa Technology & Operations LLC is committed to fostering an environment that supports career growth for Sr. SW Engineers. We encourage continuous learning through training programs and workshops, where you can enhance your technical skills and knowledge. Additionally, our collaborative culture allows you to gain insights from cross-functional teams, empowering you to advance in your career within the company.

Yes, Visa Technology & Operations LLC offers flexibility for the Sr. SW Engineer role, allowing for partial telecommuting. While the position primarily reports to our Atlanta office, we understand the importance of work-life balance and have adapted our policies to support remote work opportunities.

A Sr. SW Engineer at Visa Technology & Operations LLC will work with a variety of programming languages and technologies, depending on the projects at hand. Typically, you can expect to work with languages such as Java, Python, or C++, and leverage technologies related to automation and system improvement. Familiarity with cloud platforms and DevOps practices would also be advantageous.

As a Sr. SW Engineer, you'll want to discuss your experience with Agile, Scrum, or DevOps methodologies. Detail how you've implemented these methodologies in your past roles, citing specific projects.

Prepare to share a case where you automated processes or enhanced code to improve system efficiency. Be specific about the challenges you faced, the solutions you implemented, and the outcomes that followed.

Emphasize your collaborative approach and how you value feedback during code reviews. Explain how clear communication with product teams helps align objectives and ensures successful implementation.

Discuss your understanding of secure coding practices, such as validating inputs, using prepared statements, and implementing robust authentication methods. Mention how you integrate these practices into your development workflow.

Provide a detailed example of a technical challenge you faced, the steps you took to diagnose the issue, and the innovative solution you implemented. Highlight what you learned from the experience.

Mention specific tools you have experience with, such as Prometheus, Grafana, or AppDynamics. Highlight how you've used these tools to analyze system performance and identify areas for improvement.

Explain your process for prioritizing tasks, whether through Agile planning meetings, utilizing project management tools, or setting personal deadlines. Stress the importance of communication with your team.

Share your background in implementing automation tools and processes, such as CI/CD pipelines, automated testing frameworks, or deployment scripts. Showcase how these efforts contributed to project efficiency.

Talk about practices you follow to maintain code quality, such as writing unit tests, conducting code reviews, and adhering to style guides. Mention how these practices enhance overall software reliability.

Discuss your familiarity with cloud platforms like AWS, Azure, or Google Cloud. Highlight specific projects where you've leveraged cloud services to deploy applications or improve scalability, and detail the impact on previous projects.