Senior Software Engineer
AI in this role
About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.
Job Description
Visa’s Observability Engineering team builds and operates enterprise-scale monitoring, logging, and tracing platforms that help power Visa’s global payments ecosystem. Our platforms support mission-critical applications and infrastructure, with an emphasis on reliability, security, resiliency, performance, and operational excellence.
The Opportunity
We are looking for a Senior Software Engineer who can apply software engineering experience and a platform mindset to build and operate large-scale distributed systems. In this hands-on role, you will design and deliver scalable observability solutions, develop automation, and partner with application and infrastructure teams to improve reliability, performance, and operational readiness across Visa’s technology environment.
You will leverage development experience and familiarity with cloud-native platforms, observability technologies, and highly available production environments to contribute to secure, always-on digital payments. We welcome candidates with transferable platform engineering experience who are motivated to deepen their observability expertise.
Key Responsibilities:
Develop, and maintain scalable solutions for monitoring, logging, and tracing across Visa’s hybrid and cloud environments.
Build platform services, automation, APIs, and self-service capabilities using languages such as Python, Golang, or Java.
Contribute to observability architecture, engineering standards, and practical patterns that improve reliability and developer productivity.
Support large-scale deployments, platform modernization, and continuous improvement across enterprise observability platforms.
Partner with application and infrastructure teams to advance instrumentation, telemetry adoption, and production readiness for critical Visa services.
Apply Infrastructure-as-Code, CI/CD, and GitOps practices to improve platform reliability, repeatability, and efficiency.
Participate in root cause analysis, performance optimization, capacity planning, and resiliency improvements for production platforms.
Collaborate through design discussions, code reviews, knowledge sharing, and mentorship within observability and platform engineering initiatives.
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications:
- 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience
Preferred Qualifications:
- 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
4 or more years of experience in software engineering, platform engineering, site reliability engineering, or a related discipline.
Experience developing production software using any one of the programming languages Golang/Python/Java
Experience designing, building, or operating distributed systems or platform services.
Understanding of system architecture, reliability, performance, security, and automation principles.
Experience working collaboratively across engineering teams and communicating technical concepts clearly.
Analytical and troubleshooting skills, with the ability to learn new technologies and apply them to complex engineering problems.
Ability to adapt to next technology stack that is needed per project priorities.
Nice-to-Have Skills
Experience with observability concepts across metrics, logs, and traces.
Familiarity with one or more technologies such as OpenTelemetry, Prometheus, Grafana, Fluent Bit, Elastic/OpenSearch, Splunk, or equivalent platforms.
Experience with Kubernetes, Docker, or modern container platforms.
Familiarity with Terraform, GitHub Actions, Ansible, GitOps, or CI/CD automation.
Experience operating or scaling platforms in AWS, Azure, GCP, or hybrid environments.
Experience contributing to architecture decisions, engineering standards, or platform modernization initiatives.
How You Will Contribute
Build pragmatic, reliable solutions that improve the experience of application and platform teams.
Take ownership of complex engineering problems while collaborating openly with teammates and partner teams.
Contribute to platforms that operate at enterprise scale with high expectations for availability, security, and resiliency.
Influence technical direction through clear communication, practical standards, and credible engineering contributions.
Help advance automation, platform engineering, observability, and operational excellence across a global technology environment.
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
How we score this
Senior Software Engineer at Visa scores 32 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.
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