- Location
- Austin, TX, United States of America
- Workplace
- Hybrid
- Type
- Full-time
- Department
- Engineering
- Education
- Bachelor
- Source
- Workday
Description
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
Every time someone taps, swipes, or clicks to pay- Visa infrastructure makes it happen in milliseconds, across 200+ countries. As a Software Development Engineer on the Product Reliability Engineering (PRE) team, you won’t just watch those systems run- you’ll be one of the engineers building, automating, and evolving them.
PRE is not a traditional ops team. We are a software engineering organization that treats infrastructure as code, reliability as a product, and automation as a strategic advantage. You’ll write Python, build agentic AI tools, manage data platforms, and contribute to the distributed systems that process billions of real-time transactions. From day one, you are an engineer- and from day one, your work matters.
If you are endlessly curious about how large-scale systems stay resilient, obsess over elegant automation, and want to launch your career at the intersection of AI, infrastructure, and global financial technology — this role was built for you.
Build Automation That Scales
▪ Design and ship end-to-end automation for deployment pipelines, infrastructure provisioning, and release orchestration — code that runs millions of times so engineers never have to repeat themselves.
▪ Write clean, production-grade Python (and Go or Bash where it counts) to eliminate toil, reduce manual intervention, and make systems self-managing.
▪ Develop modular frameworks for release scheduling, validation, rollback, and reporting that integrate across the full software delivery lifecycle.
Manage & Evolve Data Platforms
▪ Support the build, deployment, and operations of relational database systems, contributing to schema design, architecture decisions, and solution engineering for critical payment data infrastructure.
▪ Gain exposure to real-time event streaming architectures that support payment processing at scale
▪ Perform database health operations including patching, upgrades, backups, and recovery to maintain the availability and integrity of tier-1 production databases.
▪ Optimize query performance through index tuning, execution plan analysis, and replication monitoring — targeting metrics like query execution time, CPU usage, and replication latency.
▪ Automate database tasks and configuration management using tools like Ansible and Liquibase, and contribute to CI/CD pipelines that govern schema changes through TEST and PROD environments safely.
▪ Build predictive and reactive monitoring dashboards for database anomalies, surfacing health signals before they become incidents.
Ship Agentic AI & ML-Powered Tools
▪ Build GenAI-powered engineering assistants that automate deployment orchestration, release governance, and environment lifecycle management.
▪ Integrate LLMs into observability, incident response, and developer support workflows, transforming reactive operations into proactive, AI-driven intelligence.
▪ Contribute to prompt engineering, model fine-tuning, and agentic automation initiatives that position PRE as one of the most AI-forward reliability organizations in financial technology.
Own Observability & Platform Health
▪ Build dashboards, alerts, and metrics using Prometheus, Grafana, Splunk, or ELK that give engineers real-time clarity on complex, globally distributed systems.
▪ Analyze system performance and availability data and turn insights into infrastructure improvements that prevent incidents before they occur.
▪ Contribute to self-healing and auto-scaling capabilities that keep critical payment infrastructure resilient without human intervention.
Engineer for Reliability & Security
▪ Ensure infrastructure and data platforms meet security and compliance standards across cloud-native deployments supporting global financial services at scale.
▪ Support zero-downtime deployment strategies and high-availability architectures that Visa’s partners and billions of cardholders depend on around the clock.
▪ Participate in threat modeling, vulnerability remediation, and audit readiness activities as part of a team that treats security as a first-class engineering concern.
Collaborate, Learn & Grow Fast
▪ Embed within Agile squads, working alongside senior engineers, product managers, and global PRE peers across sprint planning, reviews, and release discussions.
▪ Document runbooks, SOPs, and engineering guides that make the team smarter, faster, and more autonomous over time.
▪ Participate in on-call rotations (with robust support structures and mentorship) to build the incident response instincts that distinguish great reliability engineers.
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.Qualifications
Basic Qualifications:
- Bachelor's degree, OR 3+ years of relevant work experience
Preferred Qualifications:
▪ Bachelor’s degree in Computer Science, Software Engineering, or a related technical field (2023–2025 graduates preferred; December 2025 graduates welcome).
▪ Solid foundations in data structures, algorithms, and systems design -you can reason about complexity, tradeoffs, and failure modes.
▪ Proficiency in Python and comfort writing scripts or tools in at least one additional language (Go, Java, or Bash).
▪ Foundational understanding of relational databases (RDBMS): SQL, data modeling, query optimization, and database connectivity troubleshooting.
▪ Familiarity with Linux/Unix environments and meaningful command-line fluency.
▪ Exposure to cloud platforms (AWS, GCP, or Azure) and a conceptual understanding of containerization (Docker, Kubernetes).
▪ Understanding of CI/CD principles and how modern software delivery pipelines are structured and maintained.
▪ Genuine curiosity about GenAI platforms and agentic systems (OpenAI, Anthropic Claude, LangChain, or similar)- hands-on exposure is a plus, intellectual interest is a must.
Bonus Points:
▪ Hands-on experience with infrastructure-as-code tools: Terraform, Ansible, or Pulumi -even from coursework, a capstone, or an internship.
▪ Experience with database CI/CD tooling, particularly Liquibase for schema change management across environments.
▪ Experience with observability tooling: Prometheus, Grafana, Splunk, ELK, or Datadog.
▪ Database administration exposure: backup/recovery procedures, performance tuning, index management, or replication monitoring.
▪ Familiarity with Git workflows and modern DevOps toolchains (Jenkins, GitHub Actions, ArgoCD).
▪ Academic or project experience with ML frameworks: scikit-learn, PyTorch, or LangChain / LangGraph.
▪ Understanding of networking fundamentals: DNS, load balancing, service mesh, or TCP/IP.
▪ A GitHub profile, personal project, hackathon entry, or open-source contribution that shows us how you think and build.
Information for US Applicants
Work Hours
Varies upon the needs of the department.
Travel Requirements
This position requires travel 5-10% of the time.
Mental/Physical Requirements
This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
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 protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.