Job DescriptionEvery 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.
QualificationsBasic 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 ([redacted] 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.
U.S. Applicants OnlyThe estimated salary range for this position is $88,000.00 to $ 136,900.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
Work HoursVaries upon the needs of the department.
Travel RequirementsThis position requires travel 5-10% of the time.
Mental/Physical RequirementsThis 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.
