Software Development Engineer

About the Role

Visa is a world leader in payments technology. As a Software Development Engineer on the Product Reliability Engineering (PRE) team, you will build, automate, and evolve systems that process billions of real-time transactions across 200+ countries. This role offers the opportunity to work at the intersection of AI, infrastructure, and global financial technology.

Key Responsibilities

• Build Automation That Scales
• Design and ship end-to-end automation for deployment pipelines, infrastructure provisioning, and release orchestration.
• Write production-grade Python (and Go or Bash) to eliminate toil, reduce manual intervention, and make systems self-managing.
• Develop modular frameworks for release scheduling, validation, rollback, and reporting across the software delivery lifecycle.
• Manage & Evolve Data Platforms
• Support the build, deployment, and operations of relational database systems, contributing to schema design and architecture decisions for critical payment data infrastructure.
• Gain exposure to real-time event streaming architectures.
• Perform database health operations including patching, upgrades, backups, and recovery.
• Optimize query performance through index tuning, execution plan analysis, and replication monitoring.
• Automate database tasks and configuration management using tools like Ansible and Liquibase, and contribute to CI/CD pipelines for schema changes.
• Build predictive and reactive monitoring dashboards for database anomalies.
• Ship Agentic AI & ML-Powered Tools
• Build GenAI-powered engineering assistants to automate deployment orchestration, release governance, and environment lifecycle management.
• Integrate LLMs into observability, incident response, and developer support workflows.
• Contribute to prompt engineering, model fine-tuning, and agentic automation initiatives.
• Own Observability & Platform Health
• Build dashboards, alerts, and metrics using Prometheus, Grafana, Splunk, or ELK for complex, globally distributed systems.
• Analyze system performance and availability data to drive infrastructure improvements.
• Contribute to self-healing and auto-scaling capabilities.
• Engineer for Reliability & Security
• Ensure infrastructure and data platforms meet security and compliance standards for cloud-native deployments.
• Support zero-downtime deployment strategies and high-availability architectures.
• Participate in threat modeling, vulnerability remediation, and audit readiness activities.
• Collaborate, Learn & Grow Fast
• Embed within Agile squads, working with senior engineers, product managers, and global PRE peers.
• Document runbooks, SOPs, and engineering guides.
• Participate in on-call rotations with support structures and mentorship.

Requirements & Tech Stack

• Foundations in data structures, algorithms, and systems design.
• Proficiency in Python.
• 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 command-line fluency.
• Exposure to cloud platforms (AWS, GCP, or Azure).
• Conceptual understanding of containerization (Docker, Kubernetes).
• Understanding of CI/CD principles and software delivery pipelines.
• Genuine curiosity about GenAI platforms and agentic systems (OpenAI, Anthropic Claude, LangChain, or similar).

Bonus Points

• Hands-on experience with infrastructure-as-code tools: Terraform, Ansible, or Pulumi.
• Experience with database CI/CD tooling, particularly Liquibase.
• 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.

Qualifications

• Bachelor's degree, OR 3+ years of relevant work experience.
• Preferred: Bachelor’s degree in Computer Science, Software Engineering, or a related technical field (2023–2025 graduates preferred).

Work Environment

• Requires at least 3 days in office.
• Travel: 5-10% of the time.
• Role performed in an office setting, requiring sitting, standing, and operating standard office equipment.