Software Development Engineer- Product Reliability Engineering

Visa•Austin, TX

About The Position

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.

Requirements

Bachelor's degree, OR 3+ years of relevant work experience
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.

Nice To Haves

Bachelor’s degree in Computer Science, Software Engineering, or a related technical field (2023–2025 graduates preferred; December 2025 graduates welcome).
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.