Software Development Engineer- Product Reliability Engineering

Visa•Denver, CO

9d•Hybrid

About The Position

The Software Development Engineer will join Visa’s Product Reliability Engineering (PRE) team, a software engineering organization focused on infrastructure as code, reliability, and automation. The role builds and evolves systems and tools supporting payment infrastructure that processes real-time transactions across more than 200 countries and territories. The engineer will develop Python-based automation, work with data platforms and distributed systems, build AI-powered engineering tools, and improve observability, platform health, reliability, and security. The position offers an opportunity to develop a career at the intersection of AI, infrastructure, and financial technology, with collaboration, learning, and mentorship from senior engineers and global PRE peers. The role involves designing deployment and infrastructure automation; supporting relational databases and real-time event streaming; developing GenAI-powered assistants and integrating LLMs into engineering workflows; and building monitoring dashboards and self-healing capabilities. It also supports secure, highly available infrastructure, zero-downtime deployment strategies, threat modeling, vulnerability remediation, and audit readiness. The engineer will work in Agile squads, document runbooks and engineering guides, and participate in supported on-call rotations. Visa requires at least three days in the office; the specific days will be confirmed by the Hiring Manager. Work hours vary according to department needs. The position requires 5–10% travel and is performed in an office setting. Visa is not offering relocation or immigration support for this role. Applications will be accepted until at least October 23, 2026.

Requirements

Bachelor’s degree or at least 3 years of relevant work experience.
Foundations in data structures, algorithms, and systems design, including reasoning about complexity, tradeoffs, and failure modes.
Proficiency in Python and comfort writing scripts or tools in at least one additional language, such as Go, Java, or Bash.
Foundational understanding of relational databases, including SQL, data modeling, query optimization, and database connectivity troubleshooting.
Familiarity with Linux/Unix environments and command-line use.
Exposure to cloud platforms such as AWS, GCP, or Azure, and conceptual understanding of Docker and Kubernetes.
Understanding of CI/CD principles and modern software delivery pipelines.
Genuine curiosity about GenAI platforms and agentic systems; intellectual interest is required.

Nice To Haves

Bachelor’s degree in Computer Science, Software Engineering, or a related technical field; 2023–2025 graduates are preferred, and December 2025 graduates are welcome.
Hands-on exposure to GenAI platforms or agentic systems such as OpenAI, Anthropic Claude, or LangChain.
Experience with infrastructure-as-code tools such as Terraform, Ansible, or Pulumi, including through coursework, a capstone, or an internship.
Experience with database CI/CD tooling, particularly Liquibase.
Experience with observability tools such as Prometheus, Grafana, Splunk, ELK, or Datadog.
Database administration exposure, including backup and recovery, performance tuning, index management, or replication monitoring.
Familiarity with Git workflows and DevOps toolchains such as Jenkins, GitHub Actions, or ArgoCD.
Academic or project experience with ML frameworks such as scikit-learn, PyTorch, LangChain, or LangGraph.
Understanding of networking fundamentals such as DNS, load balancing, service mesh, or TCP/IP.
A GitHub profile, personal project, hackathon entry, or open-source contribution that demonstrates how the candidate thinks and builds.

Responsibilities

Design and deliver automation for deployment pipelines, infrastructure provisioning, and release orchestration.
Write production-grade Python and use Go or Bash where appropriate to reduce manual work and toil.
Develop modular frameworks for release scheduling, validation, rollback, and reporting across the software delivery lifecycle.
Support the build, deployment, and operation of relational database systems, including schema design, architecture decisions, and solution engineering.
Perform database patching, upgrades, backups, and recovery to maintain availability and integrity.
Optimize database queries through index tuning, execution-plan analysis, and replication monitoring.
Automate database tasks and configuration management using tools such as Ansible and Liquibase, and contribute to CI/CD pipelines for schema changes across TEST and PROD environments.
Build predictive and reactive monitoring dashboards for database anomalies.
Build GenAI-powered engineering assistants for 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.
Build dashboards, alerts, and metrics using observability tools such as Prometheus, Grafana, Splunk, or ELK.
Analyze performance and availability data and use findings to improve infrastructure and prevent incidents.
Contribute to self-healing and auto-scaling capabilities.
Help ensure infrastructure and data platforms meet security and compliance standards in cloud-native deployments.
Support zero-downtime deployment strategies and high-availability architectures.
Participate in threat modeling, vulnerability remediation, and audit-readiness activities.
Collaborate in Agile squads with senior engineers, product managers, and global PRE peers during sprint planning, reviews, and release discussions.
Document runbooks, standard operating procedures, and engineering guides.
Participate in on-call rotations with support and mentorship.