Software Development Engineer- Product Reliability Engineering

Visa•Denver, CO

6d•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 involves building, automating, and evolving systems that support Visa’s global payment infrastructure and real-time transactions. The engineer will work across deployment automation, data platforms, agentic AI and machine-learning tools, observability, reliability, and security, while collaborating with Agile teams and participating in supported on-call rotations. The position includes developing production-grade automation and release frameworks; supporting relational database platforms and real-time event streaming; carrying out database health operations and performance optimization; and contributing to database automation and CI/CD. It also involves building AI-powered engineering assistants, integrating LLMs into observability and incident response, creating monitoring dashboards, improving system resilience, and supporting secure, high-availability infrastructure. The role is based in an office setting and requires at least three days in the office. Travel is required 5–10% of the time. Work hours vary according to departmental needs.

Requirements

Bachelor’s degree or at least 3 years of relevant work experience.
At least 3 days in the office; specific days will be confirmed by the Hiring Manager.
Ability to participate in on-call rotations.
The position requires travel 5–10% of the time.

Nice To Haves

Bachelor’s degree in Computer Science, Software Engineering, or a related technical field; 2023–2025 graduates preferred, and December 2025 graduates welcome.
Foundational knowledge of data structures, algorithms, and systems design, including complexity, tradeoffs, and failure modes.
Proficiency in Python and comfort writing scripts or tools in another 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 tools.
Exposure to AWS, GCP, or Azure and conceptual understanding of Docker and Kubernetes.
Understanding of CI/CD principles and modern software delivery pipelines.
Curiosity about GenAI platforms and agentic systems such as OpenAI, Anthropic Claude, or LangChain; hands-on exposure is a plus.
Hands-on experience with infrastructure-as-code tools such as Terraform, Ansible, or Pulumi, including through coursework, capstones, or internships.
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 demonstrating how the candidate thinks and builds.

Responsibilities

Design and deliver end-to-end automation for deployment pipelines, infrastructure provisioning, and release orchestration.
Write production-grade Python and use Go or Bash where appropriate to reduce toil and manual intervention.
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.
Gain exposure to real-time event-streaming architectures supporting payment processing.
Perform database patching, upgrades, backups, and recovery to maintain availability and integrity.
Optimize queries through index tuning, execution-plan analysis, and replication monitoring.
Automate database tasks and configuration management with tools such as Ansible and Liquibase, and contribute to CI/CD pipelines for schema changes across TEST and PROD.
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 tools such as Prometheus, Grafana, Splunk, or ELK.
Analyze system performance and availability data and use findings to improve infrastructure and prevent incidents.
Contribute to self-healing and auto-scaling capabilities.
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.
Work within Agile squads alongside senior engineers, product managers, and global PRE peers in planning, reviews, and release discussions.
Document runbooks, SOPs, and engineering guides.
Participate in on-call rotations with support and mentorship.
Travel 5–10% of the time.