Senior Software Engineer, Reliability & AI Automation

Visa

Austin (TX)

Hybrid

USD 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k)

FSA/HSA

Paid time off

Wellness program

Job summary

Visa is seeking a Software Development Engineer on the Product Reliability Engineering (PRE) team to design, build, and automate large-scale infrastructure and data platforms. You will write Python, manage AI-enabled tooling, and contribute to reliable, real-time payment systems.

This role emphasizes automation, observability, scalability, and security across cloud-native and hybrid environments, with opportunities to shape reliability practices and ship agentic AI-powered tooling.

Qualifications

Bachelor's degree with 2+ years of relevant professional experience, OR an advanced degree with at least 2 years of relevant experience, OR 5+ years of relevant work experience.
Hands-on software engineering or automation experience using Python, Java, Go, JavaScript/TypeScript, or a comparable language.
Experience supporting Linux-based systems and troubleshooting distributed applications or infrastructure.
Hands-on experience with one or more logging or search platforms such as Splunk, ClickHouse, OpenSearch, or Elasticsearch.
Hands-on experience with metrics and visualization technologies such as Prometheus, Thanos, Grafana, or Bosun.
Experience developing backend services, APIs, command-line tools, integrations, or operational automation.
Experience with cloud platforms, preferably AWS or GCP, and with cloud-native architecture and services.
Experience with containers and orchestration technologies such as Docker, Kubernetes, or equivalent enterprise container platforms.
Experience with infrastructure as code, configuration management, CI/CD pipelines, Git, automated testing, and deployment tooling.
Understanding of telemetry pipelines, log collection and parsing, metrics collection, alerting, dashboards, data retention, access controls, and platform integrations.
Understanding of distributed systems, scalability, high availability, disaster recovery, performance tuning, capacity planning, and reliability engineering.
Experience in production incident troubleshooting, root cause analysis, problem management, and implementing preventive remediation.
Experience with vulnerability remediation, secure configuration, certificate management, patching, upgrades, and software lifecycle management.
Ability to translate user and platform requirements into maintainable engineering solutions and clear technical documentation.
Strong problem-solving, communication, and collaboration skills, with the ability to work effectively across globally distributed teams.

Responsibilities

Design, develop, and deploy end-to-end automation for deployment pipelines, infrastructure provisioning, platform operations, and release orchestration across complex production environments.
Write clean, production-grade Python (and Go or Bash where it counts) to eliminate toil, reduce operational risk, and improve reliability and scalability of critical engineering workflows.
Design and implement reusable frameworks for release scheduling, validation, rollback, reporting, and configuration management that support the software delivery lifecycle.
Drive automation initiatives that improve engineering efficiency, standardization, and operational excellence across teams.
Design, build, operate, and continuously improve relational database platforms supporting critical payment systems and high-volume transaction processing.
Contribute to architecture decisions, platform enhancements, and engineering solutions that improve scalability, resiliency, and performance.
Lead database health and lifecycle operations including upgrades, patching, backup and recovery strategies, and platform modernization efforts.
Analyze and optimize database performance through index tuning, execution plan analysis, replication monitoring, and capacity management.
Develop automation for database operations, configuration management, and schema deployments using tools such as Ansible, Liquibase, and CI/CD pipelines.
Build proactive monitoring, observability, and reporting solutions that identify reliability risks before they impact production services.
Design and build GenAI-powered engineering solutions that automate deployment orchestration, operational workflows, release governance, and platform management.
Integrate LLM-driven capabilities into observability, incident response, troubleshooting, and developer productivity workflows to improve operational effectiveness.
Evaluate and implement emerging AI, automation, and machine learning technologies that improve reliability, efficiency, and engineering velocity.
Contribute to agentic automation strategies that help evolve PRE into an increasingly intelligent and autonomous engineering organization.
Design and build dashboards, alerts, telemetry pipelines, and health indicators using Prometheus, Grafana, Splunk, or ELK to provide visibility across globally distributed systems.
Analyze platform performance, reliability, utilization, and availability data to identify trends and implement long-term improvements.
Lead troubleshooting efforts across infrastructure, applications, databases, and platform services, performing root cause analysis and driving durable corrective actions.
Design and implement self-healing, automated remediation, and auto-scaling capabilities that improve system resilience and reduce operational overhead.
Design and implement highly available, scalable infrastructure solutions that support business-critical payment systems operating at global scale.
Ensure platforms and services meet security, compliance, governance, and resiliency requirements across cloud-native and hybrid environments.
Drive vulnerability remediation, configuration hardening, patch management, and security automation efforts to improve platform security posture.
Partner with engineering teams to build reliability and security practices directly into the software development lifecycle.
Partner with software engineers, product managers, platform teams, and global PRE peers to design, deliver, and operate reliable engineering solutions.
Participate in architecture reviews, design discussions, code reviews, and technical planning activities, contributing engineering expertise and best practices.
Create and maintain technical documentation, runbooks, operational procedures, and engineering standards that improve team effectiveness and knowledge sharing.
Participate in on-call rotations and incident response activities, driving operational improvements and helping teams learn from production events.
Take ownership of assigned initiatives from design through implementation, deployment, and operational support while continuously seeking opportunities to improve systems and processes.