Senior Software Engineer, Product Reliability Engineering

Visa

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Austin, TX
Employment
Full-time
Posted
5 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $174k
$107k $236k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $149,500–$198,900.

Based on 240 similar postings.

Employer

About Visa

Visa Inc. is the world''s largest payment network, enabling digital payments for consumers, merchants, financial institutions, and governments through its global processing network and branded card products. Industry: Payments Technology & Financial Services

Visa currently has 104 open roles on FindRole.

Listed pay typically runs $154,900–$248,200 across 99 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer, Product Reliability Engineering

The Senior Software Engineer- Product Reliability Engineering joins the Product Reliability Engineering team to build, automate, and evolve infrastructure as code. This role focuses on treating reliability as a product by designing end-to-end automation for deployment pipelines, infrastructure provisioning, and release orchestration. You will develop agentic AI tools, manage relational database platforms, and build proactive monitoring solutions for high-volume transaction processing. Key responsibilities include writing production-grade Python, Go, or Bash to eliminate toil, managing database health, and implementing self-healing capabilities. You will utilize tools such as Ansible, Liquibase, Prometheus, Grafana, Splunk, and Kubernetes to ensure the security and scalability of global financial technology. The work involves solving complex distributed systems problems, performing root cause analysis, and maintaining high availability for business-critical payment systems.

What does a Software Engineer earn in Texas?

Median $178175 from 195 postings across 46 companies.

See salary data

What you'll do

  • Design and deploy end-to-end automation for deployment pipelines, infrastructure provisioning, and release orchestration.
  • Write production-grade Python code to eliminate manual toil and improve the reliability of engineering workflows.
  • Build and operate relational database platforms, including performance tuning, capacity management, and automated schema deployments.
  • Develop GenAI-powered tools and LLM-driven capabilities to automate operational workflows and incident response.
  • Build dashboards and telemetry pipelines using tools like Prometheus and Grafana to monitor globally distributed systems.
  • Perform root cause analysis and lead troubleshooting efforts across infrastructure, applications, and database services.
  • Implement self-healing, automated remediation, and auto-scaling capabilities to improve system resilience.
  • Execute vulnerability remediation, configuration hardening, and security automation to maintain platform integrity.

What we're looking for

  • Bachelor’s degree with 2+ years of relevant professional experience, OR an advanced degree with 2+ years of 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 (preferred).
  • Experience supporting Linux-based systems and troubleshooting distributed applications or infrastructure (preferred).
  • Hands-on experience with logging or search platforms such as Splunk, ClickHouse, OpenSearch, or Elasticsearch (preferred).
  • Hands-on experience with metrics and visualization technologies such as Prometheus, Thanos, Grafana, or Bosun (preferred).
  • Experience with cloud platforms (preferably AWS or GCP), cloud-native architecture, containers, and orchestration technologies like Docker or Kubernetes (preferred).
  • Experience with infrastructure as code, configuration management, CI/CD pipelines, Git, and automated testing (preferred).
  • Experience in production incident troubleshooting, root cause analysis, and vulnerability remediation (preferred).

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