Senior Software Engineer, Product Reliability Engineering

Salary: $70,000 - 110,000 per year Requirements:

• Bachelors degree plus at least 2 years of relevant professional experience, an advanced degree plus at least 2 years of relevant experience, or 5+ years of relevant work experience.
• Hands-on software engineering or automation experience with Python, Java, Go, JavaScript/TypeScript, or a comparable language.
• Experience supporting Linux-based systems and troubleshooting distributed applications or infrastructure.
• Experience with logging or search platforms such as Splunk, ClickHouse, OpenSearch, or Elasticsearch, and metrics or visualization tools 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 cloud-native architecture and services.
• Experience with containers and orchestration technologies such as Docker, Kubernetes, or equivalent enterprise 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 troubleshooting production incidents, conducting root cause analysis and 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, including the ability to work effectively across globally distributed teams.

• Design, develop, and deploy end-to-end automation for deployment pipelines, infrastructure provisioning, platform operations, and release orchestration.
• Write production-grade Python and, where appropriate, Go or Bash to reduce manual work and operational risk and improve the reliability and scalability of engineering workflows.
• Build reusable frameworks for release scheduling, validation, rollback, reporting, and configuration management, and advance automation across teams.
• Design, build, operate, and improve relational database platforms that support critical payment systems and high-volume transaction processing.
• Contribute to platform architecture and enhancements, and manage database upgrades, patching, backup and recovery, modernization, performance tuning, replication monitoring, and capacity planning.
• Automate database operations, configuration management, and schema deployments using tools such as Ansible, Liquibase, and CI/CD pipelines.
• Develop monitoring, observability, and reporting solutions to identify reliability risks before they affect production.
• Build generative AI and machine-learning-powered tools for deployment orchestration, operational workflows, release governance, and platform management.
• Integrate LLM-driven capabilities into observability, incident response, troubleshooting, and developer productivity workflows; assess emerging technologies and contribute to agentic automation strategies.
• Create dashboards, alerts, telemetry pipelines, and health indicators with tools such as Prometheus, Grafana, Splunk, or ELK.
• Analyze performance, reliability, utilization, and availability data, identify trends, and implement long-term improvements.
• Troubleshoot infrastructure, applications, databases, and platform services; perform root cause analysis and deliver lasting corrective actions.
• Design self-healing, automated remediation, and auto-scaling capabilities to strengthen resilience and reduce operational overhead.
• Engineer highly available, scalable infrastructure for global, business-critical payment systems and help ensure platforms meet security, compliance, governance, and resiliency requirements in cloud-native and hybrid environments.
• Drive vulnerability remediation, configuration hardening, patch management, and security automation, and embed reliability and security practices into the software development lifecycle.
• Collaborate with software engineers, product managers, platform teams, and global PRE colleagues on reliable engineering solutions.
• Participate in architecture reviews, design discussions, code reviews, and technical planning; document technical processes, runbooks, procedures, and standards.
• Take part in on-call rotations and incident response, identify operational improvements, and help teams learn from production events.
• Own initiatives from design through implementation, deployment, and operational support, continually improving systems and processes.

• AI
• AWS
• OpenSearch
• Ansible
• Backend
• Bash
• CI/CD
• ClickHouse
• Cloud
• Docker
• ELK
• ElasticSearch
• GCP
• Git
• Grafana
• Support
• Java
• JavaScript
• Kubernetes
• LLM
• Linux
• Liquibase
• Prometheus
• Python
• Security
• Splunk
• TypeScript
• Agentic AI
• DevOps
• Machine Learning

More:

We are Visa, a global payments technology company that enables transactions among consumers, merchants, financial institutions, and government entities in more than 200 countries and territories. In this Software Development Engineer role on our Product Reliability Engineering team, you will help build and evolve the automation, infrastructure, data platforms, and distributed systems behind real-time payments. Our PRE organization is a software engineering team focused on infrastructure as code, reliability, and automation, with work spanning AI, infrastructure, and global financial technology. We require at least three days in the office, with the schedule confirmed by the hiring manager. Work hours vary according to departmental needs, travel is expected 5–10% of the time, and the role is performed in an office setting. Eligible US applicants may receive benefits including medical, dental and vision coverage, 401(k), FSA/HSA, life insurance, paid time off, and a wellness program.

last updated 41 week of 2026