Lead Software Engineer, Middleware Reliability Engineering

Visa Visa · Fintech · Foster City, CA

Lead Software Engineer for Visa's Middleware Reliability Engineering team, focusing on automation, observability, and AI/ML integration for critical payment systems. Responsibilities include developing automation solutions, managing infrastructure as code, optimizing CI/CD pipelines, enhancing observability, and leading cloud-native initiatives. The role involves mentoring and driving DevOps best practices, with a specific emphasis on integrating AI/ML frameworks and chatbots to improve operational intelligence and tooling.

What you'd actually do

  1. Champion Automation: Design and develop robust automation solutions using Python, Java, and Go to streamline deployment, monitoring, and incident response processes for our middleware infrastructure.
  2. Infrastructure as Code: Leverage your expertise in Terraform and Ansible to manage and provision infrastructure components, ensuring consistency and repeatability across our environments.
  3. CI/CD Optimization: Enhance our continuous integration and continuous delivery (CI/CD) pipelines using Jenkins and other relevant tools to accelerate software delivery and improve code quality.
  4. Observability Enhancement: Integrate middleware products with Prometheus and in-house monitoring tools to provide comprehensive observability into system health, performance, and potential issues.
  5. AI Integration: Develop integrations with AI/ML frameworks and chatbots to enhance automation and operational intelligence

Skills

Required

  • Python
  • Java
  • Go
  • Terraform
  • Ansible
  • Jenkins
  • Prometheus
  • Linux/Unix systems
  • networking protocols
  • secret management
  • cloud platforms (AWS, Azure, GCP)
  • containerization (Kubernetes, Docker)
  • monitoring tools
  • logging systems
  • tracing tools
  • CI/CD pipelines
  • middleware technologies
  • application servers
  • integration platforms
  • troubleshooting
  • performance optimization

Nice to have

  • AI/ML frameworks
  • chatbot integrations

What the JD emphasized

  • AI Integration
  • AI/ML frameworks
  • chatbot integrations
  • operational intelligence
  • operational tooling

Other signals

  • AI Integration
  • operational intelligence
  • AI/ML frameworks
  • chatbot integrations
  • operational tooling