Lead Software Engineer at Visa

Foster City, California, United States

Visa Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Fintech, PaymentsIndustries

Requirements

  • Expertise in Python, Java, and Go for developing automation solutions
  • Expertise in Terraform and Ansible for infrastructure as code
  • Experience with Jenkins and git for CI/CD pipelines
  • Experience integrating with Prometheus, Grafana, ELK, and in-house monitoring tools
  • Experience with HashiCorp Vault and secret management
  • Understanding of security best practices and PCI/SOC compliance requirements
  • Experience implementing and troubleshooting mutual TLS authentication protocols for secure service-to-service communication in distributed systems
  • Knowledge of identity and access management principles
  • Passion for automation and infrastructure as code
  • Experience mentoring and knowledge sharing
  • Systematic and thoughtful problem-solving approach
  • Strong collaboration and clear communication skills
  • Eagerness to learn and adapt to new technologies

Responsibilities

  • Drive resiliency and availability by partnering with Platform Engineering and Product teams to enhance middleware reliability, implementing operational best practices, and integrating quality measures throughout the product development lifecycle
  • Design and develop robust automation solutions using Python, Java, and Go to streamline deployment, monitoring, and incident response processes for middleware infrastructure
  • Leverage Terraform and Ansible to manage and provision infrastructure components, ensuring consistency and repeatability across environments
  • Enhance CI/CD pipelines using Jenkins and git to accelerate software delivery and improve code quality
  • Integrate middleware products with Prometheus, Grafana, ELK, and in-house monitoring tools to provide comprehensive observability into system health, performance, and potential issues
  • Lead evolution toward cloud-native solutions and modern DevOps and Observability practices
  • Develop integrations with AI/ML frameworks, chatbots, and agents to enhance automation and operational intelligence
  • Mentor team members on software development and promote DevOps best practices across the organization

Skills

Python
Java
Go
Terraform
Ansible
Jenkins
git
CI/CD
Infrastructure as Code
automation
observability

Visa

Global digital payment network provider

About Visa

Visa operates a global digital payment network that facilitates electronic payments for millions of people daily. The company connects consumers, businesses, financial institutions, and governments, allowing them to make transactions using Visa cards. Each time a card is used, Visa earns money through transaction, service, and data processing fees. Unlike many competitors, Visa focuses on expanding access to financial services for underserved communities and supporting local economies. The company's goal is to promote financial inclusivity and drive sustainable commerce, ensuring that more people can participate in the global economy.

San Francisco, CaliforniaHeadquarters
1958Year Founded
$55.8MTotal Funding
ANGEL_INDIVIDUALCompany Stage
Fintech, Financial ServicesIndustries
10,001+Employees

Benefits

Health Insurance.
Life Insurance.
Dental Insurance.
Disability Insurance.
Accidental Death & Dismemberment Insurance.

Risks

CBDCs could reduce reliance on Visa's payment network.
'Buy Now, Pay Later' services may decrease traditional credit card transactions.
Fintech startups offering zero-fee transactions could pressure Visa's revenue model.

Differentiation

Visa operates a global digital payment network connecting millions daily.
The company focuses on financial inclusivity and sustainability in its operations.
Visa collaborates with central banks on Central Bank Digital Currencies (CBDCs).

Upsides

Visa's partnership with fintechs enhances cross-border payment solutions.
Adoption of blockchain technology could revolutionize digital payments.
AI-driven fraud detection systems are reducing fraudulent activities.

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