[Remote] Sr. Software Engineer, Instant Pay at Visa

Reading, England, United Kingdom

Visa Logo
Not SpecifiedCompensation
Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Fintech, Banking, Payment Solutions, Financial ServicesIndustries

Requirements

Candidates must have a Bachelor's degree and at least 2 years of relevant work experience, or 5 years of relevant work experience, or 3 years of work experience with a Bachelor's degree, or more than 2 years of work experience with an Advanced Degree. A minimum of 2 years of experience with Golang in production environments is required, along with experience in AWS services such as SQS, SNS, DynamoDB, S3, and EventBridge. A solid understanding of distributed systems and microservices, experience with REST APIs, proficiency with Git and version control workflows, and a strong testing mindset with experience in unit and integration testing are also necessary. Knowledge of SQL (MySQL or PostgreSQL) and NoSQL databases (DynamoDB, MongoDB) is required. Desirable qualifications include experience in high-scale and high-availability environments, familiarity with CI/CD pipelines and Docker/Containers, knowledge of messaging systems and event-driven architectures, understanding of observability practices, background in Agile methodologies, and hands-on experience with Terraform or other IaC tools.

Responsibilities

The Sr. Software Engineer will develop and maintain applications using Golang, following best practices for clean and maintainable code. They will deploy and operate services in AWS, including resources such as SQS, SNS, DynamoDB, S3, and EventBridge. Responsibilities include collaborating with product and engineering teams to analyze, refine, and implement technical solutions aligned with business requirements. The engineer will use Terraform to provision and manage infrastructure resources on AWS, and design and implement RESTful APIs and support integration with other microservices. Writing and maintaining unit and integration tests to ensure code quality, monitoring application health and performance using logs and metrics, and contributing to the evolution of a microservices architecture in a distributed system environment are also key duties.

Skills

Golang
AWS
SQS
SNS
DynamoDB
S3
EventBridge
Terraform
RESTful APIs
Microservices
Distributed Systems
Unit Testing
Integration Testing
Monitoring
Clean Code
Maintainable Code

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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