
Global payments technology company connecting the world
Sr. Software Engineer, Data Platform at Visa
About the role
Company Description
Founded by experienced entrepreneurs and engineers in 2016, Pismo is a technology company that provides a comprehensive processing platform for banking, card issuing and financial market infrastructure and helps customers innovate and build the next generation of banking and payment solutions. Pismo joined Visa in 2024.
Leveraging Visa’s solutions, our core platform, and an expanding suite of capabilities, Pismo addresses the technological challenges that large banks, marketplaces, and fintech companies face in migrating from legacy systems to more advanced technology in the market. Pismo’s cloud-based platform empowers firms to build and launch financial products rapidly, scaling as they grow to have a broader audience while keeping high security and availability standards.
Pismo’s 500+ employees are located in more than 10 countries around the world.
Job Description
What you will do:
- Contribute to the design and evolution of the data platform, ensuring reliability, cost efficiency, and scalability
- Implement and optimize high-performance data services and pipelines (batch and streaming) for large-scale workloads
- Support production operations for file- and event-based systems: monitoring, incident response (on-call), and continuous improvement to meet SLAs
- Participate in code and design reviews, promoting best practices in testing, security, and observability
- Collaborate with partner teams and internal customers to deliver end-to-end data products
- Help reduce technical debt and simplify systems with clean interfaces and consistent patterns
This is a remote position. A remote position does not require job duties be performed within proximity of a Visa office location. Remote positions may be required to be present at a Visa office with scheduled notice.
Qualifications
What we are looking for:
- Strong software engineering background building distributed systems at scale
- Proficiency in Golang, Python is a plus
- Cloud computing skills (preferably AWS) and hybrid designs
- Experience with modern streaming processing
- Data platform tooling: Terraform (IaC), Docker and Kubernetes (production) and Airflow (or similar orchestration)
- Observability and reliability mindset: Grafana, CloudWatch (logs, metrics, traces), on-call participation, SLA awareness
- Strong SQL skills
- Version control and CI/CD: Git/GitHub, pipelines (e.g. Codefresh) or similar
- Soft skills: clear communication, adaptability, self-management, critical thinking, collaboration
- English: B1 or above
Additional Information
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Benefits and perks
•Parental Leave
•Flexible Hours
•Learning Budget
Required skills
PostgreSQL
Node.js
React
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About Visa

Visa
PublicVisa Inc. is an American multinational payment card services corporation headquartered in San Francisco, California. It facilitates electronic funds transfers throughout the world, most commonly through Visa-branded credit cards, debit cards and prepaid cards.
10,001+
Employees
Foster City
Headquarters
$500B
Valuation
Reviews
10 reviews
3.7
10 reviews
Work-life balance
3.2
Compensation
4.2
Culture
4.1
Career
4.0
Management
3.8
72%
Recommend to a friend
Pros
Good benefits and high compensation
Learning opportunities and growth
Supportive management and team culture
Cons
Fast-paced and demanding environment
Slow decision-making and approvals
Long internal processes
Salary Ranges
28 data points
Junior/L3
Mid/L4
Junior/L3 · Analyst
1 reports
$106,195
total per year
Base
$92,300
Stock
-
Bonus
-
$106,195
$106,195
Interview experience
4 interviews
Difficulty
3.3
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 75%
Negative 25%
Interview process
1
Application Review
2
Online Assessment
3
Phone Screen
4
Technical Interview Rounds
5
Final Round Interview
6
Offer
Common questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
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