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
Summary
The Data Platform team at Pismo is responsible for integrating data produced by Pismo’s Banking as a Service/Payments platform with its clients, whether through batch processing (files) or near real-time (events). With a robust, low-latency, and 100% cloud-based architecture, the team excels in
technology and fosters a strong culture of collaboration, partnership, and data-driven decision making for platform development and project prioritization.
What you’ll do
Serve as a senior technical contributor on Pismo’s data stack, leading the design and development of robust, scalable data pipelines using modern Big Data frameworks.
Drive continuous improvement in platform performance, reliability, and cost-effectiveness, proactively identifying opportunities for innovation.
Take ownership of production operations and monitoring (file- and event-based systems), ensuring adherence to SLAs and applying best practices for observability and resilience.
Collaborate with cross-functional teams to architect, build, and evolve high-complexity data features, reducing technical debt and championing engineering excellence.
Provide mentorship to peers through code reviews, feedback, and support, fostering an environment of knowledge sharing and professional development.
Participate in on-call rotations, promptly addressing and resolving production incidents, while proactively implementing preventative measures.
Build and optimize ETL/ELT processes to handle large-scale data, leveraging advanced data processing and distributed systems techniques.
Maintain rigorous data governance and platform standards, working closely with data stakeholders to ensure consistent, high-quality data assets.
Introduce and adopt new technologies, tools, or techniques that accelerate development cycles, improve performance, and reduce costs.
Conduct root-cause analyses for critical issues, challenging and refining team processes to enhance efficiency and reliability.
Influence multiple teams by promoting a culture of technical excellence, forward-thinking solutions, and continuous improvement.
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
Basic Qualifications:
2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience
Preferred Qualifications:
3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
Technical Skills:
3+ Years experience with Golang
3+ Years experience with AWS Services ( Lambda, SQS, S3 )
2+ Years experience with Terraform
Software Engineering experience ( building steaming applications / data platforms )
Desirable Qualifications
Python experience
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.
