Staff Software Engineer, Data Platform

Tink; São Paulo; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A leading financial technology company seeks a software engineer to lead the design of their data platform. This remote position involves building efficient data services and mentoring engineers. Candidates must have a strong background in distributed systems and proficiency in programming languages like Golang or Python. The role is based in Brazil and requires familiarity with cloud computing and streaming processing.

Qualificações

• Strong software engineering background building distributed systems at scale.
• Proficiency in Golang or Python.
• Familiarity with modern streaming processing tools.

Responsabilidades

• Lead the design and evolution of data platform architecture.
• Drive decisions on data stack and platform standards.
• Build and optimize high-performance data services and pipelines.

Conhecimentos

Distributed systems

Golang

Python

Streaming processing

Cloud computing

Terraform

Docker

Kubernetes

Airflow

SQL

Versioning

English (B2)

Descrição da oferta de emprego

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:

• Lead the design and evolution of our data platform from architecture to production with a focus on reliability, cost, and scale
• Drive decisions on data stack and platform standards across teams
• Build and optimize high-performance data services and pipelines (batch and streaming) for large-scale workloads
• Own production operations for file- and event-based systems: monitoring, incident response (on-call), and continuous improvement to meet SLAs
• Mentor engineers through design reviews, code reviews, and hands‑on pairing, raise the bar for testing, security, and observability
• Collaborate with partner teams and customers to deliver data products end to end
• Reduce technical debt and simplify systems with clean interfaces and clear 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. #LI-Remote

Qualifications

Basic Requirements:

• Strong software engineering background building distributed systems at scale
• Proficiency in Golang or Python
• Familiarity with modern streaming processing (Kinesis, Flink, Spark)
• Cloud computing skills (preferable AWS) and hybrid designs
• Data platform tooling: Terraform (IaC), Docker and Kubernetes (prod) and Airflow (or similar orchestration)
• Observability and SRE mindset: Grafana, CloudWatch (logs, metrics, traces), on-call ownership, SLA thinking
• Strong SQL skills
• Versioning and CI/CD: Git GitHub, pipelines (e.g. Codefresh) or similar
• English: B2 level or above
• Be based in Brazil

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.