Sr SW Engineer, Legal Reports
Germany, Pike County, Ohio, USA
Listed on 2026-02-28
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Software Development
Cloud Engineer - Software, DevOps, Software Engineer, Backend Developer
Summary
A Legal Reports é a squad responsável por gerar e operar reports regulatórios bancários para órgãos fiscalizadores, como Banco Central do Brasil, Receita Federal e reguladores internacionais. Atuamos fortemente em engenharia de dados e backend, com Golang como linguagem principal, uso intensivo de SQL e processamento distribuído com Spark/Databricks além de Trino/Superset. Nossa infraestrutura é baseada em AWS, utilizando serviços como S3, Lambda, Kubernetes, Glue, etc.
A observabilidade da plataforma é feita com Honeycomb e Grafana, integrados ao Ops Genie, garantindo visibilidade ponta a ponta.
- Development and maintenance of scalable and reliable services, primarily using Golang and other JVM-related or cloud-native technologies, with deployment on AWS.
- Own the development of efficient, readable, testable, and well-documented code aligned with the squad’s technical direction and business goals.
- Actively participate in all stages of the software development lifecycle, including technical planning, system design, hands‑on coding, testing, deployment, and production support.
- Lead the design and execution of robust testing strategies, ensuring high coverage of business logic and reliability across distributed systems.
- Proactively contribute to the growth of other engineers through code reviews, mentoring, knowledge sharing, and by fostering engineering excellence within the squad.
- Ensure system stability, performance, and reliability through proactive monitoring, observability practices, incident response, and participation in on‑call rotations.
- Execute and maintain infrastructure as code using Terraform, creating and managing AWS resources as needed.
- Collaborate closely with product and cross‑functional teams, participating in technical analysis to translate product requirements into high‑quality technical solutions.
- Monitor applications using logs, metrics, and tracing tools, identifying and resolving issues in distributed systems environments.
- Consistently contribute to technical decisions related to system design, scalability, performance, technical debt, and cloud cost efficiency.
- Keep up with emerging technology trends and contribute insights to squad‑level and collective‑level technical discussions.
- Be recognized for delivering high‑quality, impactful technical solutions within the team and across collectives.
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
QualificationsFor this role, you must be based in Brazil
Language SkillsProficiency in English at B1 level or above (Intermediate).
Technical Skills- 5+ years of experience as a Software Engineer, with proven experience working in production environments.
- Strong experience with Golang and adaptability to other languages and ecosystems.
- Advanced Git usage, including resolving complex version control and collaboration challenges.
- Strong expertise in debugging and troubleshooting across distributed systems.
- Proven experience conducting thorough code reviews with a focus on quality, performance, and cross‑domain impact.
- Solid testing expertise, including unit, integration, performance, and end‑to‑end tests in distributed systems.
- Experience designing and documenting APIs using tools such as Swagger/OpenAPI, flow diagrams, and technical documentation to support DEVEX and external consumers.
- Strong understanding of microservices architecture, including scalability, performance tuning, and cross‑team governance.
- Proficiency with AWS services such as SQS, SNS, S3, and Lambda, building cloud‑native and event‑driven architectures.
- Experience with Infrastructure as Code and deployment pipelines using tools such as Terraform, ArgoCD, Jenkins, Codefresh, or similar.
- Advanced usage of Docker and Kubernetes in production environments.
- Strong knowledge of relational databases (MySQL/Postgre
SQL) and data modeling, with familiarity in non‑relational data strategies. - Understanding of CI/CD pipelines, Git Ops practices, and observability concepts including monitoring, logging,…
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