Block
Software Engineer, Cash App- Lending Products
Vaga remota de 10102 Engineering - Cash App com fit claro de localização do candidato.
PublicadaAdicionada recentemente
Países elegíveis27 países aceitos
Sinal de senioridadeNível aberto
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Resumo da vaga
Software Engineer, Cash App- Lending Products
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
You Will
- Partner closely with credit risk, legal & compliance, product managers and other engineers to take the Lending capability to the next level.
- Lead or contribute to projects from hypothesis to production capability, ensuring ownership of the output quality.
- Build financial primitives by acting as an IC or lead on atomic, composable, API-level building blocks that serve the Block's intelligence layer.
- Take a developer-centric approach to designing and building clean APIs, optimizing strictly for uptime, latency, regulatory compliance, and cost-per-transaction.
- Experiment with emerging approaches and support team capability by sharing learnings and providing feedback.
- Operate and manage existing Cash services.
- Make recommendations to improve the team and wider Engineering practices.
- Help interview candidates, organize external recruiting/networking activities, and contribute to the broader tech and open-source communities.
You Have
- Embrace an AI-first mentality. Leverage AI to augment your knowledge and capability in navigating development in complex systems with confidence.
- Familiar with agentic engineering.
- 5+ years working on complex systems and delivering quality software, with clear expertise developed in one or more technical areas.
- Curiosity that pushes you to find flaws in complex systems and take whatever steps are necessary to fix them.
- Resilience to persevere in complex situations across multiple axes: e.g., scale, uncertainty, and interconnectedness.
- Self-directed and comfortable with ambiguity, with a willingness to publish your reasoning and be wrong publicly—which is essential for thriving in our transparent DRI/IC model.
Technologies We Use and Teach
- Java, Kotlin
- AWS
- HTTP, JSON, gRPC, Protocol Buffers
- OkHttp, Jetty, JUnit, Guice
- Hibernate, jOOQ, Aurora, MySQL, DynamoDB, Redis, Vitess
- Kafka, event-driven architecture, microservices
- DataDog
- Buildkite, Gradle
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