Pessoa Engenheira de Software Sr - Integrações e APIs

As a Senior Software Engineer, you will design, build, and evolve APIs, services, and integration components that support products and platforms at scale.
You will participate across the full software lifecycle, from technical conception and development through production operations and continuous improvement.
The role combines hands-on engineering with API architecture, integration patterns, security, observability, resilience, and platform engineering.
You will work with technologies such as Java, Go, Node.js, REST APIs, webhooks, events, and messaging platforms to deliver reliable and maintainable solutions.
You will collaborate closely with product and engineering teams to translate business needs into scalable technical solutions and end-to-end deliveries.
The position also provides opportunities to shape engineering standards, shared integration components, API governance, and modern AI-enabled development practices.
This is a fully remote opportunity for professionals in Brazil within a technology-focused environment centered on innovation, collaboration, and continuous learning.

• Experience designing, documenting, versioning, and securing APIs, including OpenAPI contracts, authentication and authorization with OAuth2 and JWT, and integration between systems.
• Professional software development experience with Java, Go, or Node.js.
• Ability to gather requirements, investigate incidents, and interact with customers or support teams when required.
• Strong digital mindset and active curiosity about technology, with an interest in understanding how Artificial Intelligence can transform processes, experiences, and results.
• Experience with CI/CD, automation, and APIOps/GitOps is desirable, including automated validation pipelines, deployment strategies, and self-service approaches to API lifecycle governance.
• Experience with observability tools such as OpenTelemetry, Prometheus, Grafana, and Jaeger is a plus.
• Practical experience using AI tools such as LLMs and copilots for productivity, code review, and documentation is desirable.
• Interest or knowledge in Artificial Intelligence technologies, tools, applications, and concepts is valued.
• Strong collaboration, problem-solving, and communication skills, with the ability to work effectively across product, engineering, support, and other stakeholders.