Senior GPU Supercomputer Scheduler Engineer designing and implementing scheduling features for GPU compute clusters. Collaborating with technical leaders to optimize performance for advanced AI workloads.
About the role
- Engenheiro(a) de Integração na Johnson & Johnson para desenvolver soluções robustas de integração. Trabalhar em projetos críticos de sistemas na área de saúde e tecnologia.
Responsibilities
- Design and implement system integration solutions, including event-driven architectures, asynchronous messaging, and API orchestration.
- Develop and maintain REST/GraphQL APIs and integration services, ensuring security, scalability, and reliability.
- Create and optimize data exchange patterns between systems using queues, pub/sub, and middleware.
- Write automated tests for integration flows and maintain CI/CD pipelines to ensure deployment quality.
- Deploy integration components on AWS/Azure using containers or serverless architectures with IaC templates.
- Collaborate with global teams to define requirements and align architectural standards.
- Participate in design and code reviews, maintaining clear documentation on integration patterns and APIs.
- Apply corporate security and compliance standards across all solutions.
- Monitor application health with dashboards and alerts, supporting incident resolution.
- Fix defects, improve resilience, and manage configuration and secrets securely.
Requirements
- Degree in a technology-related field or equivalent practical experience.
- 3+ years of professional experience in software engineering (preferably full stack).
- Strong knowledge of Python or Node.js for integrations; proficiency with REST/GraphQL and relational/NoSQL databases.
- Hands-on experience with Git, CI/CD pipelines, and containerization (Docker); ability to deploy to AWS or Azure.
- Good testing practices, debugging skills, and attention to performance optimization.
- Knowledge of security fundamentals (OWASP, authentication/authorization, secrets management).
- Intermediate to advanced English (B2) for collaboration with global teams.
- Familiarity with developing LLM-based features using frameworks such as LangChain or LangFlow (desirable).
- Experience with TypeScript, Prisma/ORM, and Next.js (desirable).
- Knowledge of IaC tools (Terraform, CloudFormation) and exposure to Kubernetes/ECS (desirable).
Benefits
- Not mentioned
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