Descrição da Vaga
Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Key Responsibilities:
- Architect and implement scalable microservices-based solutions on AWS
- Collaborate with engineering, DevOps, and product teams to translate business requirements into technical blueprints
- Design and maintain infrastructure using Docker, Kubernetes, and related tools
- Ensure solutions meet both functional and non-functional requirements, including reliability, security, and performance
- Mentor stakeholders on cloud architecture best practices and emerging trends
- Document architecture decisions and communicate complex concepts with clarity to diverse audiences
- Troubleshoot and resolve architectural and deployment challenges throughout the project lifecycle
Required Skills and Qualifications:
- Expertise architecting and deploying microservices-based applications
- Deep hands-on experience with AWS core services and infrastructure as code
- Mastery of Docker and cloud-native container orchestration with Kubernetes
- Strong problem-solving abilities and analytical skills
- Exceptional written and verbal communication skills, able to convey technical concepts to both technical and non-technical stakeholders
- Proven ability to work independently in distributed, remote environments
- Bachelor's degree in Computer Science, Engineering, or related field, or equivalent relevant experience
Preferred Qualifications:
- Certifications in AWS (Solutions Architect, DevOps Engineer, or similar)
- Experience architecting large-scale, mission-critical enterprise systems
- Background in mentoring or leading cross-functional technology teams
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