Key skills
AWSAzureCloudGoogle Cloud PlatformPythonTypeScriptGoAIMLGenerative AIOpenAIAnthropicRAGLangChainMLOpsGCPGoogle CloudGitHubEvent Streaming
About this role
Role Overview
- Implement and evolve the Developer Experience platform (Backstage, Port, Humanitec or similar).
- Build internal tools that accelerate development (CLIs, portals, automations).
- Define architectures for complex platform solutions.
- Establish architectural standards consumable by all teams.
- Lead strategic DevEx and innovation initiatives.
- Implement AI solutions to optimize engineering processes.
- Build custom assistants and copilots tailored to Grupo Primo’s context.
- Develop intelligent automations (code review, test generation, static analysis).
- Implement ML-based recommendations (rightsizing, pipeline optimization).
- Integrate LLMs and AI tools into development workflows.
- Measure the impact of AI on productivity metrics (DORA, DevEx, cost savings).
- Deliver tech talks and workshops on AI, architecture and DevEx.
- Mentor DevOps and SRE engineers on advanced solutions.
- Document architectural patterns and technical decisions (ADRs).
- Create proofs of concept and validate technical feasibility.
- Present results in monthly reviews and all-hands meetings.
Requirements
- Software Architecture: design of distributed systems, microservices and event-driven architectures.
- DevEx Platforms: experience with Backstage, Port, Humanitec or building developer portals.
- AI and LLMs: hands-on experience with SDD, Vibe Coding, n8n, OpenAI, Anthropic, LangChain, prompt engineering and RAG.
- Cloud: expertise in AWS (or GCP/Azure) — architecture, optimization and best practices.
- Languages: proficiency in Python, Go or TypeScript.
- APIs and Integrations: API design, webhooks, event streaming and complex integrations.
- Observability: design of logging, tracing, metrics and dashboards.
- Generative AI: fine-tuning, embeddings, vector databases and agents.
- AI Platforms: GitHub Copilot, Cursor, Codeium or building custom copilots.
- ML/MLOps: deployment, monitoring and retraining of models.
Tech Stack
- AWS
- Azure
- Cloud
- Google Cloud Platform
- Python
- TypeScript
- Go
Benefits
- Competitive salary and above-market variable compensation tied to performance goals
- Meal and food vouchers available via iFood Card
- SulAmérica health insurance
- Bradesco dental plan
- WellHub and TotalPass
- Life insurance
- Commuting allowance (Vale Transporte)
- Childcare assistance
- Access to Grupo Primo platforms