[Job - 29617] Senior Devops, Brazil
BrazilOn-siteFull-time
AI Summary
Senior DevOps professional responsible for designing and implementing end-to-end AI-focused infrastructure, CI/CD pipelines, and scalable data/model architectures within an AI Solutions Architecture team.
About this role
We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.
With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality.
We are looking for experienced professionals in DevOps for a Senior DevOps position to work on a project in the AI Solutions Architecture team.
Responsibilities:
- Design and implement end-to-end AI architectures, including data pipelines, model orchestration, and scalable inference endpoints.
- Lead the evaluation and selection of AI technologies (e.g., OpenAI, Anthropic, Hugging Face) to optimize performance, cost, and latency.
- Architect robust frameworks for Retrieval-Augmented Generation (RAG) and agentic workflows, enhancing model accuracy and relevance.
- Establish best practices for MLOps and LLMOps, ensuring seamless CI/CD for AI models and maintaining rigorous version control.
- Collaborate with Data Scientists, Backend Engineers, and Product Leads to translate business goals into high-impact AI features.
- Implement security protocols and ethical guardrails for AI usage, focusing on data privacy, bias mitigation, and cost management.
Requirements for this challenge:
- A degree in Computer Science, Engineering, or a related field.
- Extensive experience as a DevOps Engineer with a focus on platform architecture and designing scalable infrastructure solutions.
- Experience with .Net and Terraform.
- Proficiency in building and optimizing CI/CD pipelines using Bitbucket, with an emphasis on automation and efficiency.
- Strong scripting and automation skills (Python, Bash, or similar) for creating scalable solutions.
- Hands-on experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Deep knowledge of cloud ( AWS, Azure, or GCP)with expertise in infrastructure provisioning and management.
If you are passionate about driving innovation in AI and shaping the future of infrastructure, we would love to hear from you!
Skills
AnthropicAWSAzureBashBitbucketCI/CDCloud InfrastructureData PipelinesDockerGCPHugging FaceInfrastructure ProvisioningKubernetesLLMOpsMLOpsModel OrchestrationOpenAIPolicy CompliancePythonRetrieval-augmented Generation (RAG)Security PracticesShell ScriptingTerraform
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