A

AI DevOps/Platform Engineer

arcus search • Portugal
Remote
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AI Summary

We are seeking an AI DevOps/Platform Engineer to support the delivery of enterprise AI solutions by building and managing cloud infrastructure, deployment pipelines, and data integration platforms. The ideal candidate will have experience in DevOps, Platform Engineering, Cloud Engineering, or Infrastructure Engineering. Strong hands-on experience with AWS and Terraform is required.

Key Highlights
Support the delivery of enterprise AI solutions
Build and manage cloud infrastructure, deployment pipelines, and data integration platforms
Experience in DevOps, Platform Engineering, Cloud Engineering, or Infrastructure Engineering
Key Responsibilities
Provision secure cloud environments
Automate deployments
Integrate data sources
Ensure AI-powered applications are scalable, monitored, and production-ready
Technical Skills Required
Amazon Web Services Terraform Python
Benefits & Perks
Remote work
Contract length: 6 months initially + further extension
Nice to Have
Experience supporting AI/LLM applications
Experience with AI observability and evaluation tools

Job Description


Job Title: AI DevOps / Platform Engineer

Location: Portugal (Fully Remote) - Must be based in Portugal to be considered

Start Date: ASAP

Contract Length: 6 months initially + further ext


We are seeking an AI DevOps / Platform Engineer to support the delivery of enterprise AI solutions by building and managing the cloud infrastructure, deployment pipelines, and data integration platforms that enable AI applications to run reliably in production. You will work alongside AI Engineers and client teams to provision secure cloud environments, automate deployments, integrate data sources, and ensure AI-powered applications are scalable, monitored, and production-ready.


Key Requirements:

  • 2+ years’ experience in DevOps, Platform Engineering, Cloud Engineering, or Infrastructure Engineering.
  • Strong hands-on experience with AWS and Terraform (Infrastructure as Code).
  • Experience with Kubernetes/EKS, Docker, and CI/CD pipelines.
  • Good understanding of AWS services including EKS, ECR, RDS, S3, SQS, IAM, and networking.
  • Experience supporting production cloud environments with a focus on security, governance, monitoring, and reliability.
  • Experience building and maintaining data integration pipelines, ideally with Snowflake (Cortex experience is a plus).
  • Strong Python and SQL skills for automation and tooling.
  • Comfortable working in agile, client-facing delivery teams.


Desirable:

  • Experience supporting AI/LLM applications (Amazon Bedrock, RAG, MCP servers, vector databases).
  • Experience with AI observability and evaluation tools such as Langfuse or LangSmith.
  • AWS certifications.
  • Experience working in regulated industries.



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