MLOps / Backend Engineer

Xelerate

Porto

Híbrido

EUR 55 000 - 85 000

Tempo integral

Há 7 dias
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Vantagens oferecidas por esta oferta de emprego

Remote-friendly environment
Highly attractive salary and benefits
Great work-life balance

Resumo da oferta

Xelerate is seeking a backend/DevOps-focused engineer to turn AI prototypes into scalable, production-ready enterprise applications. You will own CI/CD pipelines, LLM observability, cloud infrastructure, and security to keep AI-powered services fast, reliable, and cost-efficient in production.

You will collaborate with the AI Solution Architect and engineering squad to transform PoCs into stable releases, drive deployment workflows on Azure, and ensure robust monitoring and incident

Qualificações

  • Solid background in software development, DevOps, or back-end engineering.
  • Hands-on experience deploying AI/ML systems to cloud environments.
  • Proficiency in Python, Streamlit, Docker, and Azure cloud deployment services.
  • Strong experience building CI/CD pipelines within Azure DevOps.
  • Autonomy and pragmatic problem-solving abilities.
  • Fluency in written and spoken English.

Responsabilidades

  • Transform AI prototypes and agent logic into production-ready, resilient, and scalable backend applications.
  • Architect, build, and maintain automated CI/CD pipelines and deployment workflows using Azure DevOps, Docker, and Azure App Service.
  • Implement comprehensive LLM observability, logging, alerting, and cost/quota management frameworks for live production agents.
  • Enforce cloud security, access control, and strict data protection policies across Azure infrastructure and container registries.
  • Manage operational risk and platform health, ensuring smooth system performance as the volume of parallel running agents increases.
  • Collaborate closely with the AI Solution Architect and engineering squad to streamline the handoff of PoCs into stable production releases.

Conhecimentos

Python
Streamlit
Docker
Azure
Azure DevOps
CI/CD
Cloud deployment
Observability
English

Ferramentas

Azure App Service
Azure Container Registry
Azure AI Foundry

Descrição da oferta de emprego

In this role, you will turn AI prototypes into scalable, secure, and production-ready enterprise applications. As the number of active AI agents grows, you will build and maintain a stable, high-performance platform. You will own CI/CD pipelines, LLM observability, cloud infrastructure, and security, ensuring that smart applications remain fast, reliable, and cost-effective in production.

Your Role and Responsibilities:
  • Transform AI prototypes and agent logic into production-ready, resilient, and scalable backend applications
  • Architect, build, and maintain automated CI/CD pipelines and deployment workflows using Azure DevOps, Docker, and Azure App Service
  • Implement comprehensive LLM observability, logging, alerting, and cost/quota management frameworks for live production agents
  • Enforce cloud security, access control, and strict data protection policies across Azure infrastructure and container registries
  • Manage operational risk and platform health, ensuring smooth system performance as the volume of parallel running agents increases
  • Collaborate closely with the AI Solution Architect and engineering squad to streamline the handoff of PoCs into stable production releases.
Your Skills and Experiences:
  • Solid professional background in software development, DevOps, or backend engineering, with hands‑on experience deploying AI/ML systems to cloud environments
  • Deep proficiency in Python, Streamlit, Docker, and Azure cloud deployment services (Azure App Service, Azure Container Registry, Azure AI Foundry)
  • Strong practical experience building CI/CD pipelines within Azure DevOps
  • A reliability-focused mindset with a passionate approach to uptime, monitoring, system resilience, and proactive incident communication#
  • High degree of autonomy, pragmatic problem‑solving abilities
  • Fluency in written and spoken English.
What you can expect from us:
  • Remote-friendly environment;
  • Highly attractive salary and benefits;
  • Great work-life balance and flexibility;
  • You will be part of a company where commitment, quality, and continuous improvement are core principles of our culture;
  • Highly engaged tech community;
  • International career opportunities;
  • Focus on individual development.
About us:

xelerate.tech is passionate about software, tech, and people. We aim to attract the most talented engineers to deliver high-quality software products through highly performant teams.

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