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Deployment Engineer

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Role: Deployment Engineer

Location: Paris, France

Contract: 02 Months Extendable

  • Lead the
    end-to-end technical implementation
    of the Agentic platform in enterprise environments.
  • Design and build robust
    integration pipelines
    , connecting customer data sources, APIs, and systems of record to the platform.
  • Deploy and scale
    machine learning models
    in production, ensuring performance, reliability, and monitoring.
  • Automate deployments using
    CI/CD pipelines, infrastructure-as-code, and container orchestration
    (Docker, Kubernetes).
  • Engineering Expertise 10+ years in software engineering, infrastructure engineering, or applied ML engineering.
  • Strong proficiency in
    Python
    ,
    TypeScript/JavaScript
    , or other backend languages.
  • Experience deploying systems on
    cloud platforms
    (AWS, GCP, Azure) using Kubernetes and serverless frameworks.
  • Deep understanding of
    API design, distributed systems, and data engineering workflows
    .
  • Hands-on experience operationalizing
    ML models
    in production (TensorFlow, PyTorch, Hugging Face, or custom inference engines).

DevOps & Infrastructure

  • Strong background in
    CI/CD pipelines, infrastructure as code (Terraform, Helm, Ansible)
    .
  • Skilled in setting up
    monitoring, observability, and alerting
    (Prometheus, Grafana, ELK, Datadog).
  • Familiarity with performance profiling, scaling strategies, and SRE principles.

Security & Compliance

  • Experience working in environments subject to
    compliance frameworks
    (SOC2, HIPAA, GDPR).
  • Awareness Knowledge of
    enterprise SaaS security models
    (SSO, RBAC, encryption, API security).