DevOps - CI/CD Deployment Engineer
2 days ago
Paris
Role: Deployment Engineer Location: Paris, France Contract: 02 Months Extendable Deployment Engineering • 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). AI Platform Integration & Optimization • Implement custom extensions, SDKs, and APIs to adapt the platform to customer-specific use cases., • Build tools, scripts, and microservices to handle data preprocessing, feature engineering, and real-time inference., • Optimize model serving, caching, and resource allocation for low-latency, high-throughput environments. Reliability, Security & Compliance • Architect solutions that meet enterprise-grade standards for resilience, observability, and scalability., • Ensure deployments adhere to security best practices (encryption, identity management, network security)., • Navigate compliance requirements such as SOC2, HIPAA, GDPR, and customer-specific regulatory constraints. Engineering Leadership & Technical Escalation • Serve as the senior technical lead on customer deployments, resolving complex engineering challenges., • Partner closely with customer engineering teams to embed the platform into production workflows., • Provide critical field feedback to product and core engineering teams on performance, scaling, and enterprise integration needs. Enablement & Knowledge Sharing • Create reusable deployment templates, automation scripts, and playbooks to accelerate future projects., • Mentor other Forward Deploy Engineers on advanced deployment patterns, DevOps practices, and ML systems engineering., • 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).