30 days ago
Paris, FranceSenior
Responsibilities
- Design and implement execution environments, distributed scheduling, CPU/GPU cluster resource management, autoscaling, distributed systems, and high-volume low-latency microservices.
- Automate platform deployment, scaling, and monitoring with DevOps/SRE teams using Kubernetes, Terraform, and CI/CD.
- Implement APIs and platform services covering AI-agent ingestion, registration, execution, monitoring, and version management.
- Establish platform observability through logging, tracing, and metrics across all components.
- Ensure the reliability, observability, performance, and economic efficiency of the platform at large scale.
Requirements
- Bac+5 engineering or university education in computer science, distributed systems, software engineering, or equivalent experience.
- More than 10 years of software engineering experience, with a strong focus on cloud infrastructure and platform development.
- Proven production expertise in distributed systems, including Kafka or distributed HPC computing frameworks.
- Expert proficiency in at least one modern language such as .NET, Python, or Rust.
- Deep practical experience with container orchestration using Kubernetes and Knative, cloud platforms including Azure and AWS, and infrastructure as code with Terraform.
- Experience building high-throughput APIs using REST or gRPC and developing platform service interfaces.
- Good understanding of networking, security, and performance optimization for data-intensive applications.
- Operational English proficiency is required.
- Experience with MLOps, LLMOps, AI-agent or ML-model execution systems, agent frameworks, LLMs, MCP, A2A, HPC, GPU virtualization, or leading AI software/LLM-framework companies is a differentiator.
Benefits
- Permanent CDI employment only; freelance arrangements are not considered.
- Hybrid work model requiring three days per week onsite at the client or Cognizant premises in Île-de-France.
- Ideal availability is September, subject to the candidate's situation and project timelines.
- The recruitment includes an interview with the client because the role is recruited for a client mission.
- The company supports work-life balance and aims to provide flexibility subject to project needs.
Tech Stack
About Cognizant
Cognizant is a public IT services and consulting firm that designs, builds, and runs enterprise technology, including digital engineering, cloud modernization, data/AI, and managed services. It sells consulting, systems integration, and outsourcing on multi-year engagements to large enterprises in healthcare, banking, retail, communications, and manufacturing. Founded in 1994 and headquartered in Teaneck, New Jersey, Cognizant is NASDAQ-listed (CTSH) and a Fortune 500 company.