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Staff Software Engineer (f/m/d)
Decathlontechnology
Contract type
Ongoing
Work mode
On-site · On-site (see listing for address)
Experience
Lead / principal · Not stated
Level inferred from job title
Job description
Key details
- Standardize software engineering methods for the entire Data & AI Platform and spread best practices through Decathlon's digital expert communities
- Provide a rigorous software framework for key Factory applications, including ARC and the Data Contract Registry
- Develop complex software components (APIs, internal SDKs, microservices) to equip Data, MLOps, and GenAI squads
- Design the technical architecture ensuring smooth, secure, and high-performance interconnection for the agentic platform
- Bring software engineering expertise to the RACE project, packaging and deploying APIs over the Datalake (Gold / Insight layers)
- Guarantee high availability, security, and scalability of these APIs to streamline operational and application use cases
- Explore and experiment with new real-time Analytics Engineering architectures using the Kafka / Streaming ecosystem
- Guide architecture choices with a strong FinOps reflex, continuously optimizing dbt / Databricks execution performance and associated infrastructure costs
- Proactively identify technical debt across the Data Platform and orchestrate its remediation with product and engineering teams
- Company mission
- Information not specified
Primary stack
Core technologies
AWSGoogle Cloud Platform (GCP)TerraformDockerKubernetes
Benefits
- Information not specified
Requirements & details
- Solid experience in software engineering with a passion for best development practices (SOLID, TDD, Design Patterns, Modeling)
- Platform Engineering culture: ability to build "products for developers" (clean APIs, careful documentation, robust SDKs)
- Product and FinOps mindset: oriented toward business value, ease of use for end users, and cost-effectiveness of architecture choices
- Knowledge of the Kafka / Streaming ecosystem
- Individual Contributor track with technical leadership and mentoring responsibilities, no direct team management
- Based in Lille
- AWS, GCP, Databricks, Delta Lake, LLMs, AI Agents, MLFlow, Airflow, Terraform, Docker, Kubernetes, Kafka
- AWS
- Google Cloud Platform (GCP)
- Terraform
- Docker
- Kubernetes