Lead Engineer - Application Governance & Escalation Support at VeoliaEnvironnementSA

Key Responsibilities: • Develop high-quality, scalable Python-based solutions that align with Veolias business objectives and technical requirements • Collaborate with business partners, stakeholders, and cross-functional teams to define and refine project requirements • Adopt and implement platform architecture, security standards, and Software Development Life Cycle (SDLC) processes • Ensure code quality, security, and performance through rigorous testing, including unit testing, integration testing, and automated testing frameworks • Mentor and provide guidance to junior engineers, fostering their professional growth and technical skills • Stay current with industry trends, emerging technologies, and best practices in Python development and software engineering • Take full ownership of projects from conception through delivery, ensuring timely completion and quality outcomes • Monitor all infrastructure and application alerts. • Provide application support, including minor fixes, data issues, and configuration issues. • Perform basic troubleshooting support. • Perform regular health checks of the applications. • Identify and run SOPs from the knowledge base to resolve issues. • Create SOPs for any new issues identified. • Post in respective Teams channels for any critical issues. • Provide weekend on-call support for critical incidents, outages, and severe system performance degradation.Required Skills: • Strong Python development skills with experience in at least one major framework (e.g., Django, Flask, FastAPI). • Proven experience with the AWS cloud platform and its core services, such as EC2, Lambda, SQS, RDS, and S3, cloud formation. • Hands-on experience with testing (unit/integration), relational databases/SQL • Strong troubleshooting and production support skills, including monitoring, incident response, and clear communication.Preferred Skills: • Experience with cloud platforms (Azure or GCP) and CI/CD pipelines. • Familiarity with Docker/Kubernetes and modern DevOps practices. • Background in enterprise production support, including critical incident management and SOP/runbook creation. • Experience with performance optimization, message queues/streaming, and/or ITIL- based processes.