Lead Engineer - Application Governance & Escalation Support

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.