L3 Support Engineer (Python & Mongo DB)_
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Your Role
At Capgemini, the L3 Support Engineer (Python & MongoDB) operates as a senior technical escalation point, ensuring the stability, performance, and continuous improvement of critical production systems. This role combines deep technical expertise with a strong ownership mindset, enabling rapid resolution of complex issues while driving long-term reliability and optimization initiatives.
As a mid-to-senior professional, you are expected to work autonomously, influence technical decisions, and collaborate cross-functionally to elevate service quality and operational excellence.
Responsibilities & Scope
- Lead root cause analysis (RCA) efforts and implement sustainable fixes to prevent recurrence.
- Ensure high availability and performance of production systems through proactive monitoring and optimization.
- Design and develop automation scripts, monitoring tools, and diagnostic utilities to enhance support efficiency.
- Partner with development, DevOps, and infrastructure teams to improve system architecture and resiliency.
- Own incident lifecycle management, including triage, resolution, and post-mortem reporting.
- Provide technical mentorship to L1/L2 teams, fostering knowledge sharing and capability uplift.
- Contribute to continuous improvement initiatives, including process optimization and support model enhancements.
- Support on-call rotations, ensuring critical issues are handled with urgency and precision.
Your Profile
- Demonstrates advanced problem-solving and analytical thinking, navigating complex production environments with precision and accountability.
- Shows ownership and resilience, taking end-to-end responsibility for incident resolution and system stability in high-impact scenarios.
- Applies deep technical expertise in Python, MongoDB, and distributed systems, continuously driving performance and reliability improvements.
- Communicates with clarity and confidence, enabling effective collaboration across global, cross-functional teams.
- Embraces a mindset of continuous improvement and innovation, leveraging automation, best practices, and modern engineering approaches to elevate support excellence.
Job Description - Grade Specific :
- Has an entry level graduate with limited commercial and technical work experience. Build skills and expertise in the Software Engineering Discipline. Works to instructions and directions and delivers reliable results. Solves routine problems. Organises own time with a short time horizon.
What you’ll love
- Join global employee networks that promote engagement, development, and belonging 2.
- Access continuous learning through internal academies, certifications, and mentorship.
- Well-being hub and different wellbeing initiatives
Need to know
Career Development in Spanish & English: Training, certifications, and mentorship programs available in both languages to support bilingual growth.
Community Engagement: Participate in local volunteering initiatives, tech meetups, and cultural events that connect you with the Capgemini community.
About Capgemini
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.