- We are looking for a skilled Engineering Support Level 2 (L2) professional to work closely with senior external clients, internal stakeholders, and engineering teams to resolve technical issues, improve client experience, and support ongoing product enhancements.

- This role requires strong problem-solving skills, hands-on debugging ability, and excellent communication with both technical and non-technical audiences.

Key Responsibilities :

- Investigate, troubleshoot, and drive resolution of support issues escalated from the L1 Helpdesk.

- Collaborate closely with engineering teams to resolve client issues efficiently and accurately.

- Communicate directly with senior external clients and internal stakeholders, ensuring timely updates and clear expectations.

- Influence product enhancements and contribute to roadmap discussions focused on improving the Marquee client experience, especially around portfolio analytics.

- Develop and maintain documentation, runbooks, and code snippets for internal teams and clients.

- Create automation scripts, debug tooling, and quality-of-life utilities to streamline support workflows.

- Analyze repeat issues and work toward automating or improving support processes.

Requirements :

- Strong hands-on experience coding and debugging in Python.

- Bonus experience : Java, AWS, and cloud-based debugging.

- Ability to debug API calls, create scripts, and write client-facing code snippets.

- Basic understanding of UI and API integrations.

- Excellent communication skills - clear, empathetic, and confident in client-facing conversations.

- Ability to manage high-priority client issues while simultaneously improving support workflows.

- Strong problem-solving mindset with a proactive approach to issue resolution and process automation.

Benefits :

- Cab service provided for commute convenience.

Desired Skills & Attributes :

- Strong technical debugging capability in Python and API workflows.

- Familiarity with cloud platforms (AWS preferred).

- Ability to explain technical issues clearly to clients and internal teams.

- Drive to automate repetitive tasks and improve operational efficiency.

- Professional presence and strong stakeholder management skills