L 2.5 Support Engineer

Indium Software · Hyderabad

Source and collection record

Last observed by our collector: 8 October 2026 at 11:34 pm IST. This is not a manual review or a confirmation from the employer.

Employer requisition: 668572000060646561

Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.

How sourcing and classification work · Report a discrepancy

Your application evidence checklist

Mark the statements you can support after reading the employer source. This checklist stays on this page; it does not score your eligibility or submit an application.

Attendance and availability: I checked the employer page for work location, office attendance, start date and duration.Current requisition: I checked the current employer requisition and its application requirements.

0 of 2 checks marked. Keep unresolved requirements as questions for the employer.

Collected role description

Job Title: L2.5 Support Engineer – Investment Management Platform Experience: 5+ Years Job Description: • Provide L2.5 production support in MSP or Investment Management/Financial Services environments • Troubleshoot and support investment systems, market data feeds (Bloomberg, Reuters), and portfolio analytics platforms • Act as a rapid-response resource for live trade execution environments ensuring minimal downtime and SLA adherence • Support integrations with Aladdin, SimCorp, Calypso, FactSet, or similar IM platforms • Monitor and manage system-to-system data flows and API integrations • Work with Python/PLSQL scripting and Kubernetes for operational support activities • Collaborate with development and support teams following SDLC processes • Participate in 24x7 on-call support rotations Required Skills: • Strong domain expertise in Investment Management / Capital Markets (mandatory) • Experience in L2.5 production support within MSP or financial services environments • Knowledge of market data systems and trading support operations • Strong understanding of data engineering concepts and API management • Exposure to Python, PL/SQL, and Kubernetes • Familiarity with Git/Bitbucket, SDLC processes, and test automation • Strong analytical, troubleshooting, and communication skills

Collected experience requirement

5 years