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Société Générale · Bangalore, India

# Lead Software Engineer - Java / Big-data

Bangalore, India Contract or temporary Manager or lead Software Engineering 

Listed on Société Générale’s official careers site. Posted September 29, 2026. Check that it is still open and apply there.
[Apply on Société Générale’s careers site →](https://careers.societegenerale.com/en/job-offers/lead-software-engineer-java-big-data-26000E0N-en)

[OpenNash Jobs](https://jobs.opennash.com/) / [Société Générale](https://jobs.opennash.com/companies/societe-generale/) / Lead Software Engineer - Java / Big-data

## Job description

### Responsibilities
- Design, development and testing of components / modules in TOP (Trade Open Platform) involving Spark, Java, Hive and related big-data technologies in a datalake architecture
- Contribute to the design, development and deployment of new features & new components in Azure public cloud
- Contribute to the evolution of REST APIs in TOP – enhancement, development and testing of new APIs
- Ensure the processes in TOP provide an optimal performance and assist in performance tuning and optimization Release & Deployment – Deploy using CD/CI practices and tools in various environments – development, UAT and production and follow production processes.

Ensure Craftsmanship practices are followed Follow Agile@Scale process in terms of participation in PI Planning and follow-up, Sprint planning, Back-log maintenance in Jira.
- Organize training sessions on the core platform and related technologies for the Tribe / Business line to ensure the platform evolution is continuously updated to relevant stakeholders

## At a glance
- Posted by the employer: Sep 29, 2026
- First seen by OpenNash: Oct 11, 2026
- Last checked: Oct 18, 2026
- Listed for: 19 days
- Location: Bangalore, India
- Employment type: Contract or temporary[Apply on Société Générale’s careers site →](https://careers.societegenerale.com/en/job-offers/lead-software-engineer-java-big-data-26000E0N-en)

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Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

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