# Senior Development Manager at LSEG

LSEG is hiring a Senior Development Manager in Bengaluru, India. Level rates it Little AI ●○○○; you can [apply on Level](https://jobsbylevel.com/go/404ca9c3-0fae-4750-aa60-3e2500820eeb?utm_medium=ai-agent).

AI Level 1, AI centrality 9 out of 100. IND-Bangalore-A, RMZ Infinity.

## Details

- Company: [LSEG](https://jobsbylevel.com/companies/lseg)
- AI level: AI Level 1 (score 9 out of 100)
- Location: IND-Bangalore-A, RMZ Infinity
- Posted: October 19, 2026
- Apply: https://jobsbylevel.com/go/404ca9c3-0fae-4750-aa60-3e2500820eeb?utm_medium=ai-agent

## Prepare for this job

The job page lists 2 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/senior-development-manager-at-lseg-8bcce5

## Description

Senior Engineering Manager, GG14, Software and Platform Engineering Are you an experienced engineering leader passionate about modernising complex, data-intensive platforms? Do you want to lead engineering teams that support the sourcing, validation, enrichment and delivery of high-value Commodities pricing and fundamentals data? If yes, we would love to talk to you. About the Role We are looking for a Senior Engineering Manager to lead the engineering teams that power Commodities Content Operations in LSEG. This role sits at the intersection of Engineering, Product, Data and Operations, with responsibility for modernising platforms, improving data quality and reliability and accelerating the adoption of AI-driven and cloud-based capabilities across content operations. You will lead teams responsible for the applications, platforms and automation capabilities that support the onboarding, management, transformation and distribution of Commodities pricing and fundamental data. The role combines people leadership, engineering strategy, platform modernisation and operational excellence. What You Will Do Lead and develop high-performing software and data engineering teams. Define and implement engineering roadmaps aligned to business, product and customer priorities. Drive modernisation of legacy applications and services while ensuring operational stability. Partner with Content Operations, Product, Data Strategy, Engineering and Architecture teams to deliver scalable and resilient solutions. Build platforms and automation capabilities that improve operational efficiency, data quality and customer outcomes. Establish standard methodologies across software engineering, DevOps, observability and service management. Drive adoption of AI and intelligent automation to reduce manual effort and improve productivity. Develop and implement technical debt reduction strategies, including application rationalisation, code modernisation and technology upgrades. Improve platform reliability, resilience, monitoring and recovery capabilities. Foster an engineering culture focused on innovation, teamwork, accountability and continuous improvement. Technology Environment The successful candidate will operate across a diverse technology landscape, including: Microsoft Azure and cloud-native services Databricks and modern data platforms Python and API-driven architectures Data engineering and large-scale data processing pipelines CI/CD, DevOps and Infrastructure-as-Code practices Observability and monitoring platforms such as Datadog AI, automation and intelligent workflow solutions Legacy platform modernisation and cloud migration programmes What We Are Looking For Significant experience leading software, platform or data engineering teams (6-7 years). Proven success delivering large-scale technology transformation and modernisation initiatives. Strong understanding of software engineering, cloud technologies, platform engineering and operational resilience. Experience managing technical debt, application lifecycle management and engineering risk. Experience working across modern cloud and data platforms (Azure, Databricks), software engineering technologies (Python), DevOps and observability tooling (CI/CD, Datadog), APIs, distributed data architectures, and large-scale platform modernisation programmes is highly desirable. Experience in AI and emerging technologies, with experience identifying and applying innovations such as generative AI, intelligent automation and advanced analytics to improve engineering productivity, data quality, operational efficiency and customer outcomes. Strong stakeholder management skills and the ability to influence across Engineering, Product and Business teams. Experience building and developing high-performing engineering organisations. Passion for innovation, customer outcomes and continuous improvement. Why Join Us? This is a unique opportunity to help shape the future of Commodities data platforms, leading

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