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Manager Software Engineering

LexisNexis Risk SolutionsMumbai, IndiaPosted 19 May 2026

LexisNexis Risk Solutions is seeking an Engineering Manager to lead an AI R&D squad focused on scalable, secure software solutions. The role involves people leadership, providing hands-on technical guidance in Java, and architecting microservices. You will collaborate across product and engineering teams to deliver AI initiatives while championing DevOps and high-quality engineering practices. This position offers an opportunity to shape AI strategy within a mature global analytics environment.

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Experience

Experience not specified

Function

Engineering

Work mode

Onsite, India

Company

Tier 2

What you will work on

LexisNexis Risk Solutions is seeking an Engineering Manager to lead an AI R&D squad focused on scalable, secure software solutions. The role involves people leadership, providing hands-on technical guidance in Java, and architecting microservices. You will collaborate across product and engineering teams to deliver AI initiatives while championing DevOps and high-quality engineering practices. This position offers an opportunity to shape AI strategy within a mature global analytics environment.

TAL's take

Quality 65/1005/5 clarityTier 2 company

Solid tier-2 company with a well-defined management role involving AI/ML infrastructure and team leadership.

The JD clearly defines the management responsibilities, the squad-based team structure, and the technical domain of AI/ML services.

Must haves

  • Experience leading software engineering teams
  • Strong working knowledge of Java
  • Experience with microservices
  • Practical understanding of AI/ML concepts
  • Experience designing distributed systems
  • Knowledge of DevOps practices

Tools and skills

javamicroservicesai/mldistributed systemsapicloud platformsdevopsci/cdobservabilityapplication security

Nice to have: python, react, azure, generative ai, nlp.

About the company

Established global information and analytics firm, mid-tier in engineering brand perception compared to FAANG.

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