We are seeking a talented individual to join our Mercer Tech at Marsh Tech. This
role will be based in Gurugram. This is a hybrid role that has a requirement of
working at least three days a week in the office.
As a Lead Software Developer at Mercer, you will play a key role in shaping our future in
the rapidly evolving eld of, scalable Shared Services that incorporate AI capabilities.
Collaboration is essential, as you will work within a team that follows Scaled Agile
methodologies. We are seeking a self-motivated and delivery-focused individual with a
strong technology background, where experience in AI integrations and prompt
engineering will be advantageous, to help us grow our talent and drive innovation in this
exciting sector.
We will count on you to:
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Ensure Shared Service requirements are gathered accurately, fully understood,
and communicated clearly to all stakeholders, with transparency on impacts
and dependencies.
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Design, develop, and support secure, scalable backend and frontend services
using Phyton, Node.js, NestJS, TypeScript, and JavaScript.
Implement authentication and security solutions leveraging JWT, SAML/OIDC,
Okta integration, Microsoft EntraID and Passport / Passport-SAML concepts.
Build and maintain data persistence layers using Postgresql, MongoDB and
Mongoose to deliver robust and reliable application functionality.
Develop automated tests and support quality assurance practices using Jest,
NestJS testing patterns, class-validator, and class-transformer. Including
documentation, and usage guidance to ensure shared services are easy to
adopt, maintain, and support.
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Integrate applications using Express, including body-parser and cookie-parser,
and work eectively with NestJS guards, hooks, modules, and dependency
injection.
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Use Git, npm ecosystem, and environment conguration
management eectively to support local development, testing, and delivery.
Write high-quality, maintainable code aligned to Agile user stories and
established engineering standards, while leveraging AI development productivity
tools such as GitHub Copilot where appropriate.
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Troubleshoot and resolve development and integration issues, with a focus on
performance, authentication, and service interoperability.

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Provide technical guidance and mentorship to junior engineers, serving as a role
model and supporting their growth within the team.
Collaborate with peers to foster a culture of continuous improvement,
knowledge sharing, and engineering excellence.




Champion Agile practices that support e¢ective product delivery and robust
team collaboration.
Build and maintain strong relationships with product owners, solutions
architects, analysts, and leadership to ensure alignment of technical solutions
with business objectives.
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Leverage emerging technologies, including AI, to solve real-world challenges and
enhance our software solutions.
Provide technical support to consumers of the Shared Services for existing
issues and recommend enhancements to current solutions.
What is in it for you?
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Chance to work on enterprise-grade shared services used by multiple teams
(high visibility and impact).
Exposure to AI integrations and prompt engineering (advantageous/valued
experience).
Work with modern engineering practices: cloud-native architecture, CI/CD,
DevOps quality gates, security-rst delivery.
A culture of continuous improvement, learning, and knowledge sharing, with
scope to grow as a technical leader.
What you need to have:
We are seeking candidates with a proven track record in developing multiple
products/services, ideally those that incorporate AI technologies. The ideal candidate
will possess:
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Shared Services Mindset: Demonstrates a strong focus on building reusable
components and services that support multiple teams, reduce duplication, and improve
consistency across the platform.
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Strong Communication Skills: Ability to e¢ectively interact with both technical
and non-technical colleagues in a cross-functional environment.

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Strong Self-Starter and Team Contributor: A proactive individual who takes
initiative in their work, embraces a model of continuous learning to stay updated
with industry trends and technologies, and actively contributes to team success
by collaborating e¢ectively and sharing knowledge with colleagues.
Diverse Software Delivery Experience: A successful history of delivering
software across a variety of languages, technologies, and platforms, with
familiarity in AI frameworks and libraries being a plus.
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Agile Methodologies: Experience with Agile at Scale, Lean, and Continuous
Delivery methodologies to drive e¢icient development processes.




Cloud-Native Architecture Knowledge: Familiarity with cloud-native software
architectures, particularly in deploying solutions on platforms such as AWS and
Microsoft Azure, with an interest in AI applications.
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Security-Driven Design Practices: Understanding of security-driven design
principles and experience addressing SAST/DAST ndings, especially in relation
to AI data handling and model security.
CI/CD and DevOps Prociency: Prociency in CI/CD and DevOps practices,
including the use of Quality Gates to ensure high code quality.
Technical Skills or Qualications Required:
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Extensive Programming Experience: Proven experience with multiple
programming languages and frameworks, with deep expertise in at least one of
the following: JavaScript, TypeScript. Familiarity with AI programming languages
such as Python is a plus.
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Framework Prociency: Strong experience with frameworks such as Nest.js,
Express.js, and familiarity with AI frameworks like LangFlow or LangChain.
Prompt Engineering Skills: Solid experience with engineering prompts to
e¢ectively interact with AI models, optimizing their performance and output for
various applications.
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Testing Expertise: Procient in Unit Testing and Integration Testing, including the
ability to test AI solutions and their integrations e¢ectively.
Container Technologies: Experience with container technologies like Docker
and Kubernetes, to enhance scalability and e¢iciency.

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Middleware Technologies: Familiarity with any of these middleware
technologies such as Kafka, Camunda, Temporal, AWS Lambda Durable
function, AWS Step Function and RabbitMQ is needed.
Design and Development Practices: Demonstrated experience in refactoring,
implementing design patterns, design-driven development, continuous
integration, and application security.
SDLC Knowledge: Solid understanding of Software Development Life Cycle
(SDLC) processes and practices, with experience using tools such as SharePoint,
ADO, and GitHub.
Cloud Infrastructure Experience: Experience designing and deploying
applications/shared services on cloud infrastructure with providers like AWS,
including S3 storage.
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Stack Knowledge: Knowledge of the MEAN stack, with an interest in leveraging
this technology for AI-driven applications.
Senior developer with 7-11 years of experience in software development,
solution design and development, plus delivering high-quality technical
projects/services.
Location Preference: DLF, Gurugram

📌 Lead Software Developer (Noida)
🏢 Mercer
📍 Noida