Manager, Engineering
NielsenIQ- Location
- Chennai, TN, India
- Workplace
- Hybrid
- Employment
- Full Time
- Salary
- —
Posted 15d ago
Manager, Engineering (Full stack + AI)
Chennai/Pune
About the Job
The Engineering Manager within NIQ Analytics will report to the Director, Analytics Engineering and lead a high-performing team of software engineers in delivering scalable, AI-enabled product solutions. The role combines strong engineering leadership with hands on technical direction across Java, Spring Boot, Angular, Generative AI, and Agentic AI, driving modern architecture, engineering excellence, and successful delivery of innovative solutions for NIQ’s growing customer base. This is a hands-on leadership role requiring a balanced allocation of responsibilities, with approximately 50% focused on engineering leadership activities such as technical reviews, planning, stakeholder management, talent development, and delivery oversight, and 50% dedicated to hands-on software engineering, including architecture, coding, design reviews, technical problem solving.
Responsibilities
- Shapes best practices, coding standards, and software architecture at an organizational level
- Lead solutions that improve API services quality, performance, and reliability across the organization
- Lead solutions that improve Frontend – Angular code quality, performance, and reliability across the organization
- Lead the development of AI-powered solutions that enhance end-user experience, simplify workflows, and drive greater productivity.
- Adopt and improve efficiency gain by Adopting AI tools in SDLC
- Optimize computing cost, performance using the appropriate software engineering principles
- Work closely with PL, Arch, PMO, Interfacing teams to productionize features.
- Enforce DevSecOps practices - Secret, SAST, DAST
- Progressive coverage in unit testing.
- Develop engineering talent through coaching, technical mentorship, constructive reviews, and clear accountability for delivery outcomes.
- Lead design reviews, code reviews, and platform APIs roadmap discussions
- Leads without authority, influencing expertise, logical reasoning, and collaboration.
- Knowledge of technology standards and ability to convey key aspects to team members.
- Research, evaluate, and recommend emerging technologies, frameworks, and engineering practices that can strengthen the product and platform. • Excellent problem-solving skills.
- Uses AI to design automated reliability improvements, incident simulations, and scaling patterns.
- Makes technical decisions with a clear understanding of business impact, cost efficiency, and long-term sustainability.
- 10+ years of professional experience in Platform Engineering, building scalable frontends and API Services layer integrating with upstream and downstream
- Defined and evolved the technical strategy for large-scale distributed systems
- Balanced short-term delivery needs with long-term scalability and maintainability
- Should have experience in design, build, deploy, refactor enterprise grade applications
- Deep expertise in Angular, Java, Spring Boot, and Microservices.
- Good to have hands-on experience in Agentic AI development using frameworks such as LangGraph, LangChain, or Google ADK.
- Good to have hands-on experience building RAG-based applications and solutions.
- Good understanding of MCP (Model Context Protocol) and A2A (Agent2Agent) protocols
- Strong expertise Database (RDBMS, NoSQL, Mongo, Postgres, Snowflake)
- Hands on in tools for Caching, Queuing (Redis Cache preferred)
- Experience integrating LLM APIs such as OpenAI, Azure OpenAI, Anthropic, Cohere, Mistral, or equivalent providers.
- Experience in Modern cloud ecosystems with Azure/ AWS/ GCP
- Strong expertise in DevSecOps pipeline, quality gates, tools (code coverage, testing, sast, dast)
- Resolved cross-team challenges by fostering open and constructive conversations
- Experience working in agile methodologies and sprint planning. • Must have a bachelor's degree in computer science or equivalent.
Our Benefits
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- Employee-Assistance-Program (EAP)
NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative.For more information, please visit
NIQ’s AI Safety Policies and Guiding Principles
https://nielseniq.com/global/en/info/niqs-ai-safety-policies/
About NIQ
NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.
For more information, visit NIQ.com
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Our commitment to Diversity, Equity, and Inclusion
At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion
Skills
- Java
- Spring Boot
- Angular
- Generative AI
- SAST
- DAST
- LangGraph
- LangChain
- Google ADK
- Retrieval-Augmented Generation
- Model Context Protocol
- MongoDB
- PostgreSQL
- Snowflake
- Redis
- LLM
- OpenAI
- Azure OpenAI
- Anthropic
- Cohere
- Mistral
- Azure
- AWS
- GCP
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