Principal Software Engineer with Java, Spring boot & Azure cloud

Principal Software Engineer Pune

We are looking for a Principal Software Engineer who defines and drives the technical strategy for largescale distributed and cloudnative systems. This role operates at a company and platform level designing foundational architectures enforcing engineering standards and leading complex technical transformations that impact multiple teams and products.

You will act as a technical authority and architect balancing shortterm delivery needs with longterm scalability reliability security and cost efficiency. This role requires deep handson expertise in Java Python SQL distributed systems cloud platforms and modern DevSecOps practices along with the ability to guide teams in AIdriven development and generative tooling adoption.

Responsibilities

• Define and evolve the technical strategy for largescale distributed and highavailability systems
• Design foundational platforms frameworks and shared services that impact multiple teams
• Lead architectural transformations for legacy systems and largescale applications
• Drive systemwide decisions with a strong focus on scalability performance resilience security and maintainability
• Translate ambiguous business requirements into robust futureproof technical architectures
  
  Platform Governance & Engineering Standards
•  Develop and enforce governance policies for APIs security cloud infrastructure and system integrations
• Define companywide best practices for engineering quality reliability observability and efficiency
• Establish architectural guardrails to ensure consistent design and implementation across teams
• Drive adoption of security compliance and infrastructure automation best practices
  
  Cloud DevSecOps & Cost Optimization
•  Establish strategies for costefficient cloud resource utilization scaling and performance optimization
• Architect standardized CI/CD frameworks used across multiple teams
• Define DevSecOps guardrails ensuring secure compliant and consistent delivery pipelines at scale
• Champion InfrastructureasCode automation and operational excellence
  Data Streaming & Distributed Systems
•  Provide technical leadership in largescale data processing streaming architectures and messaging systems
• Design and evolve systems using Kafka queues async processing and eventdriven patterns
• Guide teams on concurrency fault tolerance backpressure handling and system resilience
  
  AI & Engineering Innovation
•  Guide teams in AIdriven development practices including the responsible use of Generative AI tooling
• Evaluate AI and GenAI technologies for quality scalability security and real business value
• Design and integrate AI/ML capabilities into systems from a platform and application engineering perspective
• Champion innovations that improve developer productivity automation and engineering efficiency
  Technical Leadership & Collaboration
•  Act as a technical mentor and design authority for senior and midlevel engineers
• Engage in deep technical problemsolving influencing systemwide technical decisions
• Collaborate closely with Product Security Operations and Platform teams
• Lead by example through handson design reviews architectural guidance and complex issue resolution
  
  Required Technical Skills: Core Engineering 
•  Java (Spring Boot REST Microservices JVM internals)
• Python (core Python scripting automation data processing)
• SQL (advanced querying schema design performance tuning)
• Strong knowledge of Data Structures Algorithms and System Design
• Scripting languages (Shell Bash or similar)
  
  Systems & Platforms
• Distributed systems concurrency fault tolerance scalability patterns
• Cloud platforms (Azure / AWS / GCP) and cloudnative architectures
• Containers and orchestration (Docker Kubernetes)
• CI/CD DevSecOps InfrastructureasCode
• Messaging and streaming systems (Kafka eventdriven architectures)
  
  AI / Data (Working Knowledge)
• Experience integrating AI/ML or GenAI APIs into production systems
• Understanding of data pipelines model deployment and operational AI concerns
• Ability to assess where AI adds value versus unnecessary complexity

Qualifications :

• Must have 1015 years of handson software engineering experience
• Proven experience designing and operating enterprisegrade largescale systems
• Demonstrated impact at Staff / Principal / Architect level
• Strong background in influencing architecture across multiple teams or platforms
• Bachelors or masters degree in computer science or related field

 Leadership & Soft Skills

• Exceptional analytical and problemsolving skills
• Strong written and verbal communication
• Ability to influence without authority at a company level
• Product mindset with focus on customer impact and sustainability
• High ownership accountability and bias for action

  Nice to Have

• Experience with Spark largescale analytics platforms
• Exposure to security compliance and data privacy frameworks
• Proven experience driving organizationwide technical initiatives
• Prior role as Principal / Staff Engineer or Platform Architect

Additional Information :

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 NIQs 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 NIQs AI Safety Policies and Guiding Principles: NIQ

NIQ is the worlds leading consumer intelligence company delivering the most complete understanding of consumer buying behavior and revealing new pathways to 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 insightsdelivered with advanced analytics through state-of-the-art platformsNIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100 markets covering more than 90% of the worlds population.

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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  Work :

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Employment Type :

Full-time