NielsenIQ

Site Reliability Engineer

NielsenIQ Chennai, Tamil Nadu, India

Software Development · 10,001+ employees

5 h ago
sre Senior (5-10 yrs) Full-time India
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About the role

The role involves designing and managing Azure Kubernetes Service environments and building CI/CD pipelines using GitHub Actions. Additionally, the candidate will develop data engineering pipelines and support production systems through troubleshooting and performance optimization.

What they look for

Azure Kubernetes CI/CD GitHub Actions Apache Airflow Azure Databricks Power BI Infrastructure as Code Terraform ARM Templates Log Analysis Troubleshooting Incident Management Monitoring Cloud Engineering Data Engineering

Requirements

Candidates must have 5+ years of experience in DevOps or Data Engineering with advanced proficiency in Azure, Kubernetes, and CI/CD tools. Strong problem-solving skills and experience in production support and monitoring are essential for this position.

Benefits

Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program

Full description

Job Description

Job Summary: 

We are seeking a highly skilled and hands-on Senior DevOps / Data Engineer with strong expertise in Azure cloud, Kubernetes, CI/CD automation, and modern data engineering tools. The ideal candidate will have deep experience in designing, building, and managing cloud infrastructure, developing GitHub Actions pipelines from scratch, and supporting production environments with a focus on troubleshooting, performance optimization, and incident resolution. 

Key Responsibilities: 

  • Design, implement, and manage Azure Kubernetes Service (AKS) environments for scalable applications 
  • Build and maintain CI/CD pipelines using GitHub Actions, including developing workflows from scratch 
  • Work extensively with Azure Cloud (IaaS & PaaS) to provision, configure, and manage infrastructure 
  • Set up and maintain lower environments (Dev/Test) and contribute to production environment deployments 
  • Design, develop, and maintain data engineering pipelines using:  
  • Apache Airflow 
  • Azure Databricks 
  • Develop and maintain Power BI dashboards and reporting solutions 
  • Perform daily troubleshooting, log analysis, and root cause analysis across applications and infrastructure 
  • Support and maintain production systems hosting multiple applications 
  • Handle and resolve user queries, incidents, and service requests in a timely manner 
  • Collaborate with cross-functional teams to ensure system reliability, scalability, and performance 

 

Qualifications

  • Azure Kubernetes Service (AKS) – Advanced (8/10 proficiency) 
  • GitHub Actions (CI/CD) – Advanced (8/10 proficiency), including pipeline creation from scratch 
  • Microsoft Azure (IaaS & Infrastructure Management) – Advanced (8/10 proficiency) 
  • Data Engineering Stack:  
  • Apache Airflow 
  • Azure Databricks 
  • Power BI – Dashboard development and reporting 
  • Strong expertise in production support, monitoring, and incident management 
  • Excellent log analysis and debugging skills 
  • Experience working in multi-application production environments 

 

Desired Candidate Profile: 

  • 5+ years of hands-on experience in DevOps, Cloud Engineering, or Data Engineering roles 
  • Proven experience building and managing end-to-end cloud and CI/CD solutions 
  • Strong problem-solving skills with a proactive approach to troubleshooting 
  • Ability to work in high-pressure production environments 
  • Excellent communication skills and experience handling user queries and stakeholder interactions 
  • Self-driven with ownership mindset and continuous learning attitude 
  • Experience in monitoring tools (Kube Prometheus Stack, Azure Monitor, Log Analytics, etc.) 
  • Familiarity with security best practices and tools such as, cycode, codeQL, wiz. 
  • Exposure to infrastructure-as-code tools (e.g., Terraform, ARM templates) 

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 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

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