NielsenIQ: Site Reliability Engineer — Pune, MH, India

About NielsenIQ

NielsenIQ, also known as NIQ, works in consumer intelligence and retail measurement. Its employer material describes using market information, consumer insights and analytics to help businesses understand buying behaviour. Its data operations address the accuracy and completeness of information behind client reports, while analytical services interpret that information. The business connects details about products and retail activity with broader views of markets, giving organisations evidence for understanding demand and making commercial decisions.

The position and its setting

NielsenIQ lists Site Reliability Engineer in Pune, MH, India, under reference R26_0025410|IN. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Employment type: Full-time
• Employer listing date: 23 October 2026
• Brands: NielsenIQ
• Job Family: Site Reliability Engineering (SRE)

Responsibilities and work described

• A Site Reliability Engineer (SRE) to design, implement, and scale highly available cloud platforms and production systems
• Play a key role in improving reliability, observability, automation, security, and operational efficiency across complex cloud-native environments
• Work: with reliability initiatives, drive platform improvements, and partner with multiple engineering teams to build resilient, scalable services
• AI-enabled operations, observability, and automation will be core components of your approach to reliability engineering
• Design: and implement scalable, highly available cloud infrastructure supporting production workloads
• Automate infrastructure provisioning, scaling, and lifecycle management using Infrastructure-as-Code
• Leadership: reliability improvements across distributed cloud-native systems
• Define and enforce SLIs, SLOs, SLAs, and reliability standards
• Management: and optimize complex CI/CD pipelines including automated testing, blue-green deployments, and canary releases
• Optimize Kubernetes environments for availability, scalability, performance, and cost efficiency
• Implementation: comprehensive observability strategies including advanced monitoring, distributed tracing, logging, and alerting
• Troubleshoot and resolve large-scale reliability, latency, and performance issues
• Work: with event-driven architectures and technologies such as Kafka, RabbitMQ, or similar platforms
• Implementation: cloud security, identity, access control, and infrastructure governance best practices
• Drive incident management, root-cause analysis, and operational improvement initiatives
• Leadership: capacity planning, performance optimization, and reliability forecasting activities

Essential requirements and candidate background

• 3-5 years of experience in Site Reliability Engineering, DevOps, Cloud Engineering, or Platform Engineering
• Experience designing and operating scalable distributed systems in cloud environments
• Expertise with Azure, AWS, GCP, or hybrid-cloud platforms
• Deep knowledge of Terraform, Pulumi, CloudFormation, Bicep, or equivalent Infrastructure-as-Code tooling
• Kubernetes and container orchestration experience
• Experience operating and optimizing CI/CD and deployment automation platforms
• Expertise in observability platforms such as Dynatrace, Datadog, Prometheus, Grafana, OpenTelemetry, or New Relic
• Understanding: reliability engineering concepts including SLOs, SLIs, SLAs, error budgets, and incident management
• Experience: messaging systems and event-driven architectures
• Knowledge: networking, cloud security, identity management, and automation practices
• Ability to troubleshoot performance, scalability, and reliability issues at scale
• Experience leveraging AI-assisted solutions for observability, automation, operational analytics, and runbook generation
• Communication, collaboration, and mentoring skills

Preferred experience and additional strengths

• Cloud certifications (Azure, AWS, Google Cloud)
• Kubernetes certifications (CKA, CKAD, or equivalent)
• Experience: FinOps, cloud cost optimization, and governance
• Experience supporting mission-critical enterprise or SaaS platforms
• Exposure: AIOps, predictive monitoring, or AI-enhanced operations platforms

Location, schedule and contract conditions

• Work arrangement: On-site
• Advertised location: Pune, MH, India

Benefits mentioned by the employer

• 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/

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Site Reliability Engineer vacancy is not an offer for reference R26_0025410|IN; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to NielsenIQ

Applications follow the official employer page linked below.

Open the official NielsenIQ posting below and match the title and reference R26_0025410|IN.

Compare your qualifications and experience with the essential conditions for the Pune, MH, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Kubernetes

Kubernetes references can cover deploying workloads, managing configuration or operating a cluster. Explain which of those you did, how the application was packaged and how you investigated failures or verified a release.

Relevant skills

• Kafka
• Kubernetes
• CI/CD
• AWS
• GCP
• Azure
• AI/ML
• AI
• incident response
• root-cause analysis
• problem resolution
• Google Cloud
• Terraform