Site Reliability Engineer

We are looking for a Site Reliability Engineer (SRE) to design implement and scale highly available cloud platforms and production systems. You will play a key role in improving reliability observability automation security and operational efficiency across complex cloud-native environments.

You will 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.

Responsibilities

• Design and implement scalable highly available cloud infrastructure supporting production workloads.
• Automate infrastructure provisioning scaling and lifecycle management using Infrastructure-as-Code.
• Lead reliability improvements across distributed cloud-native systems.
• Define and enforce SLIs SLOs SLAs and reliability standards.
• Manage 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.
• Implement 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.
• Implement cloud security identity access control and infrastructure governance best practices.
• Drive incident management root-cause analysis and operational improvement initiatives.
• Lead capacity planning performance optimization and reliability forecasting activities.
• Apply AI technologies to improve observability automate operational workflows generate runbooks and enhance troubleshooting processes.
• Mentor junior engineers and promote Site Reliability Engineering best practices.
• Partner with platform security and engineering teams to improve resilience and operational excellence.

Qualifications :

• 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.
• Strong expertise with Azure AWS GCP or hybrid-cloud platforms.
• Deep knowledge of Terraform Pulumi CloudFormation Bicep or equivalent Infrastructure-as-Code tooling.
• Strong 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.
• Strong understanding of reliability engineering concepts including SLOs SLIs SLAs error budgets and incident management.
• Experience with messaging systems and event-driven architectures.
• Strong knowledge of networking cloud security identity management and automation practices.
• Proven ability to troubleshoot performance scalability and reliability issues at scale.
• Experience leveraging AI-assisted solutions for observability automation operational analytics and runbook generation.
• Strong communication collaboration and mentoring skills.

Additional Information :

Preferred Qualifications

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

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