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. 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. 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 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 Want to keep up with our latest updates? 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