GenAI DevOps Engineer

Position: GenAI DevOps Engineer 

About the Role

As a GenAI DevOps Engineer on our AI Engineering team youll be responsible for building deploying and maintaining the infrastructure and automation that powers our generative AI products. Youll work closely with software engineers and data scientists to ensure scalable secure and reliable operations across cloud environments with a strong focus on CI/CD observability and orchestration.

Core Responsibilities

CI/CD & Workflow Automation

• Design and maintain automated CI/CD pipelines for GenAI services using GitHub Actions Azure DevOps or Jenkins.
• Implement DevOps best practices including code linting testing and validation gates to ensure high-quality and secure deployments.
• Automate build test and release processes for GenAI components such as prompt orchestration scripts vector retrieval services and APIs.
• Integrate infrastructure updates into CI/CD workflows using Terraform or CloudFormation for version-controlled provisioning.

Deployment & Runtime Management

• Containerize GenAI services using Docker and deploy to Kubernetes clusters (AKS/EKS/GKE) for scalable and resilient operations.
• Deploy serverless applications using platforms like Cloud Run AWS Lambda or Azure Functions to optimize cost and performance.
• Implement safe rollout strategies (canary blue/green deployments) to minimize risk during updates.
• Manage runtime environments and ensure high availability and scalability of GenAI endpoints.

Monitoring & Alerting

• Instrument services with key metrics (latency throughput error rates) and structured logs.
• Build dashboards and alerts using Prometheus Grafana Datadog or cloud-native tools to monitor performance and detect anomalies.
• Support drift detection and regression monitoring for GenAI workflows.

Cloud Infrastructure & Automation

• Operate and optimize compute resources on Azure AWS or GCP including managed services like Databricks SageMaker or Vertex AI.
• Maintain Infrastructure-as-Code (IaC) for provisioning clusters storage and networking components.
• Ensure secure and compliant infrastructure with secrets management encryption and access controls.

GenAI Workflow Orchestration & Retrieval

• Use orchestration frameworks (e.g. LangGraph LangChain Langfuse) to automate GenAI workflows and prompt chaining.
• Support embedding-based retrieval pipelines including vector index maintenance and refresh processes.

Collaboration & Documentation

• Collaborate with cross-functional teams to integrate GenAI capabilities into production systems.
• Produce clear documentation including runbooks architecture diagrams and operational guides for on-call support and incident response.

Growth Areas & Nice-to-Have Skills

• Security & Compliance: API authentication (OAuth/JWT) secrets management (Key Vault AWS KMS) and data encryption.
• Testing & Validation: Data-quality checks adversarial testing and automated validation gates.
• Scalability & Cost Optimization: Load testing (Locust JMeter) spot-instance usage and caching strategies (Redis).
• Reliability Engineering: On-call rotations post-mortems SLOs and chaos testing fundamentals.
• Experimentation Lifecycle: Tracking experiments configuration sweeps and supporting A/B testing.
• Tooling Flexibility: Familiarity with alternative DevOps frameworks (Kubeflow TFX) and observability stacks (OpenTelemetry).

Required Qualifications

• 5 years in DevOps roles with at least 1 year supporting GenAI or AI-driven solutions.
• Hands-on experience with one major cloud provider (Azure AWS or GCP).
• Strong proficiency in Docker Kubernetes and serverless deployment strategies.
• Proven ability to build and maintain CI/CD pipelines and Infrastructure-as-Code.
• Experience with monitoring and alerting stacks (Prometheus/Grafana Datadog or cloud-native).
• Familiarity with GenAI orchestration tools and vector retrieval concepts.

Soft Skills

• Clear communicator who can bridge technical and non-technical teams.
• Strong problem-solver with the ability to troubleshoot across infrastructure data and application layers.
• Fast learner who thrives in dynamic iterative environments.

Additional Information :

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

About 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