Senior MLOps Engineer

Senior MLOps Engineer

About NN Digital Hub

NN Digital Hub is a subsidiary company of NN Group located in Madrid, Spain. We deliver IT services and solutions for the different international Business Units.

About the Role

As we scale our agentic AI strategy, we need to transform Databricks Mosaic AI into a self-service platform that empowers AI engineers across business units. Your role is to build and productize AI capabilities — from RAG pipelines to model serving — and deliver them as scalable, governed, and developer-friendly services.

The Data Intelligence Platform is the runtime for models and agentic AI at NN. It runs on Databricks MLflow and Mosaic, deploying models and agents on Databricks serverless or NN's Kubernetes (Seldon) where needed. Mosaic Vector Search provides RAG for GenAI; the platform spans Azure and AWS to meet latency and proximity needs.

As Senior MLOps Engineer, you will standardize build→deploy→serve→monitor across these topologies and make production operations audit-ready by design.

Key Responsibilities

• Own CI/CD standards and environment promotion for models/agents: pipelines, approvals, artifact provenance, immutable releases, and rollback/canary patterns.
• Define the reference MLOps stack for the Agentic Platform: CI/CD patterns and environment promotion with approvals; serving topologies (Databricks serverless vs Kubernetes/Seldon) with decision records; evaluation & drift monitoring with MLflow/Mosaic; and SLO-based run operations.
• Standardize serving topologies: Databricks serverless vs Kubernetes/Seldon, with clear decision records, SLOs (latency/reliability), and cost/performance guardrails.
• Implement evaluation and monitoring: MLflow-based offline/online evaluation, drift/quality checks, and end-to-end telemetry dashboards for model/agent behavior and costs with all security & compliance basics in order.
• Integrate governance-by-design: enforce Unity Catalog lineage/policies and capture approvals and evidence in pipelines to support audits and marketplace readiness.
• Operate the Agentic Platform to SLOs: incident response/on-call, capacity planning, cost optimization, post-mortems, and continuous improvement of golden paths.

Your Impact

You will standardize build→deploy→serve→monitor across multiple topologies and make production operations audit-ready by design. You will integrate Unity Catalog lineage/policies into pipelines so teams meet governance requirements without friction and support the Run expansion.

Who You Are

Required experience:

• 5+ years in MLOps/SRE or platform engineering with production ML/AI workloads
• Deep experience with Databricks MLflow is highly preferred and enterprise CI/CD
• Design/operation of multi-env releases (dev→test→prod) with approvals, secrets, and identity
• IaC (Terraform/CrossPlane) and cloud networking on Azure and/or AWS
• Hands-on with evaluation/monitoring for models/agents
• Comfort with SLOs, incident response, and capacity/cost management
• Familiarity with tools like ArgoCD, Crossplane, Istio, Knative, Opensearch, Prometheus, and Grafana

Optional qualifications:

• Experience operating Kubernetes/Seldon for model serving and migrating toward Databricks Mosaic when appropriate
• Familiarity with agentic AI evaluation patterns (task success, tool reliability) and RAG observability (Vector Search health)
• Experience in multi-cloud operations and cross-region latency management
• Working knowledge of Unity Catalog lineage/policies and how they integrate with delivery pipelines and catalogs; ability to produce audit-ready evidence

What We Offer

Workplace & Flexibility:

• Hybrid working model
• Flexible working hours and 2 months of intensive working hours in summer so you can fully take advantage of your time
• Free parking lot for cars, motorbikes, electric cars with chargers, and bikes
• Starting financial aid so you can equip your workspace at home
• Allowance and telework subventions

Compensation & Benefits:

• Life insurance and pension plan for all employees
• Objectives bonus as a performance reward
• Flexible retribution facilities such as transport card, nursery checks, health insurance with Sanitas, trainings

Wellbeing & Development:

• Wellness Program available
• We care about people and facilitate volunteer actions and time to all employees
• Continuous development with a wide range of learning opportunities and generous training budget
• All teams work under agile methodology

NN Group Benefits:

• Work-life balance and diverse health and well-being offerings
• Meaningful impact through purpose-driven work
• Certified as a Top Employer for the 15th year in a row in 2026
• Diversity & Inclusion networks including NN Pride, NN Cultural Diversity Network, NN Young Professionals, Woman in Leadership Network, and NN Neurodiversity network

Commitment to Diversity

In Nationale-Nederlanden we are committed with diversity. We are proud to be an inclusive organization and we offer equal opportunities, regardless of race, cultural background, gender, gender identity, religion, national origin, age, disability, marital status, and sexual orientation. One of our core values is taking care of our employees so they can give their best within a respectful environment.

NN Netherlands is the head office of NN Group, a financial services group with over 180 years of history, helping people care for what matters most to them. We are committed to the financial, physical, and mental well-being of our colleagues and customers – through our products, services, and meaningful advice.

How to Apply

If you are a passionate and experienced Senior MLOps Engineer looking for an exciting opportunity to work in a dynamic and challenging environment, we encourage you to apply for this position. Please send your CVs in English language.