Senior AI Engineer - CD Visibility
Datadog
Municipality of Madrid, Spain
21 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Municipality of Madrid, Spain
Tech stack
API
Artificial Intelligence
Continuous Delivery
Continuous Integration
Octopus Deploy
Service Design
Spinnaker
Datadog
Large Language Models
Concurrency
Backend
Programming Languages
Microservices
Job description
- Build AI-driven deployment gates: Design and ship decision systems that evaluate customer deployments using CI/CD context and Datadog telemetry, producing safe, explainable allow/block outcomes.
- Own evals and rollout: Define precision, recall, and trust metrics; build offline and online evals; validate changes in shadow mode; and safely promote improvements to enforcement.
- Design for robustness and safety: Implement conservative defaults, guardrails, fallbacks, and human-in-the-loop paths so gates behave predictably under noisy or incomplete data.
- Partner closely with Product: Work hand-in-hand with the Product Manager to translate customer problems, adoption signals, and roadmap goals into concrete technical decisions and iterations.
- Integrate across the Datadog platform: Partner with internal AI teams building the Faulty Deployment Detection pipeline, as well as teams working on LLMs and AI agents.
- Own production systems: Build and operate reliable backend services that run in the critical path of customer deployments, and be on-call for those services.
Requirements
- A Productâminded engineer who ships AI to production
- You have 5+ years experience with backend systems and microservices performance: tracing, latency breakdowns, concurrency, and resiliency patterns
- You are proficient in a modern programming language; strong API/service design; production ops (monitoring, alerting, onâcall rotation)
- You have proven experience delivering LLM/agent features to production
- You are comfortable owning user journeys, iterating from prototype â alpha â GA, and measuring impact with clear product metrics
- An End-to-end AI implementation owner: You understands the end-to-end LLM product lifecycle
- Fluent with offline/online evils for AI systems
Bonus Point:
- Experience with Continuous Delivery tools (i.e. ArgoCD / Argo Rollouts, Spinnaker, Octopus Deploy)
- Exposure to planning/agent frameworks, toolâuse orchestration, RAG, and retrieval/indexing for observability data
Benefits & conditions
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- Intradepartmental mentor and buddy program for in-house networking
- An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
- Access to Inclusion Talks, our Internal panel discussions
- Free, global mental health benefits for employees and dependents age 6+
- Competitive global benefits
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.