Senior AI Engineer - CD Visibility Careers at Datadog - Madrid, Spain | Apply Now!
Datadog
Senior AI Engineer - CD Visibility Careers at Datadog - Madrid, Spain | Apply Now!
Job Description
Role Overview
Join Datadog's Deployment Gates team as a Senior AI Engineer - CD Visibility in Madrid, Spain. Datadog is the leading monitoring and security platform for cloud applications, powering observability for thousands of companies worldwide. Our AI-powered platform drives faster incident resolution, enhanced data reliability, and intelligent deployment decisions.
The Deployment Gates team builds customer-facing systems integrated directly into CI/CD pipelines. These systems leverage Datadog telemetry to answer the critical question: "Given everything we know right now, is this deployment safe to proceed?"
As a Senior AI Engineer, you'll evolve Deployment Gates from static rules to AI-driven decisions, combining observability data to detect and block faulty changes before they impact production. This highly product-minded role spans problem discovery, UX design, and scalable production systems.
Key Responsibilities at Datadog
- Build AI-driven deployment gates: Design decision systems evaluating deployments using CI/CD context and Datadog telemetry for safe, explainable outcomes.
- Own evals and rollout: Define precision, recall, trust metrics; build offline/online evaluations; validate in shadow mode; promote improvements safely.
- Design for robustness and safety: Implement conservative defaults, guardrails, fallbacks, human-in-the-loop paths for predictable behavior.
- Partner with Product teams: Translate customer problems, adoption signals, roadmap goals into technical decisions and iterations.
- Integrate across Datadog platform: Collaborate with Faulty Deployment Detection, LLMs, and AI agent teams.
- Own production systems: Build/operate reliable backend services in customer deployment critical paths with on-call responsibilities.
- Lead progressive deployment automation: Evolve from zero-setup AI rules to adaptive gates learning from incidents.
- Design autonomous remediation foundation: Connect code changes to production failures for blocking, rollback, and fix proposals.
Qualifications & Requirements
- 5+ years backend systems experience with microservices performance: tracing, latency, concurrency, resiliency patterns.
- Proven LLM/agent production delivery with end-to-end AI implementation ownership.
- Product-minded engineering: Comfortable owning user journeys from prototype → alpha → GA with clear metrics.
- AI evaluation expertise: Fluent with offline/online evals, precision/recall/trust metrics.
- Proficiency in modern programming languages, strong API/service design, production ops (monitoring, alerting, on-call).
- Bonus: Experience with Continuous Delivery tools (ArgoCD/Rollouts, Spinnaker, Octopus Deploy) and planning/agent frameworks, RAG, observability data retrieval.
Datadog values diverse backgrounds. If you're passionate about AI in observability and want to grow, we encourage you to apply even if you don't meet every qualification.
Salary & Benefits
Senior AI Engineer roles in Madrid command competitive compensation reflecting Spain's tech market and Datadog's leadership position. Expect comprehensive benefits including:
- New hire stock equity (RSUs) and ESPP
- Free global mental health benefits for employees/dependents 6+
- Continuous professional development, product training, career pathing
- Intradepartmental mentoring and buddy programs
- Inclusive culture with Community Guilds and Inclusion Talks
- Hybrid workplace balancing office collaboration and work-life harmony
- Competitive global benefits package
Why Join Datadog?
Datadog is at the forefront of cloud observability and security. Our Madrid office offers:
- Work on AI systems impacting millions of deployments daily
- Hybrid model fostering deep collaboration and creativity
- Global impact with cross-functional teams building platform-wide AI
- Career growth through mentorship programs and clear paths
- Inclusive culture celebrating diverse perspectives
Be part of transforming software delivery with AI-powered Deployment Gates.
How to Apply
Ready to build the future of AI-driven continuous delivery at Datadog? Click 'Apply Now' to join our Madrid team. We're hiring passionate engineers who thrive in product-minded environments and want to ship reliable AI to production.
Datadog is an Equal Opportunity Employer.
Locations
- Madrid, Spain
Salary
78,750 - 132,000 EUR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- AI/ML Engineeringintermediate
- Observability Platformsintermediate
- CI/CD Pipelinesintermediate
- Deployment Automationintermediate
- LLM Implementationintermediate
- Backend Microservicesintermediate
- Cloud Monitoringintermediate
- DevOps Toolsintermediate
- Distributed Tracingintermediate
- Production AI Systemsintermediate
- Fault Detectionintermediate
- API Designintermediate
- Performance Optimizationintermediate
- On-Call Operationsintermediate
- RAG Frameworksintermediate
Required Qualifications
- 5+ years experience with backend systems and microservices performance including tracing, latency breakdowns, concurrency, and resiliency patterns (experience)
- Proven experience delivering LLM/agent features to production (experience)
- Product-minded engineer who ships AI to production with end-to-end ownership (experience)
- Fluent with offline/online evals for AI systems and defining precision/recall metrics (experience)
- Strong API/service design and production ops experience including monitoring, alerting, and on-call rotation (experience)
- Comfortable owning user journeys from prototype to GA with clear product metrics (experience)
Responsibilities
- Build AI-driven deployment gates that evaluate customer deployments using CI/CD context and Datadog telemetry
- Design and ship decision systems producing safe, explainable allow/block outcomes for production deployments
- Own evals and rollout including precision, recall, trust metrics, offline/online evals, and shadow mode validation
- Design for robustness with conservative defaults, guardrails, fallbacks, and human-in-the-loop paths
- Partner closely with Product Managers to translate customer problems into technical decisions and iterations
- Integrate across Datadog platform with AI teams building Faulty Deployment Detection and LLM/agent systems
- Own production backend services running in critical path of customer deployments with on-call responsibilities
- Lead evolution from static rules to adaptive AI gates that learn from incidents and organizational patterns
- Design foundation for autonomous remediation connecting code changes to production failures
Benefits
- general: New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- general: Competitive global benefits package
- general: Free global mental health benefits for employees and dependents age 6+
- general: Continuous professional development and product training
- general: Career pathing with intradepartmental mentor and buddy program
- general: Inclusive company culture with Community Guilds (employee resource groups)
- general: Access to Inclusion Talks and internal panel discussions
- general: Hybrid workplace with office culture emphasizing collaboration and creativity
Tags & Categories
Answer 10 quick questions to check your fit for Senior AI Engineer - CD Visibility Careers at Datadog - Madrid, Spain | Apply Now! @ Datadog.
Related Books and Jobs
Senior AI Engineer - CD Visibility Careers at Datadog - Madrid, Spain | Apply Now!
Datadog
Senior AI Engineer - CD Visibility Careers at Datadog - Madrid, Spain | Apply Now!
Job Description
Role Overview
Join Datadog's Deployment Gates team as a Senior AI Engineer - CD Visibility in Madrid, Spain. Datadog is the leading monitoring and security platform for cloud applications, powering observability for thousands of companies worldwide. Our AI-powered platform drives faster incident resolution, enhanced data reliability, and intelligent deployment decisions.
The Deployment Gates team builds customer-facing systems integrated directly into CI/CD pipelines. These systems leverage Datadog telemetry to answer the critical question: "Given everything we know right now, is this deployment safe to proceed?"
As a Senior AI Engineer, you'll evolve Deployment Gates from static rules to AI-driven decisions, combining observability data to detect and block faulty changes before they impact production. This highly product-minded role spans problem discovery, UX design, and scalable production systems.
Key Responsibilities at Datadog
- Build AI-driven deployment gates: Design decision systems evaluating deployments using CI/CD context and Datadog telemetry for safe, explainable outcomes.
- Own evals and rollout: Define precision, recall, trust metrics; build offline/online evaluations; validate in shadow mode; promote improvements safely.
- Design for robustness and safety: Implement conservative defaults, guardrails, fallbacks, human-in-the-loop paths for predictable behavior.
- Partner with Product teams: Translate customer problems, adoption signals, roadmap goals into technical decisions and iterations.
- Integrate across Datadog platform: Collaborate with Faulty Deployment Detection, LLMs, and AI agent teams.
- Own production systems: Build/operate reliable backend services in customer deployment critical paths with on-call responsibilities.
- Lead progressive deployment automation: Evolve from zero-setup AI rules to adaptive gates learning from incidents.
- Design autonomous remediation foundation: Connect code changes to production failures for blocking, rollback, and fix proposals.
Qualifications & Requirements
- 5+ years backend systems experience with microservices performance: tracing, latency, concurrency, resiliency patterns.
- Proven LLM/agent production delivery with end-to-end AI implementation ownership.
- Product-minded engineering: Comfortable owning user journeys from prototype → alpha → GA with clear metrics.
- AI evaluation expertise: Fluent with offline/online evals, precision/recall/trust metrics.
- Proficiency in modern programming languages, strong API/service design, production ops (monitoring, alerting, on-call).
- Bonus: Experience with Continuous Delivery tools (ArgoCD/Rollouts, Spinnaker, Octopus Deploy) and planning/agent frameworks, RAG, observability data retrieval.
Datadog values diverse backgrounds. If you're passionate about AI in observability and want to grow, we encourage you to apply even if you don't meet every qualification.
Salary & Benefits
Senior AI Engineer roles in Madrid command competitive compensation reflecting Spain's tech market and Datadog's leadership position. Expect comprehensive benefits including:
- New hire stock equity (RSUs) and ESPP
- Free global mental health benefits for employees/dependents 6+
- Continuous professional development, product training, career pathing
- Intradepartmental mentoring and buddy programs
- Inclusive culture with Community Guilds and Inclusion Talks
- Hybrid workplace balancing office collaboration and work-life harmony
- Competitive global benefits package
Why Join Datadog?
Datadog is at the forefront of cloud observability and security. Our Madrid office offers:
- Work on AI systems impacting millions of deployments daily
- Hybrid model fostering deep collaboration and creativity
- Global impact with cross-functional teams building platform-wide AI
- Career growth through mentorship programs and clear paths
- Inclusive culture celebrating diverse perspectives
Be part of transforming software delivery with AI-powered Deployment Gates.
How to Apply
Ready to build the future of AI-driven continuous delivery at Datadog? Click 'Apply Now' to join our Madrid team. We're hiring passionate engineers who thrive in product-minded environments and want to ship reliable AI to production.
Datadog is an Equal Opportunity Employer.
Locations
- Madrid, Spain
Salary
78,750 - 132,000 EUR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- AI/ML Engineeringintermediate
- Observability Platformsintermediate
- CI/CD Pipelinesintermediate
- Deployment Automationintermediate
- LLM Implementationintermediate
- Backend Microservicesintermediate
- Cloud Monitoringintermediate
- DevOps Toolsintermediate
- Distributed Tracingintermediate
- Production AI Systemsintermediate
- Fault Detectionintermediate
- API Designintermediate
- Performance Optimizationintermediate
- On-Call Operationsintermediate
- RAG Frameworksintermediate
Required Qualifications
- 5+ years experience with backend systems and microservices performance including tracing, latency breakdowns, concurrency, and resiliency patterns (experience)
- Proven experience delivering LLM/agent features to production (experience)
- Product-minded engineer who ships AI to production with end-to-end ownership (experience)
- Fluent with offline/online evals for AI systems and defining precision/recall metrics (experience)
- Strong API/service design and production ops experience including monitoring, alerting, and on-call rotation (experience)
- Comfortable owning user journeys from prototype to GA with clear product metrics (experience)
Responsibilities
- Build AI-driven deployment gates that evaluate customer deployments using CI/CD context and Datadog telemetry
- Design and ship decision systems producing safe, explainable allow/block outcomes for production deployments
- Own evals and rollout including precision, recall, trust metrics, offline/online evals, and shadow mode validation
- Design for robustness with conservative defaults, guardrails, fallbacks, and human-in-the-loop paths
- Partner closely with Product Managers to translate customer problems into technical decisions and iterations
- Integrate across Datadog platform with AI teams building Faulty Deployment Detection and LLM/agent systems
- Own production backend services running in critical path of customer deployments with on-call responsibilities
- Lead evolution from static rules to adaptive AI gates that learn from incidents and organizational patterns
- Design foundation for autonomous remediation connecting code changes to production failures
Benefits
- general: New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- general: Competitive global benefits package
- general: Free global mental health benefits for employees and dependents age 6+
- general: Continuous professional development and product training
- general: Career pathing with intradepartmental mentor and buddy program
- general: Inclusive company culture with Community Guilds (employee resource groups)
- general: Access to Inclusion Talks and internal panel discussions
- general: Hybrid workplace with office culture emphasizing collaboration and creativity
Tags & Categories
Answer 10 quick questions to check your fit for Senior AI Engineer - CD Visibility Careers at Datadog - Madrid, Spain | Apply Now! @ Datadog.
Related Books and Jobs