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Senior AI Engineer - APM Integrations Careers at Datadog - Portugal | Apply Now!

Datadog

Senior AI Engineer - APM Integrations Careers at Datadog - Portugal | Apply Now!

full-timePosted: Feb 2, 2026

Job Description

Role Overview

Join Datadog's IDM team as a Senior AI Engineer - APM Integrations and revolutionize how engineers build and maintain cloud application monitoring integrations. This remote position in Portugal focuses on creating AI-powered tools that assist with code generation, bug fixes, testing, and validation for Datadog APM (Application Performance Monitoring). You'll develop trustworthy AI agents that handle complex integration workflows from planning to production deployment.

Datadog is the leading observability and security platform for cloud-scale applications, trusted by thousands of engineering teams worldwide. The IDM team owns the critical integrations connecting Datadog to customer tools and services. Your AI systems will synthesize context from codebases, documentation, telemetry data, and historical incidents to generate production-ready code that matches Datadog's quality standards and customer expectations.

This senior role offers high ownership from early prototypes through production support. You'll define success metrics, build evaluation frameworks to prevent AI quality drift, and partner with PMs, support engineers, and integration teams to embed these tools in daily workflows. Perfect for product-minded engineers passionate about shipping reliable AI to production.

Key Responsibilities at Datadog

  • Build sophisticated agent workflows that transform integration requirements into complete implementations with human approval checkpoints
  • Develop context-aware systems that analyze codebases, technical specifications, telemetry data, and past incidents for accurate code generation
  • Generate integration code, comprehensive test suites, and end-to-end validation scenarios reflecting real customer workloads
  • Design robust evaluation harnesses including golden datasets, semantic similarity checks, performance thresholds, and release gating mechanisms
  • Create portfolio-wide automation handling upstream breaking changes, tracer feature rollouts, schema migrations, and targeted test coverage expansion
  • Collaborate closely with product managers, support engineers, and integration-owning teams to ensure seamless tool adoption
  • Establish quality benchmarks, implement continuous measurement, and drive iterative improvements based on real-world usage data
  • Implement production monitoring, alerting, and on-call practices to maintain AI system reliability at scale
  • Champion AI safety through comprehensive guardrails, regression testing, and quality assurance frameworks

Qualifications & Requirements

Product-minded AI Engineer: 6+ years building scalable backend systems in Go, Java, or .NET with emphasis on simplicity, correctness, and performance. Proven track record shipping LLM/agent features to production including advanced prompting techniques, evaluation frameworks, and safety mechanisms. Comfortable with ambiguity, rapid prototyping, and measuring concrete business impact.

ML Expertise: Deep understanding of complete ML lifecycle from task formulation through deployment and iteration. Expertise in offline/online evaluation methodologies including golden sets, automated regression detection, and statistical experiment design. Experience preventing silent quality degradation in production AI systems.

Systems & Observability: Strong background in distributed systems performance analysis including tracing, latency profiling, concurrency patterns, and resiliency strategies. Production operations experience with monitoring, alerting, and on-call rotations. Familiarity with OpenTelemetry, Datadog APM, profilers, and observability pipelines highly valued.

Bonus: Hands-on experience with agent frameworks, RAG systems, developer tools, semantic conventions, scenario-based testing, and large-scale code transformation pipelines.

Salary & Benefits

Datadog offers competitive compensation for Senior AI Engineers in Portugal ranging from $135,000 - $185,000 USD base salary (equivalent in EUR) plus equity. Total compensation includes:

  • New hire RSU stock grants and ESPP participation
  • Comprehensive global health coverage for families
  • Free mental health benefits for employees and dependents 6+
  • Professional development stipend and training programs
  • Mentorship programs and career pathing
  • Hybrid work model with office culture benefits
  • Community Guilds and Inclusion Talks
  • Competitive PTO and global benefits package

Why Join Datadog?

Datadog empowers modern cloud teams with end-to-end observability and security for their entire technology stack. As a Senior AI Engineer, you'll work on cutting-edge AI systems that directly impact thousands of engineering teams worldwide. Our hybrid culture balances collaboration with work-life harmony, while our growth programs accelerate your career trajectory.

Thrive in an inclusive environment with mentorship, Community Guilds, and continuous learning opportunities. Datadog values diverse backgrounds and encourages passionate technologists to apply even if you don't meet every qualification.

How to Apply

Ready to build the future of AI-assisted observability? Click 'Apply Now' to join Datadog's mission-critical IDM team. Submit your resume and a brief note about your most impactful AI production experience. We're hiring rapidly for this Portugal-remote role - don't miss your chance to shape AI engineering at scale!

Locations

  • Lisbon, Portugal (Remote)
  • Porto, Portugal (Remote)

Salary

Estimated Salary Rangehigh confidence

141,750 - 203,500 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • AI Engineeringintermediate
  • LLM Developmentintermediate
  • Distributed Tracingintermediate
  • OpenTelemetryintermediate
  • Datadog APMintermediate
  • Go Programmingintermediate
  • Java Developmentintermediate
  • .NET Backendintermediate
  • Microservices Architectureintermediate
  • Observability Engineeringintermediate
  • DevOps Automationintermediate
  • Machine Learning Lifecycleintermediate
  • Prompt Engineeringintermediate
  • RAG Systemsintermediate
  • Agent Frameworksintermediate

Required Qualifications

  • 6+ years building backend systems in Go, Java, or .NET with focus on simplicity, correctness, and performance (experience)
  • Proven experience delivering LLM/agent features to production including prompting, tooling, evals, and safety guardrails (experience)
  • Solid grasp of ML lifecycle from task definition through deployment and iteration with strong statistics knowledge (experience)
  • Experience with distributed systems, microservices performance, tracing, latency analysis, and resiliency patterns (experience)
  • Production operations mindset with monitoring, alerting, and on-call rotation experience (experience)
  • Comfortable navigating ambiguity and iterating from prototype to production with clear impact metrics (experience)

Responsibilities

  • Build AI-assisted agent workflows that handle integration needs from planning through implementation and validation
  • Create context synthesis systems using codebases, docs, specs, telemetry, and incident history
  • Generate and evolve integration code, tests, and end-to-end scenarios matching customer workloads
  • Design comprehensive evaluation harnesses with golden sets, semantic checks, and regression prevention
  • Develop portfolio-level automation for upstream changes, tracer rollouts, schema migrations, and coverage expansion
  • Partner with PMs, support engineers, and integration teams to embed AI tools in daily workflows
  • Define quality standards, measure tool effectiveness, and continuously improve AI system performance
  • Set up monitoring and alerting for AI tools to maintain production reliability and prevent silent regressions
  • Collaborate cross-functionally to ensure AI outputs align with Datadog conventions and customer expectations

Benefits

  • general: New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • general: Comprehensive global health insurance covering employees and dependents
  • general: Free global mental health benefits for employees and dependents age 6+
  • general: Continuous professional development and product training programs
  • general: Intradepartmental mentor and buddy program for networking
  • general: Inclusive company culture with Community Guilds and Inclusion Talks
  • general: Competitive global benefits package tailored by country
  • general: Hybrid workplace with work-life harmony flexibility
  • general: Career pathing opportunities and leadership development

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Tags & Categories

AI EngineeringDatadogAPMObservabilityRemote PortugalSenior EngineerLLMMachine LearningDistributed SystemsGoJava.NETSenior AI Engineer DatadogAPM Integrations jobs PortugalAI observability engineerLLM production engineer remoteDatadog APM careersGo Java .NET AI developerDistributed tracing AI jobsOpenTelemetry engineer DatadogML engineer observabilityRemote AI jobs PortugalAgent frameworks developerRAG systems engineerProduction AI safety guardrailsDatadog integration engineerSenior backend AI PortugalObservability DevOps AICloud monitoring AI careersDev Eng

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Datadog logo

Senior AI Engineer - APM Integrations Careers at Datadog - Portugal | Apply Now!

Datadog

Senior AI Engineer - APM Integrations Careers at Datadog - Portugal | Apply Now!

full-timePosted: Feb 2, 2026

Job Description

Role Overview

Join Datadog's IDM team as a Senior AI Engineer - APM Integrations and revolutionize how engineers build and maintain cloud application monitoring integrations. This remote position in Portugal focuses on creating AI-powered tools that assist with code generation, bug fixes, testing, and validation for Datadog APM (Application Performance Monitoring). You'll develop trustworthy AI agents that handle complex integration workflows from planning to production deployment.

Datadog is the leading observability and security platform for cloud-scale applications, trusted by thousands of engineering teams worldwide. The IDM team owns the critical integrations connecting Datadog to customer tools and services. Your AI systems will synthesize context from codebases, documentation, telemetry data, and historical incidents to generate production-ready code that matches Datadog's quality standards and customer expectations.

This senior role offers high ownership from early prototypes through production support. You'll define success metrics, build evaluation frameworks to prevent AI quality drift, and partner with PMs, support engineers, and integration teams to embed these tools in daily workflows. Perfect for product-minded engineers passionate about shipping reliable AI to production.

Key Responsibilities at Datadog

  • Build sophisticated agent workflows that transform integration requirements into complete implementations with human approval checkpoints
  • Develop context-aware systems that analyze codebases, technical specifications, telemetry data, and past incidents for accurate code generation
  • Generate integration code, comprehensive test suites, and end-to-end validation scenarios reflecting real customer workloads
  • Design robust evaluation harnesses including golden datasets, semantic similarity checks, performance thresholds, and release gating mechanisms
  • Create portfolio-wide automation handling upstream breaking changes, tracer feature rollouts, schema migrations, and targeted test coverage expansion
  • Collaborate closely with product managers, support engineers, and integration-owning teams to ensure seamless tool adoption
  • Establish quality benchmarks, implement continuous measurement, and drive iterative improvements based on real-world usage data
  • Implement production monitoring, alerting, and on-call practices to maintain AI system reliability at scale
  • Champion AI safety through comprehensive guardrails, regression testing, and quality assurance frameworks

Qualifications & Requirements

Product-minded AI Engineer: 6+ years building scalable backend systems in Go, Java, or .NET with emphasis on simplicity, correctness, and performance. Proven track record shipping LLM/agent features to production including advanced prompting techniques, evaluation frameworks, and safety mechanisms. Comfortable with ambiguity, rapid prototyping, and measuring concrete business impact.

ML Expertise: Deep understanding of complete ML lifecycle from task formulation through deployment and iteration. Expertise in offline/online evaluation methodologies including golden sets, automated regression detection, and statistical experiment design. Experience preventing silent quality degradation in production AI systems.

Systems & Observability: Strong background in distributed systems performance analysis including tracing, latency profiling, concurrency patterns, and resiliency strategies. Production operations experience with monitoring, alerting, and on-call rotations. Familiarity with OpenTelemetry, Datadog APM, profilers, and observability pipelines highly valued.

Bonus: Hands-on experience with agent frameworks, RAG systems, developer tools, semantic conventions, scenario-based testing, and large-scale code transformation pipelines.

Salary & Benefits

Datadog offers competitive compensation for Senior AI Engineers in Portugal ranging from $135,000 - $185,000 USD base salary (equivalent in EUR) plus equity. Total compensation includes:

  • New hire RSU stock grants and ESPP participation
  • Comprehensive global health coverage for families
  • Free mental health benefits for employees and dependents 6+
  • Professional development stipend and training programs
  • Mentorship programs and career pathing
  • Hybrid work model with office culture benefits
  • Community Guilds and Inclusion Talks
  • Competitive PTO and global benefits package

Why Join Datadog?

Datadog empowers modern cloud teams with end-to-end observability and security for their entire technology stack. As a Senior AI Engineer, you'll work on cutting-edge AI systems that directly impact thousands of engineering teams worldwide. Our hybrid culture balances collaboration with work-life harmony, while our growth programs accelerate your career trajectory.

Thrive in an inclusive environment with mentorship, Community Guilds, and continuous learning opportunities. Datadog values diverse backgrounds and encourages passionate technologists to apply even if you don't meet every qualification.

How to Apply

Ready to build the future of AI-assisted observability? Click 'Apply Now' to join Datadog's mission-critical IDM team. Submit your resume and a brief note about your most impactful AI production experience. We're hiring rapidly for this Portugal-remote role - don't miss your chance to shape AI engineering at scale!

Locations

  • Lisbon, Portugal (Remote)
  • Porto, Portugal (Remote)

Salary

Estimated Salary Rangehigh confidence

141,750 - 203,500 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • AI Engineeringintermediate
  • LLM Developmentintermediate
  • Distributed Tracingintermediate
  • OpenTelemetryintermediate
  • Datadog APMintermediate
  • Go Programmingintermediate
  • Java Developmentintermediate
  • .NET Backendintermediate
  • Microservices Architectureintermediate
  • Observability Engineeringintermediate
  • DevOps Automationintermediate
  • Machine Learning Lifecycleintermediate
  • Prompt Engineeringintermediate
  • RAG Systemsintermediate
  • Agent Frameworksintermediate

Required Qualifications

  • 6+ years building backend systems in Go, Java, or .NET with focus on simplicity, correctness, and performance (experience)
  • Proven experience delivering LLM/agent features to production including prompting, tooling, evals, and safety guardrails (experience)
  • Solid grasp of ML lifecycle from task definition through deployment and iteration with strong statistics knowledge (experience)
  • Experience with distributed systems, microservices performance, tracing, latency analysis, and resiliency patterns (experience)
  • Production operations mindset with monitoring, alerting, and on-call rotation experience (experience)
  • Comfortable navigating ambiguity and iterating from prototype to production with clear impact metrics (experience)

Responsibilities

  • Build AI-assisted agent workflows that handle integration needs from planning through implementation and validation
  • Create context synthesis systems using codebases, docs, specs, telemetry, and incident history
  • Generate and evolve integration code, tests, and end-to-end scenarios matching customer workloads
  • Design comprehensive evaluation harnesses with golden sets, semantic checks, and regression prevention
  • Develop portfolio-level automation for upstream changes, tracer rollouts, schema migrations, and coverage expansion
  • Partner with PMs, support engineers, and integration teams to embed AI tools in daily workflows
  • Define quality standards, measure tool effectiveness, and continuously improve AI system performance
  • Set up monitoring and alerting for AI tools to maintain production reliability and prevent silent regressions
  • Collaborate cross-functionally to ensure AI outputs align with Datadog conventions and customer expectations

Benefits

  • general: New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • general: Comprehensive global health insurance covering employees and dependents
  • general: Free global mental health benefits for employees and dependents age 6+
  • general: Continuous professional development and product training programs
  • general: Intradepartmental mentor and buddy program for networking
  • general: Inclusive company culture with Community Guilds and Inclusion Talks
  • general: Competitive global benefits package tailored by country
  • general: Hybrid workplace with work-life harmony flexibility
  • general: Career pathing opportunities and leadership development

Target Your Resume for "Senior AI Engineer - APM Integrations Careers at Datadog - Portugal | Apply Now!" , Datadog

Get personalized recommendations to optimize your resume specifically for Senior AI Engineer - APM Integrations Careers at Datadog - Portugal | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior AI Engineer - APM Integrations Careers at Datadog - Portugal | Apply Now!" , Datadog

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

AI EngineeringDatadogAPMObservabilityRemote PortugalSenior EngineerLLMMachine LearningDistributed SystemsGoJava.NETSenior AI Engineer DatadogAPM Integrations jobs PortugalAI observability engineerLLM production engineer remoteDatadog APM careersGo Java .NET AI developerDistributed tracing AI jobsOpenTelemetry engineer DatadogML engineer observabilityRemote AI jobs PortugalAgent frameworks developerRAG systems engineerProduction AI safety guardrailsDatadog integration engineerSenior backend AI PortugalObservability DevOps AICloud monitoring AI careersDev Eng

Answer 10 quick questions to check your fit for Senior AI Engineer - APM Integrations Careers at Datadog - Portugal | Apply Now! @ Datadog.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.