IDM is the team that works on Datadog APM integrations: the parts that connect Datadog to the tools and services customers use. The team’s job is to make it easier for engineers to build and maintain integrations over time, and to keep quality and reliability high. You will build AI-assisted tools that help with day-to-day engineering work, like drafting code changes, suggesting fixes, and checking results with tests and other automated checks. The goal is building tools that engineers can trust in real production work. You’ll also work closely with other teams, understand how they work, and build solutions that fit their process. You will define what “good” means for these tools, measure results, and improve them over time. You’ll set up evaluation and testing so the AI output stays correct and doesn’t silently get worse. This is a senior role with high ownership, from early prototypes to production and ongoing support.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What You’ll Do:
Build agent workflows that take an integration need from plan to implementation and validation with humans approving at the right checkpoints
Create systems that synthesize context from codebases, docs, specs, telemetry, and historical incidents to make changes that match Datadog conventions and customer expectations
Generate and evolve integration code and tests, including end-to-end scenarios that reflect real customer workloads and product features
Design evaluation harnesses that prevent silent regressions: golden sets, scenario baselines, semantic checks, performance thresholds, and release gating
Build portfolio-level automation: proactive updates for upstream breaking changes, tracer feature rollouts across the catalog, migrations to new schemas/semantics, and targeted coverage expansion
Partner tightly with PM, support engineers, and integration-owning teams to make the system adoptable, trustworthy, and embedded in daily engineering workflows
Who You Are:
Product-minded engineer who ships AI to production
6+ years building backend systems (Go, Java, or .NET) with strong focus on simplicity, correctness, and performance
Proven experience delivering LLM/agent features to production (prompting, tooling, evals, safety/guardrails)
Comfortable navigating ambiguity, iterating from prototype to production, and measuring impact with clear metrics
You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
Strong ML fundamentals
Solid grasp of the ML lifecycle (task definition, dataset construction, modeling, evaluation, deployment, iteration) and statistics for experiments
Fluency with offline/online evals: golden sets, automated regressions, and evaluation harnesses that prevent silent quality drift
Distributed systems & observability savvy
Experience with microservices performance: tracing, latency breakdowns, concurrency, resiliency patterns
Production operations mindset: monitoring, alerting, and participating in on‑call rotations where applicable
Bonus Point:
Hands‑on with distributed tracing stacks (OpenTelemetry/Datadog APM), profilers, and logs/metrics pipelines
Experience with planning/agent frameworks, tool‑use orchestration, RAG, and retrieval/indexing over large context
Experience building developer tools (IDEs, static analysis, compilers, code transformation pipelines) or code-generation systems
Familiarity with semantic conventions / schema migrations, scenario-based testing, and cross-language porting at scale
You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products
Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.
Benefits and Growth:
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.
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About Datadog:
Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.
Equal Opportunity at Datadog:
Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.
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