Data Infrastructure Engineer

<h3><span><strong id="docs-internal-guid-c69b16e3-7fff-eeb2-f1b2-988aadc221a4">About the role</strong></span></h3><p><span>Doodle is a B2B SaaS platform used by millions of professionals to coordinate meetings and collaborate across teams and companies. We're building the future of scheduling and productivity, working on hard problems where human collaboration meets digital efficiency. We craft elegant solutions to complex problems, and we're looking for passionate problem solvers who share that drive.</span></p><p><span>Our product, engineering and analytics teams rely on data every day to decide what we build next. As our Data Infrastructure Engineer, you'll bring data engineering and infrastructure together, designing, building and running the platforms that keep our data reliable, secure and easy to use. You'll work closely with our SRE, product, engineering, analytics and security teams to make data simpler for everyone.</span></p><h4><span><strong id="docs-internal-guid-c69b16e3-7fff-eeb2-f1b2-988aadc221a4">Why join us</strong></span></h4><ul><li><p><span>Real impact: your commits change how the world meets.</span></p></li><li><p><span>Technical stretch: we deal with "time" problems most companies never meet. Our systems are high-throughput, distributed and reactive by design. It's a masterclass in building systems around a moving target.</span></p></li><li><p><span>Modern tooling: we give you the best AI and agentic tools, and we expect you to use them.</span></p></li><li><p><span>Culture of trust: we value curiosity, autonomy, and a balance that respects your time as much as our users.</span></p></li></ul><h4><span><strong id="docs-internal-guid-c69b16e3-7fff-eeb2-f1b2-988aadc221a4">What you'll do</strong></span></h4><ul><li><p><span>Build the platform: design, build and operate scalable infrastructure for data ingestion, transformation, storage and serving. Run streaming flows with Kafka and Avro, orchestrate batch workflows in Airflow, and keep Redshift performant, well-modeled and cost-effective.</span></p></li><li><p><span>Run infrastructure as code: manage secure, reproducible cloud environments for development, testing and production, with sensible cost controls.</span></p></li><li><p><span>Keep it reliable and secure: own SLOs, runbooks and alerts for critical data systems. Protect sensitive data through access controls, encryption, secrets management and retention policies.</span></p></li><li><p><span>Fix problems at the root: investigate incidents, lead root-cause analysis and implement prevent