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Airflow Platform Engineer1 Experience - 4 - 6 years Key Responsibilities DAG Development & Developer Enablement • Design, develop, and optimize Airflow DAGs for enterprise use cases • Demonstrate strong experience with operators such as PythonOperator, SQL operators, API/HTTP operators, KubernetesPodOperator etc. • Apply advanced DAG patterns including dynamic DAGs, branching, sensors, retries, and error handling • Troubleshoot DAG failures, performance issues, and integration challenges • Enable orchestration of modern data workflows including DBT pipelines • Provide reusable templates, best practices, and onboarding support to drive self-service adoption Platform Operations & Kubernetes Support • Support Airflow platform deployed on AKS, covering scheduler, webserver/API, workers, and metadata services • Troubleshoot issues related to task execution, scheduling delays, and resource bottlenecks • Diagnose Kubernetes-level issues involving pods, networking, storage, and RBAC • Work with Azure services such as Key Vault, Storage, and networking • Support CI/CD pipelines for DAG and container-based deployments • Improve platform stability, monitoring, and alerting Required Skills • Strong experience with Apache Airflow (3.x or later) in production environments • Proven experience in DAG development using operators and orchestration patterns • Working knowledge of Kubernetes (AKS preferred) to support Airflow runtime • Expert-level Python knowledge for building, debugging, and maintaining production- grade workflows and supporting libraries • Expertise in writing unit, integration, and DAG validation tests for Airflow workflows, including mocking operators, validating dependencies, and ensuring reliability in CI/CD pipelines • Experience with DBT and modern data pipelines • Experience with CI/CD tools (Git, Jenkins, Docker) • Familiarity with Azure or other cloud platforms Preferred Skills • Experience with Astronomer / Astro Private Cloud • Exposure to data platforms such as Snowflake, and APIs • Experience with monitoring tools such as Splunk or Prometheus • Knowledge of secrets management using Azure Key Vault Summary This role is critical to ensuring reliable platform operations and scalable adoption of the Airflow-based orchestration platform. The ideal candidate combines strong Airflow expertise, Kubernetes knowledge, and hands-on development experience to support both platform stability and developer productivity.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.