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Position: Software Engineer Python / Databricks Experience: 3 10 Years Qualification: Bachelor's / Master's Degree in Computer Science, Engineering, or a related field Work mode: Remote Key Responsibilities Databricks & Cloud Infrastructure Build and maintain multi-cloud Databricks infrastructure using Terraform, primarily across AWS and GCP. Support Unity Catalog administration, including metastores, workspaces, catalogs and schemas. Implement and maintain Databricks Asset Bundles (DABs). Develop deployment accelerators, templates and self-service tools for Databricks onboarding. Build scalable and reusable platform engineering solutions and golden paths. Software & API Development Develop and maintain solutions using Python/PySpark and SQL. Design, develop and maintain RESTful APIs using frameworks such as FastAPI or Flask. Build automation and self-service tools to improve developer and data-team productivity. Contribute to data platform and infrastructure automation. Data Engineering & MLOps Work with Spark, Delta Lake and MLflow. Support ETL/data engineering workflows and data pipeline development. Apply knowledge of data modeling and workflow orchestration. Contribute to MLOps and Data Engineering initiatives. Work with tools/frameworks such as Fivetran and Lakeflow Connect. CI/CD & Operations Implement and maintain CI/CD pipelines and GitHub workflows. Support container versioning and deployment processes. Participate in incident management, monitoring and troubleshooting. Work with observability and incident-management tools such as PagerDuty. Contribute to platform documentation, training and cross-team knowledge sharing. Preferred Experience Experience working in infrastructure, platform engineering or data platform roles. Strong understanding of Databricks Medallion Architecture. Experience building self-service platforms, deployment templates and automation tools. Experience working in multi-cloud environments. Strong communication and collaboration skills with the ability to support and enable other engineering teams. .
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.