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- 5+ years of software engineering experience with a focus on backend and/or data systems - Strong proficiency in Python for backend development and data pipeline work - Experience with relational databases (PostgreSQL, Azure SQL) schema design, query optimization, indexing - Experience with NoSQL databases (MongoDB, Azure Cosmos DB) data modeling, aggregation, performance tuning - Hands-on experience with cloud data platforms and pipeline development (Azure preferred; GCP/AWS considered) - Understanding of event-driven architecture messaging systems, pub/sub patterns, stream processing - Experience with Azure services including one or more of: Event Hub, IoT Hub, Data Lake Gen2, Synapse Analytics, Data Factory, Azure Functions, Cosmos DB - Familiarity with containerization (Docker) and orchestration (Kubernetes / AKS) - Understanding of distributed systems concepts partitioning, replication, consistency trade-offs - Experience with CI/CD pipelines and agile/scrum development practices - Strong fundamentals in data structures, algorithms, and system design - Preferred - Experience with Azure IoT Hub and real-time telemetry / IoT data pipelines - Experience with Apache Airflow for pipeline orchestration - Familiarity with dbt or similar ELT transformation tools - Experience with Azure Data Explorer (ADX) / Kusto Query Language (KQL) - Knowledge of Kotlin for backend service development - Experience with Snowflake or other cloud data warehousing platforms - Familiarity with streaming frameworks (Spark Structured Streaming, Azure Stream Analytics) - Prior experience in retail, supply chain, or large-scale e-commerce systems - Design, develop, and maintain scalable backend services and data pipelines on Azure cloud infrastructure - Build and operate real-time event-driven systems using Azure Event Hub and Azure IoT Hub - Design and implement data lake architectures on Azure Data Lake Storage Gen2 with medallion (bronze/silver/gold) layering - Develop data ingestion, transformation, and orchestration pipelines using Azure Data Factory and Apache Airflow - Work with Azure Synapse Analytics for large-scale analytical workloads and query optimization - Design schema and data models for both relational (Azure SQL, PostgreSQL) and NoSQL (Azure Cosmos DB) databases - Build and optimize APIs and backend services using Python (FastAPI / Django) and/or Kotlin/Java - Implement event-driven microservices and distributed systems at retail scale - Collaborate with data scientists, product managers, and cross-functional engineering teams - Participate in system design reviews and contribute to architectural decisions - Write clean, testable, production-grade code following CI/CD and DevOps best practices - Mentor junior engineers and contribute to team knowledge-sharing - 5+ years of software engineering experience with a focus on backend and/or data systems - Robust . Azure, Chat GPT Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .
Here's where they are and how to stand out in your next interview.
24.795Jobs
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That number includes positions in India (9,577), Poland (3,429), the United States (1,753), Singapore (787), and Brazil (779). If you're looking to move or work remotely, check which countries match your goals — then filter WorkMundi by location to see what's actually hiring near you.
Most developer ads you'll see are written in English: 18,397 of the 24,795. That doesn't tell you whether the job itself requires you to speak English or work in English daily, so read each posting carefully. Don't assume the language of the ad matches the language of the team.
The employers posting the most developer roles are Link Group (369 jobs), Upvanta (257), jobgether (226), and OfferZen (212). If you're applying to any of these, research their hiring patterns. They move fast and post often, which means they're either scaling hard or replacing people who didn't fit.
In your interview, expect this: 'Walk me through the last time you had to debug something that took you more than an hour. What was it, what did you try first, and what would you do differently?' Hiring managers ask this to see if you think systematically or just try random fixes. Have a real example ready with specifics.