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We are looking for a highly skilled Technology Engineer with robust expertise in streaming data platforms and cloud-native technologies. The ideal candidate will have hands-on experience with Kafka, CI/CD pipelines, and cloud environments, and will play a critical role in building scalable, event-driven data systems. Key Responsibilities - Design, implement, and manage high-throughput Kafka clusters in production environments - Build and maintain event-driven and streaming data architectures - Develop and manage CI/CD pipelines using tools like Jenkins, ArgoCD, and GitOps practices - Work on cloud-native applications across AWS, Azure, or OCI - Automate infrastructure and deployment processes using modern cloud automation tools - Collaborate with cross-functional teams to deliver scalable and resilient data solutions - Ensure best practices in code quality, testing, and deployment automation - Implement design patterns for scalable and maintainable systems - Perform unit testing and integration testing for robust application delivery Required Skills & Experience - Strong experience in Apache Kafka setup, configuration, and performance tuning in high-volume environments - Proficiency in Git (source control) and CI/CD tools like Jenkins, ArgoCD - Hands-on experience with public cloud platforms (AWS / Azure / OCI) - Experience working with large-scale streaming datasets - Good understanding of event-driven architecture and microservices - Exposure to GitOps practices and DevOps culture - Experience with cloud automation tools - Strong knowledge of software design patterns and system design principles - Experience in automated testing (unit & integration testing) Preferred Qualifications - Experience with OpenShift / Kubernetes platforms - Familiarity with real-time streaming frameworks and data pipelines - Prior experience in banking or financial services domain (preferred but not mandatory) .
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.