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Key Skills: Node.js, TypeScript, Kafka, Google Cloud Platform, REST APIs, Microservices, Docker, Git, GitLab CI/CD, Terraform Good to Have Skills: Experience with Confluent Kafka, Solo Enterprise Gateway, ArgoCD, Firestore, Cloud Tasks, Cloud Functions, Pub/Sub, Cloud Run, prompt engineering, LLM APIs, Vertex AI, OpenAI APIs, LangChain, RAG, AI agents, GitHub Copilot, ChatGPT, Gemini, Cursor, relational and NoSQL databases, secure software development, API management. Roles & Responsibilities: Design, develop, and maintain enterprise integration services, REST APIs, and event-driven microservices using Node.js and TypeScript.Build scalable, secure, and high-performance solutions utilizing Kafka, Solo Enterprise Gateway, and Google Cloud Platform.Develop reusable components following enterprise architecture, coding standards, and security best practices.Lead production support and release deployments for enterprise integration applications, services, and APIs.Drive incident resolution, root cause analysis, and long-term reliability improvements.Perform code reviews, write automated tests, troubleshoot production issues, and mentor junior engineers.Participate in architecture discussions and Agile ceremonies.Use AI-assisted development tools to improve coding, testing, documentation, and debugging.Evaluate and integrate AI capabilities into enterprise applications where appropriate.Leverage LLM APIs, prompt engineering, and AI services to improve business processes and developer productivity.Collaborate with architects, product owners, QA, and support teams to deliver reliable, high-quality solutions.Contribute to continuous improvement, engineering standards, and technical documentation, and operational best practices.Stay current with emerging AI technologies and recommend practical adoption opportunities.Experience Required: 6+ years building enterprise APIs, microservices, integration platforms, and cloud-native applications with production support experience. Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or related field (or equivalent experience). .
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.