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We are seeking a skilled Full Stack Engineer with 68 years of experience to design and deliver scalable enterprise product features across front-end and back-end layers. The ideal candidate will have strong engineering fundamentals, hands-on experience building production-grade applications, and the ability to work effectively with modern AI-powered development tools to accelerate delivery while maintaining quality and maintainability. Key Responsibilities Design, develop, test, and deploy end-to-end product features across front-end and back-end layers. Build scalable, secure, and maintainable services, APIs, and user-facing functionality. Collaborate with product, design, QA, and architecture teams to translate requirements into technical solutions. Participate in technical design discussions and contribute to application architecture decisions. Integrate front-end applications with backend services, APIs, and enterprise systems. Write clean, testable, and well-documented code following engineering best practices. Support CI/CD pipelines, code reviews, and release activities. Troubleshoot defects, performance issues, and integration issues across the stack. Use AI-assisted development tools effectively for coding, debugging, testing, refactoring, and documentation. Stay current with emerging engineering practices, frameworks, and delivery methods. Required Skills & Experience 68 years of software development experience, with a strong combination of front-end and back-end engineering. Strong hands-on programming experience in Java and Python, with ability to build scalable backend services and APIs in both. Hands-on experience with React for front-end development. Good understanding of REST APIs, integration patterns, authentication, authorization, and secure application design. Experience with databases, data modeling, and query optimization. Knowledge of software design principles, object-oriented programming, data structures, and algorithms. Experience with modern development practices including unit testing, code reviews, branching strategies, and CI/CD. Exposure to cloud platforms such as AWS, Azure, or other cloud environments. Experience with containers and deployment concepts such as Docker and Kubernetes is a plus. Strong debugging, problem-solving, and system troubleshooting skills. AI-Assisted Engineering Demonstrated ability to use AI-powered development tools such as GitHub Copilot, Claude Code, Cursor, Windsurf, Cline, Aider, Codex, or similar. Experience using AI tools to improve productivity in code generation, debugging, testing, refactoring, and documentation. Ability to use AI responsibly while maintaining engineering quality, security, and code review discipline. Education Bachelors or Masters degree in Computer Science, Engineering, or a related technical discipline preferred. Preferred Qualifications Experience working in enterprise product environments. Exposure to distributed systems and microservices-based architecture. Familiarity with observability, monitoring, and performance tuning. Experience working in Agile/Scrum delivery 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.