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Effective Field You can look forward to a dynamic, challenging, and diverse work environment in the Data & AI domain, where you’ll contribute to innovative client projects across various industries. You’ll be part of a hybrid, international expert team that combines technical with consulting excellence. You’ll design and develop scalable Data & AI solutions – from architecture and implementation through to integration into production environments. You’ll actively contribute to agile projects, take ownership of subprojects, and collaborate closely with colleagues from Cloud, Data, and AI Engineering or Consulting. You can expect diverse challenges, plenty of room for initiative, and the opportunity to shape technological trends through real client projects. What distinguishes you Degree in Software Engineering, Computer Science, Informatics, or a related field. Experience: Mid-Level: 3–6 years of professional software development experience. Senior: 6+ years of experience with a proven track record in designing, implementing, and operating scalable, secure, and performant backend systems. Proficient in Java, Spring Boot, REST API design, message-driven architectures (Kafka), async processing, dependency management (Maven), and microservice architecture design, with additional experience in Python or other modern languages. Experience with cloud platforms (Azure, AWS), containerization (Docker, Kubernetes), serverless services, monitoring tools (Splunk, Prometheus, Grafana), and best practices like CI/CD, Git workflows, automated testing, and agile methodologies. Experience with relational/NoSQL databases, data modelling, production-grade ML integration, and exposure to LLM frameworks (Spring AI, LangChain) with interest in prompt engineering, fine-tuning, and semantic search; routine use of AI-assisted coding tools. Fluent in English. Strong team player with excellent intercultural communication skills. Independent, structured, and self-reliant working style. Pragmatic, solution-oriented, and analytical thinker. What you can expect Professional environment with challenging national and international digital projects for well-known customers and hidden champions; A passionate team with a Can-Do Attitude that welcomes you with open arms; A modern working environment with a feel-good factor; Development opportunities that suit you; Flexible working hours, attractive benefits and of course lots of fun.
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.