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Build and optimize backend services and system components with modern C++ and .NET, focusing on performance, reliability, and maintainability. Responsibilities Design, implement, and maintain backend services and APIs Develop high-performance components in modern C++ and .NET Write clean, testable, and well-documented code Collaborate with product and DevOps to deliver secure and scalable solutions Participate in code reviews and improve engineering standards Requirements 2+ years of experience in C++ (C++14/17) and .NET (C# preferred) Strong understanding of data structures, concurrency, and memory management Experience with RESTful APIs and database systems (SQL/NoSQL) Familiarity with Windows and/or Linux development workflows Knowledge of Git and CI/CD practices Own the ML lifecycle from data preparation to model deployment for applied business use-cases. Responsibilities Develop end-to-end ML pipelines: data ingestion, feature engineering, training, evaluation Experiment with classical ML and deep learning techniques where appropriate Collaborate with engineering to integrate models into production services Monitor model performance and iterate to improve accuracy and robustness Document assumptions, metrics, and results clearly Requirements Solid Python skills and experience with libraries such as scikit-learn, pandas, NumPy Understanding of supervised/unsupervised learning and evaluation metrics Experience with model serving or MLOps is a plus Comfortable working with real-world, messy datasets Robust communication and collaboration skills Provide reliable L1/L2 support during night shift hours, ensuring uptime and rapid incident response. Responsibilities Monitor infrastructure and endpoints; respond to alerts and incidents Troubleshoot user issues (Windows, networking basics, email, printers) Perform routine maintenance and update documentation/runbooks Coordinate escalations with the L3/engineering team as required Maintain clear communication and handover notes between shifts Requirements Willingness to work night shifts on a rotational schedule Good understanding of Windows administration and basic networking Strong problem-solving and customer communication skills Familiarity with ticketing systems and incident workflows Certifications (e.g., CCNA, ITIL) are a plus .
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.