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Key Responsibilities Design, develop, and maintain services and libraries using Python. Build robust abstractions for process management, inter-process communication, and automation on Linux systems. Make critical technical decisions that shape the platform s architecture, scalability, and functionality. Lead and implement complex software development initiatives and projects with a focus on reliability and performance. Continuously improve system performance, reliability, and scalability through monitoring, optimization, and automation. Effectively delegate tasks, mentor junior engineers, and foster a culture of collaboration, innovation, and knowledge sharing. Collaborate with cross-functional teams to gather requirements, design technical solutions, and ensure alignment with business and Agile goals. Identify and implement innovative tools, frameworks, and processes to enhance productivity and maintainability. Actively participate in incident resolution and troubleshooting, providing timely and effective solutions for production issues. Champion Agile engineering practices, CI/CD pipelines, and automated testing frameworks. Required Qualifications Bachelor s degree in Computer Science, Engineering, or a related field; a Master s is a plus. Minimum of 6 years of hands-on experience in software development, with a robust focus on Python. Strong proficiency in Python frameworks e.g. Flask, FastAPI, or Django. Solid experience in building and consuming RESTful APIs. Deep understanding of Linux systems, shell scripting, and system internals. Familiarity with networking concepts, process management, and system-level programming on Linux. Proven ability to write secure, maintainable, and high-quality code. Solid understanding of Agile engineering practices and DevOps principles. Excellent problem-solving skills with meticulous attention to detail. Demonstrated expertise in debugging, performance tuning, and automation in Linux settings. Preferred Qualifications Knowledge of distributed systems, microservices architecture, and cluster management. Familiarity with configuration management and orchestration tools e.g. Ansible, Puppet, or Chef. Experience with containerization and orchestration technologies such as Docker and Kubernetes. Exposure to monitoring and logging tools e.g. Prometheus, Grafana, ELK stack. .
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.