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WHAT WE RE UP TO WE ARE A LEAN, TENACIOUS MACHINE POWERED BY 85 OF THE SHARPEST, MOST PASSIONATE PEOPLE WE COULD FIND. Simelabs is a product-driven venture-development firm that works with a range of startups and big brands to create compelling, successful, award-winning application. We help people perfect and realise their visions for digital products. While others may just churn out what a client asks for, we strive to truly understand the problems our clients are aiming to solve and will stop at nothing to build solid products that we re proud of. Roles and Responsibilities Build scalable ETL/ELT pipelines. Design workflow orchestration pipelines using Apache Airflow or equivalent. Develop data transformation pipelines using dbt or similar frameworks. Design operational and analytical data models. Work with structured and semi-structured enterprise datasets. Optimize large-scale data processing workloads. Design scalable backend applications using Python. Build RESTful APIs and enterprise backend services. Design reusable and maintainable backend architecture. Design and implement enterprise AI applications using LLMs. Build Retrieval-Augmented Generation (RAG) solutions for enterprise knowledge retrieval. Develop Agentic AI workflows using orchestration frameworks. The Ideal Candidate 10-15 years of experience in backend engineering, AI, or data engineering. Strong experience leading engineering teams. Hands-on experience building enterprise AI solutions. Experience designing scalable cloud-native platforms. Strong understanding of distributed systems, data architecture, and enterprise software development. Excellent communication and stakeholder management skills. Got what it takes Want to join the team Submit your application we respond to most inquiries within three business days. Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .
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.