🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
We are seeking a Senior Distributed Systems & ML Engineer to design and build scalable distributed systems, Big Data pipelines, and ML/Generative AI services. This role will contribute to architecture decisions, integrate AI solutions into production, and mentor engineering teams while ensuring high-quality, production-ready code. Key Responsibilities Design, implement, and maintain scalable distributed systems, data pipelines, and ML services . Participate in system architecture discussions and shape production system design decisions . Build and optimize microservices and real-time inferencing solutions powering AI Agents. Collaborate with cross-functional teams to integrate Big Data and Generative AI solutions into platforms such as Lakehouse, Streaming Services, and ETL Pipelines. Write high-quality, production-ready code and engage in design reviews, code reviews, and testing . Mentor junior engineers and contribute to engineering best practices . Requirements Degree in Computer Science, Mathematics, or a related field. 5+ years of experience across the full software development lifecycle (SDLC) including design, coding, testing, deployment, and operations. 3+ years of experience with distributed Big Data systems such as PySpark, Kafka, Lakehouse, Debezium, Druid, or Glue. Hands-on experience delivering ML or Generative AI solutions such as RAG, AI Agents, or LLM fine-tuning in production. Experience deploying large-scale systems on cloud platforms such as AWS, Azure, or GCP. Strong problem-solving skills with the ability to deliver in fast-paced, collaborative environments. Preferred Qualifications MS in Computer Science, Machine Learning, or a related field. Experience with Graph ML such as GNNs or Graph RAG. Advanced experience in Generative AI such as RAG, Knowledge Bases, or AI Agents.
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.