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Location: Madrid or Barcelona Work Mode: Hybrid (3 days a week from the office) Experience: 5+ years As a Software Engineer you will · Join a world-class team of Quantum and AI experts with an extensive track record in both academia and industry. · Work with Fortune-500 customers from government and private sectors. · Contribute to our groundbreaking compressing tool · Tackle high value open problems from industry. · Take on technical leadership and work together with software and DevOps engineers as well as our machine learning and quantum experts to industrialize the company’s core technologies Required Qualifications Software Engineering Proven track record designing and implementing production-grade software running under real load Solid grasp of clean architecture, separation of concerns, SOLID principles, testability and maintainability as first-class concerns Experience with software design patterns and sound judgment on when (and when not) to apply them Understands service-level architecture: API design, layered architectures, event-driven patterns, and how to structure code that outlives its author Good grounding in software security principles: input validation, secret management, dependency auditing, container hardening, secure API design Experience with containerized deployment fundamentals (Docker) and CI/CD concepts Python coding experience. Soft Skills Proposes solutions to unfamiliar problems: research first, presents alternatives with trade-offs, doesn’t wait to be told the answerBreaks complex cross-repo issues into sequenced, followable steps Acts as developer, mentor, and reviewer in the same sprint – writes production code, gives PR feedback to mid-level engineers, upholds review standards Communicates technical risk clearly – surfaces blockers early with context Comfortable with ambiguity and working under pressure; self-directed Collaborates cross-functionally (MLOps, DevOps, Platform Engineering) without needing a manager to mediate Preferred Qualifications ML & LLM Exposure Exposure to PyTorch and/or HuggingFace Transformers (fine-tuning, inference, compression workflows) Familiarity with ML infra concepts: training orchestration, experiment tracking, GPU job scheduling Awareness of LLM techniques: distillation, quantization, pruning, inference serving Some exposure to GPU-aware engineering (CUDA, mixed precision, multi-GPU) is a plus Tooling & Infrastructure ECR, ArgoCD/Helm, structured CI/CD pipelines beyond basic Docker Async long-running job orchestration patterns CLI frameworks, Python packaging, Docker multi-stage builds General comfort moving across CLI tooling → API services → infra glue Perks & Benefits · Variable performance bonus.· Signing bonus. · Relocation package (if applicable). · Private health insurance. · Flexible remuneration: hospitality and public transportation. · Eligibility for educational budget according to internal policy. · Flexible working hours. · Language classes and discounted lunch options
Here's where they are and how to stand out in your next interview.
24.795Jobs
9.577IN
74%EN
That number includes positions in India (9,577), Poland (3,429), the United States (1,753), Singapore (787), and Brazil (779). If you're looking to move or work remotely, check which countries match your goals — then filter WorkMundi by location to see what's actually hiring near you.
Most developer ads you'll see are written in English: 18,397 of the 24,795. That doesn't tell you whether the job itself requires you to speak English or work in English daily, so read each posting carefully. Don't assume the language of the ad matches the language of the team.
The employers posting the most developer roles are Link Group (369 jobs), Upvanta (257), jobgether (226), and OfferZen (212). If you're applying to any of these, research their hiring patterns. They move fast and post often, which means they're either scaling hard or replacing people who didn't fit.
In your interview, expect this: 'Walk me through the last time you had to debug something that took you more than an hour. What was it, what did you try first, and what would you do differently?' Hiring managers ask this to see if you think systematically or just try random fixes. Have a real example ready with specifics.