Python Developer

Work Mode: Hybrid (3 days a week from the office)Experience: 5+ yearsAs a Software Engineer you willJoin a world-class team of Quantum and AI experts with an extensive track record in bothacademia and industry.Work with Fortune-500 customers from government and private sectors.Contribute to our groundbreaking compressing toolTackle high value open problems from industry.Take on technical leadership and work together with software and DevOps engineers aswell as our machine learning and quantum experts to industrialize the company’s coretechnologiesRequired QualificationsSoftware EngineeringProven track record designing and implementing production-grade software running under real loadSolid grasp of clean architecture, separation of concerns, SOLID principles, testability and maintainability as first-class concernsExperience with software design patterns and sound judgment on when (and when not) to apply themUnderstands service-level architecture: API design, layered architectures, event-driven patterns, and how to structure code that outlives its authorGood grounding in software security principles: input validation, secret management, dependency auditing, container hardening, secure API designExperience with containerized deployment fundamentals (Docker) and CI/CD conceptsPython coding experience.Soft SkillsProposes 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 stepsActs as developer, mentor, and reviewer in the same sprint - writes production code, gives PR feedback to mid-level engineers, upholds review standardsCommunicates technical risk clearly - surfaces blockers early with contextComfortable with ambiguity and working under pressure; self-directedCollaborates cross-functionally (MLOps, DevOps, Platform Engineering) without needing amanager to mediatePreferred QualificationsML & LLM ExposureExposure to PyTorch and/or HuggingFace Transformers (fine-tuning, inference, compressionworkflows)Familiarity with ML infra concepts: training orchestration, experiment tracking, GPU jobAwareness of LLM techniques: distillation, quantization, pruning, inference servingSome exposure to GPU-aware engineering (CUDA, mixed precision, multi-GPU) is a plusTooling & InfrastructureECR, ArgoCD/Helm, structured CI/CD pipelines beyond basic DockerAsync long-running job orchestration patternsVariable performance bonus.Signing bonus.Relocation package (if applicable).Flexible remuneration: hospitality and public transportation.Eligibility for educational budget according to internal policy.Flexible working hours.Language classes and discounted lunch options#J-*****-Ljbffr

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 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

Variable performance bonus.Signing bonus. Relocation package (if applicable). Flexible remuneration: hospitality and public transportation. Eligibility for educational budget according to internal policy. Flexible working hours. Language classes and discounted lunch options #J-*****-Ljbffr

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