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Wyróżnienie w kategorii Top Innovative Agency in Poland w konkursie LinkedIn Talents Awards 2019 🏆🙏
Software Engineer, Python, Kubernetes, AI/ML
Location
Poland
Posted
92 days ago
Salary
0
Seniority
Senior
Job Description
Software Engineer, Python, Kubernetes, AI/ML
Bee Talents
• Contribute to the development of the Everywhere Inference platform - a Kubernetes-based solution enabling scalable and portable AI inference across a wide range of environments. • Design and implement APIs and developer tools to simplify deployment, management, and monitoring of AI applications. • Focus on packaging and integrating new ML models into the platform, using Python and common ML frameworks. • Optimize serverless container workflows for AI workloads, ensuring performance, scalability, and seamless autoscaling. • Collaborate with customers to fine-tune ML model performance and support their unique use cases. • Work with cross-functional teams to improve the AI applications marketplace and ensure smooth model onboarding and lifecycle management. • Stay current with trends in Kubernetes, machine learning, and MLOps, and help drive innovation within the platform.
Job Requirements
- Proficiency with Python, especially in the context of ML tooling or backend development.
- Experience with AI/ML pipelines or integrating machine learning frameworks like TensorFlow or PyTorch into production environments.
- Hands-on experience with vLLM and SGLang
- Familiarity with cloud-native tooling such as Docker, Helm, and related CNCF technologies.
- A problem-solving mindset and genuine interest in working on distributed systems and platform-level challenges.
- Clear communication skills and a collaborative attitude - you enjoy working closely with others to build great solutions.
- Solid experience with Go programming, particularly in the context of Kubernetes - including building controllers, operators, and working with custom resources (CRDs).
- Strong understanding of Kubernetes architecture, container orchestration, and resource management at scale.
- Understanding of GPU scheduling and performance optimization in Kubernetes.
- Awareness of Kubernetes security practices, including RBAC and container hardening.
- Contributions to open-source projects or involvement in cloud-native or MLOps communities.
Benefits
- Competitive compensation
- Flexible working hours and hybrid or remote options, depending on your role
- Competitive compensation
- Work from anywhere in the world for up to 45 days per year
- Private medical insurance for you and your family*
- Extra paid vacation and sick leave days*
- Support for life’s important moments and celebrations
- Language courses to help you connect and grow
- Modern, welcoming offices with snacks, drinks, and entertainment*
- Team sports and social activities*
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Senior Python Developer
ProvectusWe help businesses leverage cloud, data, and AI to reimagine the way they operate, compete, and deliver customer value.
• Build and optimize RESTful APIs and servers using frameworks such as FastAPI, Django REST, or Flask. • Implement and optimize Retrieval Augmented Generation (RAG) systems; • Profile and optimize Python code to enhance performance; • Collaborate with cross-functional teams, including ML engineers and product managers, to deliver high-quality products; • Write clean, maintainable, and well-documented code; • Stay updated with the latest developments in Python and AI technologies and propose innovative solutions.
• Build and enhance internal systems and platforms. • Develop and improve backend components. • Build robust APIs for internal and external use. • Work closely with the Head of IT and current backend developer to accelerate development projects. • Contribute ideas and improvements for platform growth.
• Design and Implementation: Lead the evolution of Identity and Access Management (IAM) and Customer Identity (CIAM) solutions. • Modern Authorization Policies: Define and maintain authorization policies using Open Policy Agent (OPA) and OpenFGA. • Technical Integration: Build robust Java integrations to connect security ecosystems (Auth0, Ping Identity) with microservices. • Architecture and Governance: Ensure scalability and security in distributed environments, participating in inceptions and technical refinements. • Mentorship: Support the team in technical decision-making, code reviews, and dissemination of security best practices (Secure Coding).



