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Requirements:
Masters or PhD degree in Computer Science, Computer Engineering, or a related field.

Deep knowledge of OS internals, particularly kernel memory management and I/O paths.

Strong understanding of memory safety requirements in kernel space.

Proven hands-on experience in Linux kernel driver development and kernel modules.

Solid understanding of virtualization fundamentals (KVM, hypervisors).

Practical experience with emulation frameworks, specifically QEMU internals or custom device models.

Familiarity with hardware-level protocols: PCIe, DMA, MMIO, and IOMMU.

Language: English at a proficient level. French is a plus.

Requirements:
Qualifications
B.Sc. in Computer Sciences or similar.
At least 4 years of experience in Python backend development.
Experience with prompt engineering and optimization.
Profound knowledge in OOP and design patterns.
Experience and knowledge of server-side technologies such as FastAPI, Pydantic, Alembic.
Experience with Docker containers, Kubernetes and Cloud environments.
Expertise in testing methodologies (Unit-testing, TDD, mocking).
Fluent with Relational databases (SQL).
Good problem-solving and analysis abilities.
Excellent team player with strong communication skills.

Agentic AI Experience
1+ year building agentic AI systems or autonomous agents.
Experience with agent frameworks and orchestration tools (AutoGen, LangChain, CrewAI or similar).
Understanding of ReAct, Chain-of-Thought, and other reasoning patterns.
Knowledge of tool use and function calling in AI systems.
Understanding of agent safety, reliability, and error handling.

Requirements - Advantage
Experience in Java backend development.
Experience and knowledge of server-side technologies such as Java, Spring.
Experience with Azure / GCP cloud services.
Experience with agent evaluation and testing methodologies.
Experience with large scale SQL / NoSQL databases (SingleStore, Postgres).
Experience with Azure OpenAI Service and Azure AI services.
Experience with Agile Development, or Extreme Programming methodologies.

Requirements:
Qualifications
B.Sc. in Computer Sciences or similar.
At least 5 years of experience in Python backend development.
Experience with prompt engineering and optimization.
Profound knowledge in OOP and design patterns.
Experience and knowledge of server-side technologies such as FastAPI, Pydantic, Alembic.
Experience with Docker containers, Kubernetes and Cloud environments.
Expertise in testing methodologies (Unit-testing, TDD, mocking).
Fluent with Relational databases (SQL).
Good problem-solving and analysis abilities.
Excellent team player with strong communication skills.

Agentic AI Experience
1+ year building agentic AI systems or autonomous agents.
Experience with agent frameworks and orchestration tools (AutoGen, LangChain, CrewAI or similar).
Understanding of ReAct, Chain-of-Thought, and other reasoning patterns.
Knowledge of tool use and function calling in AI systems.
Experience with agent evaluation and testing methodologies.
Understanding of agent safety, reliability, and error handling.

Requirements - Advantage
Experience in Java backend development.
Experience and knowledge of server-side technologies such as Java, Spring.
Experience with Azure / GCP cloud services.
Experience with large scale SQL / NoSQL databases (SingleStore, Postgres).
Experience with Agile Development, or Extreme Programming methodologies.
Experience with Azure OpenAI Service and Azure AI services.

Requirements:
Requirements:
2-5 years of experience in Technical Support, Tier 2 Support, Technical Services, or a similar customer-facing technical role.
At least 2 years of hands-on experience with Kubernetes, Docker, or containerized environments.
Strong troubleshooting and analytical skills, with the ability to independently investigate complex technical issues.
Good understanding of REST APIs, HTTP, JSON, and web-based applications.
Hands-on experience working with Linux systems and application logs.
Good understanding of networking concepts such as DNS, ports, certificates, proxies, and load balancers.
Experience working with relational databases and SQL.
Ability to reproduce technical issues and clearly document findings and steps to reproduce.
Strong written and verbal communication skills in English.
Strong ownership mindset and the ability to work directly with enterprise customers and cross-functional engineering teams.

Nice to have:
Experience with cloud platforms such as AWS, Azure, or GCP.
Familiarity with authentication and authorization technologies such as OAuth 2.0, OIDC, JWT, SAML, IAM, or access management..

Requirements:
12+ years of hands-on software engineering experience
7+ years of experience in engineering technical leadership or management as an architect, team lead, or tech lead
System-wide knowledge of building and scaling a SaaS product
Proven proficiency in JS / TypeScript.
Strong analytical skills to translate business requirements into technical design
Production-grade SaaS experience
Deep expertise in AWS cloud environments
BS degree in Computer Science, Software Engineering, or related domains

Requirements:
7+ years of professional software engineering experience.
Strong TypeScript - the primary language across our backend, frontend, and agent code.
Proficiency in modern UI frameworks like React, Angular, or Vue, combined with a strong understanding of JavaScript.
A minimum of 3 years of production experience in backend development using Node.js.
Production experience with LLM-based applications, including prompt engineering, agent/tool-calling design, and RAG.
Hands-on experience with an agent framework (e.g., LangGraph, LangChain).
Vector databases and semantic search with embedding-based retrieval.
Cloud experience on AWS - compute, storage, IAM, and managed LLM services (e.g., Bedrock or equivalent).
Solid web fundamentals - REST APIs, WebSockets, auth (token/OIDC), and modern React.
Docker and standard CI/CD practices.