
51 - 200 employés
💼 Conseil
☁️ SaaS
💰 €105 000 000 Series C en 2022-03
Consulting • SaaS
Chez Docker, nous simplifions la vie des développeurs qui créent des applications capables de changer le monde. Docker aide les développeurs à concrétiser leurs idées en maîtrisant la complexité du développement applicatif. Nous simplifions et accélérons les workflows grâce à un pipeline de développement intégré et à des composants applicatifs. Utilisés activement par des millions de développeurs dans le monde, Docker Desktop et Docker Hub offrent une simplicité, une agilité et un choix inégalés.
🕒 il y a 2 mois
🗣️🇺🇸🇬🇧 Anglais requis
AWS
Azure
Cloud
Distributed Systems
Docker
Google Cloud Platform
Java
Kubernetes
Open Source
Oracle
Postgres
Python
Redis
Rust
Terraform
Go
Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

51 - 200 employés
💼 Conseil
☁️ SaaS
💰 €105 000 000 Series C en 2022-03
Consulting • SaaS
Chez Docker, nous simplifions la vie des développeurs qui créent des applications capables de changer le monde. Docker aide les développeurs à concrétiser leurs idées en maîtrisant la complexité du développement applicatif. Nous simplifions et accélérons les workflows grâce à un pipeline de développement intégré et à des composants applicatifs. Utilisés activement par des millions de développeurs dans le monde, Docker Desktop et Docker Hub offrent une simplicité, une agilité et un choix inégalés.
• Join Docker's Agentic Platform team to build the foundational infrastructure powering the next generation of AI-driven workflows. • You'll be working on the core agent execution runtime, orchestration primitives, and the cloud infrastructure that keeps the Agentic Platform running 24/7. • This is a high-ownership role: you won't just build systems, you'll run them, respond when they fail, and drive continuous improvement across the stack. • This is a greenfield opportunity to shape how agents are built and operated at scale. • You'll work alongside seasoned engineers, collaborating with partner teams across AI infrastructure, developer experience, and platform reliability.
• 8+ years of professional, hands-on, full-time software engineering experience in backend, infrastructure, or platform engineering. • Cloud Platform Expertise (AWS/OCI/Azure/GCP): Proven, hands-on experience operating production services in AWS or Oracle Cloud Infrastructure compute, networking, managed services, IAM, and cost management. This is a must-have; the Agentic Platform is a cloud-native service running 24/7. • Service Ownership in a Cloud Setting: You have owned production services end-to-end — on-call, incident response, SLO definition, and post-mortems. You don't just build; you run what you build. • Distributed Systems Design: Deep understanding of fault tolerance, consistency, observability, and scalability in cloud-native environments • Backend Engineering Proficiency: Strong proficiency in at least one backend language used for systems work — Go, Python, Rust, or Java • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. • Strongly Preferred: Go: Professional proficiency in Go — Docker's primary language for backend systems. • Infrastructure as Code: Experience with Terraform for cloud infrastructure provisioning and Helm for Kubernetes application packaging and deployment. • Data Infrastructure: Experience with PostgreSQL and Redis / Pub-Sub patterns for state management, caching, and event-driven agent workflows. • MCP & Agent Tooling: Experience with MCP (Model Context Protocol) server design and integration. • Container & Orchestration: Docker, Kubernetes, or equivalent — especially in the context of agent sandboxing and secure code execution environments. • AI-assisted development tools: Familiarity with Cursor, Claude Code, Copilot, Windsurf, etc. and the developer personas using them. • Agent Evaluation: Experience with LLM-as-judge frameworks, behavioral regression testing, and golden dataset management. • Agent Systems Experience: Hands-on experience building or operating AI agent systems — including multi-agent orchestration, tool use, memory systems, or agent evaluation frameworks. • Open Source: Contributions or community engagement on relevant open source projects. • Must be legally authorized to work in the United States.
• Freedom & flexibility; fit your work around your life • Designated quarterly Whaleness Days plus end of year Whaleness break • Home office setup; we want you comfortable while you work • 16 weeks of paid Parental leave (after 6 months of employment) • Technology stipend equivalent to $100 USD net/month • PTO plan that encourages you to take time to do the things you enjoy • Training stipend for conferences, courses and classes • Equity; we are a growing start-up and want all employees to have a share in the success of the company • Docker Swag • Medical benefits, retirement and holidays vary by country • Remote-first culture, with offices in Seattle and Paris
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