Principal Software Engineer, Docker Agents

🕒 vor 7 Monaten

🇬🇧 Vereinigtes Königreich – Remote

⏰ Vollzeit

🔴 Experte

🧑‍💻 Full-Stack-Entwickler

👻 Geisterscore 46%

Was es bedeutet: wie wahrscheinlich diese Stelle offen bleibt, ohne dass aktiv eingestellt wird.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Wie wir werten: Dauer offen, Neuveröffentlichungen, offene Stellen vs Teamgröße, wie schnell Stellen geschlossen werden, und ob ein Gehalt angegeben ist.Hinweis: eine Schätzung aus öffentlichen Daten, kein Urteil über das Unternehmen. Echte Stellen können hoch punkten, nutze es also als Hinweis, nicht als Fakt.

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Docker, Inc

WebsiteLinkedInAlle Stellen

51 - 200 Mitarbeiter

💼 Beratung

☁️ SaaS

💰 €105.000.000 Series C im 2022-03

Consulting • SaaS

Bei Docker vereinfachen wir das Leben von Entwicklerinnen und Entwicklern, die weltverändernde Apps erstellen. Docker hilft ihnen, ihre Ideen in die Realität umzusetzen, indem wir die Komplexität der Anwendungsentwicklung beherrschbar machen. Wir vereinfachen und beschleunigen Workflows mit einer integrierten Entwicklungspipeline und Anwendungskomponenten. Docker Desktop und Docker Hub, die weltweit von Millionen von Entwicklerinnen und Entwicklern aktiv genutzt werden, bieten unvergleichliche Einfachheit, Agilität und Wahlfreiheit.

Beschreibung

• Technical Leadership & Architecture: Define and drive the long-term technical strategy for Docker’s containerized agent platform, including core primitives, APIs, and extensibility patterns • Build Containerized Agent Systems: Design and implement systems that leverage Docker containers as the ideal runtime for AI agents, ensuring isolation, scalability, and portability • Expand cagent: Maintain and evolve the open-source cagent project, adding new capabilities for containerized agent deployment, orchestration, and lifecycle management • Agent Runtime Development: Build robust infrastructure for packaging, deploying, and managing agents in containers across local and cloud environments • Evaluation & Testing: Define evaluation frameworks to measure agent quality, reliability, and production readiness; plus the deployment effectiveness of containerized runtimes • Reliability & Operability: Establish standards for observability, performance, and operational excellence; lead critical production decision-making and incident learnings as needed • Rapid Prototyping: Iterate quickly on new agent capabilities and deployment patterns, moving from concept to production efficiently • Open Source Community: Engage with the cagent community, review contributions, and help grow the ecosystem • Cross-functional Collaboration: Lead cross-functional technical discussions and influence architectural decisions across Docker’s AI initiatives (including sister teams and platform efforts) • Mentorship & Enablement: Mentor senior engineers, raise the bar through design reviews, and accelerate team execution through clear technical direction and coaching

🎯 Anforderungen

• 10+ years of software engineering experience, including 3+ years in technical leadership roles (Staff/Principal level or equivalent scope) • Go Expertise: Strong proficiency in Go (this is absolutely required) - Docker’s primary language for backend systems • AI/ML Knowledge: Practical experience with large language models (LLMs) and agent development patterns • System Architecture: Proven ability to design scalable, distributed systems in production environments • Container Technology: Deep understanding of Docker, containerization best practices, and container orchestration • Cloud/Platform Depth: Experience building and operating platform services with strong foundations in observability, CI/CD, and security principles • Operational Excellence: Experience operating and evolving high-availability production systems with a focus on reliability and performance • Influence & Communication: Exceptional communication skills and ability to influence across technical and business domains • AI Frameworks: Experience with CrewAI, AGNO, ADK, LangChain/LangGraph or similar AI orchestration frameworks (preferred) • Python Proficiency: Experience with Python for AI prototyping and tooling (preferred) • Experience with Kubernetes or container orchestration platforms (preferred) • Open source contributions and community engagement (preferred) • Experience with agent evaluation, reliability, and observability techniques (preferred)

🏖️ Vorteile

• 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 • Technology stipend equivalent to $100 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