Principal Software Engineer

Emploi pas sur LinkedIn

🕒 il y a 4 mois

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🔴 Expert

🧑‍💻 Développeur Full-Stack

🦅 Parrain de Visa H1B

info

🗣️🇺🇸🇬🇧 Anglais requis

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Demandbase

501 - 1000 employés

Fondée en 2005

🤝 B2B

☁️ SaaS

🤖 Intelligence artificielle

B2B • SaaS • Artificial Intelligence

Demandbase est une plateforme d'IA pour la génération de pipeline B2B qui aide les équipes de mise sur le marché (marketing, ventes, opérations de revenus, et réussite client) à identifier, prioriser, et engager les groupes d'achat pour accélérer le pipeline et le revenu. La plateforme SaaS unifie les données de première, deuxième et troisième partie, fournit une détection d'intention, l'identification de comptes et de groupes d'achat, la personnalisation web, la publicité, et l'orchestration à travers la pile technologique, et délivre des insights exploitables alimentés par l'IA pour piloter le marketing et les ventes basés sur les comptes à grande échelle.

Description

• Lead technical direction and architecture across projects involving scalable microservices distributed systems and modern data platforms. • Lead architecture and implementation of high-impact initiatives such as the Next-Gen Orchestration Engine (NGOE) and MCP Gateway. • Integrate generative and agentic AI capabilities into the platform to drive customer outcomes. • Partner with Product and Engineering leadership to translate product vision into actionable technical roadmaps. • Maintain high standards for quality security system resiliency performance and operational efficiency. • Stay hands-on by participating in technical design reviews code reviews architectural planning and incident retrospectives. • Champion modern engineering practices such as continuous delivery test automation and cloud-native deployment. • Mentor senior and staff engineers and contribute to the growth of engineering leadership within the team. • Represent the platform team in broader architectural discussions and technical forums.

🎯 Exigences

• 10+ years of professional software engineering experience • Strong architectural and technical leadership in data-heavy integration-driven cloud-native platforms • Deep understanding of system design architectural trade-offs and performance tuning at scale • Experience building AI agents agentic workflows reusable AI capabilities and MCP servers/clients • Proficient in modern backend languages (Java Scala or Python preferred) and SQL • Hands-on experience with data systems like Postgres Snowflake Redis/Aerospike and messaging systems like Kafka or Pulsar • Experience with modern infrastructure including CI/CD pipelines Kubernetes and cloud platforms (AWS GCP or Azure) • Experience in agile development methodologies like Scrum Kanban or SAFe

🏖️ Avantages

• Health insurance • 401(k) • Paid time off • Flexible work arrangements • Professional development opportunities • Wellness programs

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