Principal Software Engineer

Job not on LinkedIn

🕒 January 22

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

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Demandbase

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2005

🤝 B2B

☁️ SaaS

🤖 Artificial Intelligence

B2B • SaaS • Artificial Intelligence

Demandbase is a B2B pipeline AI platform that helps go-to-market teams (marketing, sales, revenue operations, and customer success) identify, prioritize, and engage buying groups to accelerate pipeline and revenue. The SaaS platform unifies first-, second-, and third-party data, provides intent detection, account and buying-group identification, web personalization, advertising, and orchestration across the tech stack, and delivers actionable AI-powered insights to drive account-based marketing and sales at scale.

📋 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.

🎯 Requirements

• 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

🏖️ Benefits

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