Demandbase is looking to solve complex technical challenges and deliver scalable, high-impact systems to drive measurable customer outcomes.
Requirements
- 10+ years of professional software engineering experience, with at least 2–3 years in a Staff Engineer or Principal Engineer role.
- Demonstrated success leading delivery of distributed systems or cloud-native platforms.
- Proficient in one or more modern backend languages (Java, Scala, Python preferred).
- Experience with modern CI/CD pipelines, container orchestration (Kubernetes), and cloud platforms (AWS, GCP, or Azure).
- Deep understanding of system design, architectural trade-offs, and performance tuning at scale.
- Hands-on experience with AI-driven development tools and their integration into engineering workflows.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent real-world experience.
Responsibilities
- Drive technical direction and architecture across projects involving scalable microservices, distributed systems, and modern data platforms.
- Collaborate with product and engineering leadership to translate product vision into actionable technical roadmaps.
- Stay hands-on by participating in technical design reviews, code reviews, architectural planning, and incident retrospectives.
- Support engineering teams in delivering high-impact work while maintaining quality, security, and system resiliency.
- Partner with Staff and other Principal Engineers to integrate generative and agentic AI capabilities into our platform to drive customer outcomes.
- Champion modern engineering practices such as continuous delivery, test automation, observability, and cloud-native deployment.
Other
- Strong communicator who can bridge technical and business priorities, and foster collaboration across teams.
- A hands-on technical leader who is comfortable engaging in architecture discussions and digging into complex systems when needed.
- Passion for helping engineers grow through mentorship, feedback, and clear goals.
- Strong background in agile development methodologies (Scrum, Kanban, SAFe, etc.).
- Interest in leveraging AI and automation to improve developer experience and product capabilities.
- Proven ability to drive large-scale technical initiatives with cross-functional alignment.
