Product Engineer – Analytics as a Service
Core
Design, build, and deliver cloud-native analytics services and SaaS applications as a full-stack product builder.
Role type
Senior full-stack product engineer (cloud-native analytics)
Builds
Cloud-native analytics services, APIs, data pipelines, and user interfaces
Domain
SaaS, Cloud Infrastructure, Data Analytics
Deliverable
production ML models | product features
Required skills
Full-stack development, Cloud-native architecture, SaaS application development, Agile delivery, Rapid prototyping, Customer feedback integration, Software quality assurance, Scalable system design
Preferred skills
Microsoft Azure, AWS, Kubernetes, Modern web frameworks, Distributed systems, Industrial IoT, Data analytics platforms, AI-assisted development
Technologies
Azure, AWS, Kubernetes, Web frameworks
Responsibilities
Design and develop backend services, APIs, and data pipelines; Use AI tools to accelerate coding, testing, and documentation; Collaborate with Product Owners and Customer Success to validate assumptions and deliver frequent releases; Participate in architecture discussions and peer reviews; Maintain high automated test coverage and rapid release cadence.
Seniority
Senior, hands-on IC
