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Striim, Inc.

Forward Deployed Engineer

United States - Remote (Remote)$205k–$220kmidAdded 3 days ago

About this role

Striim seeks a Forward Deployed Engineer to serve as a technical leader and customer advocate, spending 40-50% of time writing production code and architecting real-time data solutions while building long-term enterprise relationships. You'll implement complex data pipelines, lead Kafka and CDC integrations across multi-cloud environments, and influence product strategy based on customer insights.

What you'll do

  • Lead end-to-end implementation of real-time data pipelines using CDC, Kafka, and multi-cloud technologies (AWS, GCP, Azure)
  • Build custom connectors and production-grade systems in Java and Python; architect APIs and data pipelines
  • Design and optimize Kubernetes deployments for containerized data workloads at enterprise scale
  • Debug complex issues across distributed systems and act as technical escalation for customer challenges
  • Partner with customers across full lifecycle from pre-sales architecture through post-sales adoption and expansion
  • Translate customer needs into actionable product requirements and influence engineering roadmap priorities

What they're looking for

  • Java and Python programming (expert-level)
  • Real-time data integration and CDC technologies
  • Kafka and distributed data systems
  • Kubernetes, Docker, and containerization
  • Multi-cloud architecture (AWS, GCP, Azure)
  • Solution architecture and system design
  • Customer-facing technical leadership
  • Enterprise integration patterns
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Striim, Inc.

Striim builds real-time data solutions for enterprise clients. The company is hiring technical customer-facing roles, including Forward Deployed Engineers and Field Engineers, to support customers throughout their lifecycle with hands-on implementation and technical guidance.

Website
striim.com
View all jobs at Striim, Inc.

Likely interview questions

  • Walk us through a complex end-to-end data pipeline you architected—what were the key technical decisions and how did you handle scalability at enterprise volume?
  • Describe your experience translating customer business requirements into technical solutions; how do you balance what customers ask for with what they actually need?