This is a hands-on leadership role combining deep technical expertise, architectural ownership, and the ability to build a strong, distributed team.
Youll work closely with architects, product, and field engineers while playing a central role in shaping the foundation of our next-generation data collection and delivery pipeline.
What will you do?
Lead a strong technical team
Manage the data pipeline and lead the development of a Data Fetcher component to be deployed in either cloud or customer on-premise environments.
Oversee remote management and deployment processes for sensors and Edge servers at customer sites.
Research, Experiment and deploy new technologies to allow data collection from a multitude of resources facing challenging constraints.
Ensure seamless integration with multi-cloud environments, APIs, and customer-specific systems.
Develop solutions that meet SaaS standards while maintaining true on-premises functionality.
Optimize system performance (RPM, CPU usage) to ensure efficient use of resources without scaling infrastructure unnecessarily.
Help define and shape the team as a major knowledge center in the company.
Influence and build core product components that make a real impact in the field- not maintenance work.
3+ years of experience in a management role, including ownership of architectural decision-making.
5+ years of hands-on backend development experience
Strong in Golang, Kubernetes, Linux, networking (TCP/HTTP).
Experience with distributed systems, low-level concepts, and cloud-native environments.
Able to manage offshore teams, lead by example, and own architecture end-to-end.
Adaptive, independent, and excited about learning fast and switching contexts.
Experience or a strong interest in integrating AI into your development workflow to boost productivity and innovation.
A genuine passion for technology and a drive to solve complex challenges.
A leader who leads by examplecomfortable contributing directly to the codebase and influencing key architectural directions.























