Building the aircraft and technologies to define the next era of aerospace and defense. Backed by AlleyCorp.
About the role
Headquartered in Silicon Valley, California, Archer is a leader in the next-gen aerospace sector building an end-to-end advanced air mobility platform that delivers air taxis, unmanned aircraft systems (“UAS”), aviation-related physical artificial intelligence (“AI”) solutions, and other technologies to customers worldwide across the commercial aerospace and defense sectors. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Architect, design, and implement distributed data services to support largescale data processing needs
- Lead the orchestration and optimization of high-volume ETL pipelines for timeseries and telemetry data, including end-to-end pipelines critical to flight test programs
- Oversee and manage Kubernetes-native autoscaling services to efficiently handle dynamic workloads
More about this role
Headquartered in Silicon Valley, California, Archer is a leader in the next-gen aerospace sector building an end-to-end advanced air mobility platform that delivers air taxis, unmanned aircraft systems (“UAS”), aviation-related physical artificial intelligence (“AI”) solutions, and other technologies to customers worldwide across the commercial aerospace and defense sectors.
Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.
What You’ll Do
- Architect, design, and implement distributed data services to support largescale data processing needs.
- Lead the orchestration and optimization of high-volume ETL pipelines for timeseries and telemetry data, including end-to-end pipelines critical to flight test programs.
- Oversee and manage Kubernetes-native autoscaling services to efficiently handle dynamic workloads.
- Architect and implement data threshold–based alerting pipelines, and partner...
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