The Staff Software Engineer, Data will design and build scalable data infrastructure to support ... Sift offers transformative tools for machine creators to innovate at speed and scale. Founded in ...
22 Sift Machine Learning Engineer Jobs Hiring Near You
The Staff Software Engineer, Data will design and build scalable data infrastructure to support ... Sift offers transformative tools for machine creators to innovate at speed and scale. Founded in ...
Account Executive
San Francisco, CA · On-site
Sift is a company that builds infrastructure for engineering teams to design, test, and operate complex machines. As an Account Executive, you will manage complex sales cycles with engineering teams ...
Account Executive
San Francisco, CA · On-site
Sift is a company that builds infrastructure for engineering teams to design, test, and operate complex machines. As an Account Executive, you will manage complex sales cycles with engineering teams ...
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Job description
Job Summary:
Siftstack is redefining how modern machines are built, tested, and operated, focusing on real-time observability over high-frequency telemetry. The Staff Software Engineer, Data will design and build scalable data infrastructure to support advanced engineering teams, defining core architecture for a telemetry platform that ingests millions of data points per second.
Responsibilities:
• Design and build a horizontally scalable platform for ingesting millions of hardware sensor data points per second
• Develop durable, efficient database solutions to support real-time reads and large-scale analytics workloads
• Pioneer data architecture by integrating recent innovations in streaming and storage, including cloud-native and diskless designs
• Help define engineering culture, standards, and processes
• Collaborate closely with peers on architecture, design, code reviews, and scaling strategies
Qualifications:
Required:
• Bachelor's degree in Computer Science, Engineering, Physics, or another STEM discipline
• 7+ years of experience in backend, infrastructure, or data engineering roles
• Hands-on experience with event-time-based stream processing or streaming SQL systems using tools like Apache Flink, Kafka Streams, Beam, or similar
• Proficiency with relational and time-series databases like PostgreSQL, Druid, Pinot, TimescaleDB, or equivalent
• Experience with large-scale distributed systems or low-latency backend services, ideally written in Go, Rust, or Python
• Familiarity with DevOps and cloud infrastructure tools such as Kubernetes, Prometheus, ArgoCD, and Terraform
• Strong communication skills and a collaborative approach to problem-solving
• U.S. Citizenship or Green Card status is required to meet ITAR / EAR compliance requirements
Preferred:
• Familiarity with telemetry data from hardware systems, high-throughput ingest pipelines, or columnar storage formats like Apache Arrow and Parquet
• Experience building resilient, performant systems that scale to billions of records
• Curiosity about new data paradigms and eagerness to evaluate and integrate emerging tools and techniques
Company:
Sift offers transformative tools for machine creators to innovate at speed and scale. Founded in 2021, the company is headquartered in El Segundo, USA, with a team of 51-200 employees. The company is currently Early Stage.
Siftstack is redefining how modern machines are built, tested, and operated, focusing on real-time observability over high-frequency telemetry. The Staff Software Engineer, Data will design and build scalable data infrastructure to support advanced engineering teams, defining core architecture for a telemetry platform that ingests millions of data points per second.
Responsibilities:
• Design and build a horizontally scalable platform for ingesting millions of hardware sensor data points per second
• Develop durable, efficient database solutions to support real-time reads and large-scale analytics workloads
• Pioneer data architecture by integrating recent innovations in streaming and storage, including cloud-native and diskless designs
• Help define engineering culture, standards, and processes
• Collaborate closely with peers on architecture, design, code reviews, and scaling strategies
Qualifications:
Required:
• Bachelor's degree in Computer Science, Engineering, Physics, or another STEM discipline
• 7+ years of experience in backend, infrastructure, or data engineering roles
• Hands-on experience with event-time-based stream processing or streaming SQL systems using tools like Apache Flink, Kafka Streams, Beam, or similar
• Proficiency with relational and time-series databases like PostgreSQL, Druid, Pinot, TimescaleDB, or equivalent
• Experience with large-scale distributed systems or low-latency backend services, ideally written in Go, Rust, or Python
• Familiarity with DevOps and cloud infrastructure tools such as Kubernetes, Prometheus, ArgoCD, and Terraform
• Strong communication skills and a collaborative approach to problem-solving
• U.S. Citizenship or Green Card status is required to meet ITAR / EAR compliance requirements
Preferred:
• Familiarity with telemetry data from hardware systems, high-throughput ingest pipelines, or columnar storage formats like Apache Arrow and Parquet
• Experience building resilient, performant systems that scale to billions of records
• Curiosity about new data paradigms and eagerness to evaluate and integrate emerging tools and techniques
Company:
Sift offers transformative tools for machine creators to innovate at speed and scale. Founded in 2021, the company is headquartered in El Segundo, USA, with a team of 51-200 employees. The company is currently Early Stage.