Staff Software Engineer, Data jobs in United States
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Sift · 5 months ago

Staff Software Engineer, Data

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.

Machine LearningSaaSSoftware
badNo H1BnoteU.S. Citizen Onlynote

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

Qualification

Backend engineeringStreaming SQL systemsRelational databasesDistributed systemsDevOps toolsCloud infrastructureCollaborative problem-solvingCuriosity about data paradigmsCommunication

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

Benefits

Plus equity and benefits.

Company

Sift offers transformative tools for machine creators to innovate at speed and scale.

Funding

Current Stage
Growth Stage
Total Funding
$25M
Key Investors
Google VenturesEarthrise Ventures
2024-06-25Series A· $17.5M
2023-11-07Seed· $7.5M
2022-12-01Pre Seed
Company data provided by crunchbase