StepUp Solutions, Inc.

United States
2 Total Employees
Year Founded: 1999

Jobs at StepUp Solutions, Inc.

Let Your Resume Do The Work
Upload your resume to be matched with jobs you're a great fit for.

7 Hours AgoSaved
In-Office
San Francisco, CA, USA
Information Technology • Professional Services • Consulting • Defense
Lead design and implement scalable data infrastructure and transformations. Build data repositories, convert data science algorithms into robust pipelines, mentor a small data engineering team, ensure delivery quality, and collaborate with Product, Data Analysts, and Data Scientists.
7 Hours AgoSaved
In-Office
San Mateo, CA, USA
Information Technology • Professional Services • Consulting • Defense
Contract Technical Sourcer partners with recruiters and hiring managers to proactively identify, screen, and qualify software, hardware, infrastructure, and IT engineering candidates. Uses Boolean searches and creative sourcing methods to build diverse pipelines, maintain candidate engagement, and assess fit for roles while supporting overall recruiting goals.
7 Hours AgoSaved
In-Office
San Francisco, CA, USA
Information Technology • Professional Services • Consulting • Defense
Develop and optimize firmware for Embedded Android/Embedded Linux IoT devices, including board bring-up, low-level device drivers, power optimization, hardware debugging, and cross-functional collaboration with mobile, backend, and electrical teams.
7 Hours AgoSaved
In-Office
Sunnyvale, CA, USA
Information Technology • Professional Services • Consulting • Defense
Design and implement scalable data infrastructure and production data transformations. Lead and mentor a small Data Engineering team, ensure quality delivery, collaborate with Product, Data Analysts, and Data Scientists to operationalize algorithms and build robust data repositories.
7 Hours AgoSaved
In-Office
San Francisco, CA, USA
Information Technology • Professional Services • Consulting • Defense
Design, implement, and maintain scalable data infrastructure and real-time processing for analytics platforms. Migrate systems from AWS to on-prem Kafka/Spark, implement data transformations, support production, optimize pipelines, query and analyze data, and build scripts and APIs to operationalize data science work.