Randstad US • San Francisco, CA 94103
Job #2690218649
full stack software engineer.
san francisco , california
posted april 26, 2024
job details
summary
$100,000 - $150,000 per year
permanent
bachelor degree
category computer and mathematical occupations
reference1050326
job details
Full Stack Software Engineer needed for an exciting start up in the SF Bay Area.
We are seeking a skilled individual to join our team in a pivotal role where you'll be at the forefront of shaping the technical backbone of our platform. As a vital member of our engineering cohort, you'll play a crucial part in architecting and implementing the intricate machinery that underpins our platform's functionality. From the client-side SDKs to the cloud-based backend, your expertise will be instrumental in ensuring that our systems are not just functional, but scalable, efficient, and easily maintainable. Collaborating closely with AI specialists and user experience engineers, you'll be immersed in a dynamic environment where innovation and problem-solving are the norm. If you're passionate about crafting elegant solutions that span the entire spectrum of client and cloud requirements, and thrive in a collaborative setting where simplicity, scalability, and maintainability are paramount, then this role is tailor-made for you.
Proficiency in production-level coding across Python, C++, and C#.
Experience in building containerized applications and/or SDKs for game engines.
Aptitude for designing, coding, and deploying comprehensive software systems.
Eagerness to delve into unfamiliar codebases for debugging and learning purposes.
location: San Francisco, California
job type: Permanent
salary: $100,000 - 150,000 per year
work hours: 8am to 4pm
education: Bachelors
Creating scalable, reliable and efficient containerized backend services.
Designing and implementing efficient, easy to use client SDKs for game developers.
Developing workflows and automation that help other engineers work efficiently.
Building systems that can perform low latency ingestion, analysis and indexing of high volume data sets.
Experience level: Experienced
Minimum 2 years of experience
Education: Bachelors
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