Live opening · Posted 2 days ago

Junior Software Engineer

Seryx · United States (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 2 days ago
CompanySeryx
LocationUnited States (Remote)
Work modeYes
SkillsPython, TypeScript, GCP
SourceLinkedin
ListedPosted 2 days ago

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About the role

Description supplied by the original job listing.

Company Description
Seryx builds large-scale data pipelines to parse and structure information at a scale made possible by recent advances in generative AI. Our goal is to structure information across various large data sources and extract valuable market signals from it.
Software engineers at Seryx are expected to move quickly and be open to adopting new technologies. You will work closely with founding engineers and receive mentorship from senior engineers with 10+ years of industry experience.
Key Responsibilities
● Design & Develop: Write, test, deploy, and maintain clean, scalable, and maintainable code.
● Problem Solving: Apply fundamental computer science concepts (data structures, algorithms) to solve complex technical problems.
● Collaboration: Partner with founding engineers to expand the breadth and scope of our ingestion pipelines.
● Code Quality & Maintenance: Participate in peer code reviews, fix bugs, write unit and integration tests, and optimize performance.
● Project Delivery: Own individual project deliverables while navigating technical challenges and changing priorities.
Minimum Qualifications
● Education: Bachelor's degree in a STEM field or equivalent practical experience.
● Programming Skills: Python and TypeScript are preferred, but we don’t make hiring decisions strictly on familiarity with a particular programming language.
● Foundational Knowledge: Solid foundation in computer science fundamentals, data structures, algorithms, and software design.
● AI-Assisted Development: Familiarity with AI-assisted and agentic software engineering tools and workflows.
Preferred Qualifications
● 1-2 years of experience in a relevant engineering role.
● Experience building software in the cloud, particularly on GCP.
● Experience with data pipelines, distributed systems, or data-intensive applications.
● Familiarity with Unix/Linux environments.
● Familiarity with web scraping, crawling, or extracting structured information from web sources.
● Exposure to machine learning, generative AI, or cloud infrastructure.
● Strong communication skills and the ability to adapt as project goals and requirements evolve.

Work arrangement
Yes

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