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Open nowPosted 312 days ago

Staff Engineer - UB

Scrabble

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Your applicationOpen nowStaff Engineer - UBScrabble

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The clock on this job

Early applications get read.

11.9% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.9%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 312 days ago

The posting

Software Engineer

Company Overview

A seed funded security startup

Job Summary

The Software Engineer will play a crucial role in developing and improving product features, building strong cloud infrastructure, and shaping the technical strategy of the organization. The position emphasizes hands-on coding and proactive problem-solving, contributing to the company's success in a fast-paced environment.

Responsibilities

  • Engage in Hands-On Coding: Dedicate most of your time to coding, developing, and owning features across the product stack from conception to deployment.
  • Build Systems and Cloud Infrastructure: Design, build, and scale robust systems and cloud infrastructure to support applications and secure interactions with major AI platforms.
  • Define Technical Strategy and Culture: Collaborate closely with the founding team to shape technical strategies, influence product development, and establish engineering culture and best practices.
  • Proactive Problem Solving: Drive success by contributing proactively without waiting for established processes.
  • Embrace Fast-Paced Development: Thrive in a fast-paced environment, iterating and testing according to lean startup practices.
  • Demonstrate Quality and Foresight: Analyze potential outcomes and demonstrate foresight, ensuring quality results in all aspects of your work.

Qualifications

  • Experience in scalable companies.
  • Proven ability to build complex systems from scratch.
  • Experience with cloud infrastructure.
  • Previous startup experience (nice to have).
  • Experience building in the AI stack or a strong desire to learn (nice to have).
  • Educational qualifications such as a Bachelor’s or Master’s Degree in Computer Science or a related field.

Preferred Skills

  • Familiarity with Python and Next.js.
  • Knowledge of AI technologies such as Open AI, Anthropic, and Google Vertex AI.
  • Proficiency in Azure and Kubernetes (K8s).

Experience

Specific years of experience and types of relevant experience are not specified.

Environment

Typical work setting details such as location (remote, in-office, hybrid) are not provided.

Salary

Salary details have not been specified.

Growth Opportunities

Potential career advancement opportunities within the company have not been provided.

Benefits

Offered benefits, such as insurance, paid leave, and work policies, have not been specified.

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