Founding Engineer

Posted 21 Days Ago
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San Francisco, CA, USA
In-Office
Mid level
Agency • HR Tech • Professional Services
The Role
Build and ship backend systems for an early-stage AI/LLM startup: design and implement large-scale web services in Python/Django, optimize database and backend performance, work with distributed systems (Kafka, Cassandra, Redis, Elasticsearch), deploy on AWS, and own projects end-to-end in production.
Summary Generated by Built In
HMBL is your premiere Talent Partner and Executive Search Solution. We were founded on the fact that technical recruiting is most fruitful via partnership --than it is transactional.

We partner the most innovative, cutting-edge tech companies. HMBL stances its foundational values around transparency, overcommunication, and the desire to improve. We leverage best industry practices, historical and predictive data and AI to acquire the industry's top 5% of technical talent.

Are you passionate about making the impossible possible? Are you interested in working with the best and brightest in the tech industry? Do you want to work on the front-lines of innovation?

We have what you're looking for!

Stay hungry. Stay HMBL.

We're seeking a Founding Software Engineer for an early staged AI & LLM startup based in San Francisco.

About the Role

  • Hands on experience developing technology using Python
  • A builder of business logic with Web Framework such as Django and MySQL
  • Experienced in Nginx, Kafka, MySQL, Cassandra, Redis, and big data platforms
  • A developer that writes reusable, testable and efficient code
  • An effective communicator at all levels

Requirements

  • 3+ years of experience in developing/architecting large scale Web services
  • Bachelors, Master or PhD in Computer Science or related fields from a top University
  • Experience in databases, distributed systems, and backend performance measurement and optimization
  • Experience in Python or other programming languages such as Go, Java, or C++
  • Experience in web frameworks such as Django
  • Experienced in MySQL, Redis, Elastic Search, Kafka, and Cassandra
  • Good understanding of database internals like transactions and indexes. Experience in database schema design
  • Experience in working on the AWS
  • Wants ownership and impact and looking to own projects from end to end
  • Substantial production server experience or equivalent

Equal Opportunity Employer:
We are an equal opportunity employer and value diversity at our company. We prohibit any form of workplace discrimination based on race, color, ethnicity, national origin or ancestry, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities

Skills Required

  • 3+ years developing/architecting large scale web services
  • Bachelors, Master or PhD in Computer Science or related field from a top university
  • Hands-on experience developing technology using Python
  • Experience in web frameworks such as Django
  • Experience with MySQL, Redis, Elasticsearch, Kafka, and Cassandra
  • Experience in databases, distributed systems, and backend performance measurement and optimization
  • Good understanding of database internals (transactions, indexes) and database schema design
  • Experience working on AWS
  • Substantial production server experience or equivalent
  • Familiarity with Nginx and big data platforms
  • Experience in other programming languages such as Go, Java, or C++ (optional alternative/complementary)
  • Strong communication skills and desire for ownership/impact
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The Company
5 Employees
Year Founded: 2018

What We Do

HMBL is a premier strategic growth partner specializing in executive search and data-driven technical recruiting. Founded in 2018 in Los Angeles, the firm helps innovative, cutting-edge tech companies hire exceptional technical talent by leveraging industry best practices, predictive data, and AI, prioritizing a partnership-based approach over transactional recruiting.

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