DevJobs

Back End Developer

Overview
Skills
  • ML ML ꞏ 3y
  • Microservices Microservices ꞏ 3y
  • AWS AWS ꞏ 3y
  • Kubernetes Kubernetes ꞏ 3y
  • API Management ꞏ 3y
  • Cloud Infrastructures ꞏ 3y
  • Data Handling ꞏ 3y
  • Data Scraping ꞏ 3y
  • Language Models ꞏ 3y
  • LLM ꞏ 3y

Queue is seeking a skilled Senior Back-End Developer to join our dynamic team. Our ideal candidate is proficient in Data Handling, Language Models (LLM), Machine Learning (ML), Cloud Infrastructures, API Management, and has experience with scraping public data, efficiently storing, and managing collected data. You should be comfortable working with microservices architecture on AWS, and have hands-on experience in setting up and managing Kubernetes for machines and containers. A significant part of your role will involve optimizing and automating deployment and development processes to enhance efficiency and scalability.


Experience Required:


  • 3-5 years of experience as a back-end developer.
  • Minimum of 1 year of experience in a startup environment, preferably at an early stage.
  • Proven experience with language models and machine learning.
  • Familiarity with AWS services and microservices architecture.
  • Demonstrated ability in data handling, API management, and data scraping.


Management Skills:


  • Excellent time management, with the ability to prioritize tasks effectively.
  • Experience in both local and remote team management, with a focus on early obstacle identification.


Character Traits:


  • A hard-working, forward-thinking individual who is keen on advancing their career.
  • Comfortable with startup pressures and adaptable to extended work hours when necessary.
  • Exceptional problem-solving skills, with a knack for proactive solution-seeking.
  • High-level communication skills, with an emphasis on active listening and clear articulation.


Application Process:


To ensure alignment and to respect the valuable time of all parties, we have streamlined our application process. Interested candidates are encouraged to fill out our Application Form, which includes questions designed to assess compatibility with Queue's technical and cultural environment. The form comprises basic information requests, technical questions related to AWS, LLM, and ML, as well as scenario-based queries to evaluate problem-solving approaches. We also encourage sharing examples of past projects or challenges you've navigated successfully, as this will give us a better understanding of your experience and problem-solving capabilities.


Link to the form application- https://forms.gle/wfbXXYiQKZR9U7sb9


By applying through this form, we aim to ascertain mutual fit efficiently, ensuring that proceeding steps, such as interviews, are more productive and meaningful for both parties.


We look forward to discovering how you can contribute to the growth and success of Queue!


Queue