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Sr. Backend (Go) Engineer with BalloonSponsored
San Francisco, Remote$90k - $150k
5 days ago

Job Description

Like building services and RESTful APIs? We use Go to make our Balloon engine…go. We also use MongoDB, Redis, Docker, and we put it all on AWS. You have experience building scalable services for a production environment. You love to build, create, teach, and learn.

We are a pre-Series A startup and building out the core engineering team. Experience building services for production environments is required and early stage startup experience is strongly preferred. You should be:

  • motivated, driven, and a self-starter
  • eager to build and contribute
  • excited to get in on the ground-floor and build a product ready to scale
  • confident and comfortable operating in a fast-paced, ever-changing, and growing entrepreneurial environment

Compensation includes competitive startup salary and equity, and benefits including health, vision, and dental.


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Senior Software Engineer with Blue Labs
Malta / Remote€50k - €100k
1 year ago

Job Description

We are looking for experienced Software Engineers to form a five-strong Founding Team. Being with us from Day 1 you will participate in defining the architecture and technology stack of our next generation sports betting platform.

Together with your peers you will begin to implement some core services while we continue to grow our team to 10-15 software engineers within the first year. Going forward you will assume full responsibility for parts of our platform and/or processes and lead the respective team.

Requirements

  • BS degree in Computer Science, similar technical field of study or equivalent practical experience
  • 5+ years software development experience with one or more general purpose programming languages, ideally including Go, Scala or Erlang
  • Interest and ability to learn other coding languages as needed
  • Experience working with two or more from the following: functional programming, concurrent programming, developing large software systems, distributed systems, web application development, massive data storage, data science and/or machine learning
  • Deep understanding of microservice architecture, SQL/NoSQL data stores, containerization, test automation, continuous integration/deployment, cloud computing, security and networking
  • Working proficiency and communication skills in verbal and written English

Remote Work

We decided to go remote-first in order to be able to hire the best talent in Europe. If you decide to join us remotely, as a member of the Founding Team we still require you to be present in Malta for the first few weeks. You further must be residing in a European timezone (between UTC-1 and UTC+3) and be able to travel to Malta at times for physical meetings and workshops.


Perks & Benefits

  • Competitive compensation in the range €50k-100k, depending on your individual skills and experience
  • Participation in our Employee Stock Option Plan
  • Financial and administrative support with relocation and visa application, if you decide to join us in Malta
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Machine Learning Infrastructure Engineer with Cortex Labs
Oakland, USA, Remote$100k - $130k
9 months ago

Job Description

Cortex is an open-source platform for building, deploying, and managing machine learning applications in production. We believe that machine learning should be a core competency of every engineering organization. Our goal is to help engineering teams build better machine learning systems, faster.

We are a VC-backed startup founded by infrastructure engineers with backgrounds from Google, Illumio, and the Berkeley ASPIRE Lab. We are looking for thoughtful and ambitious engineers to join our founding team.

Responsibilities:

  • Play an integral role in architecting, building, and maintaining our product.
  • Build and deploy scalable, reliable, and secure machine learning infrastructure.
  • Design and implement workflows to make machine learning engineers more productive.
  • Help us define our technical roadmap and our engineering culture.

Qualifications:

  • Experience designing and building large-scale distributed systems.
  • Experience with cloud infrastructure (AWS / GCP / Azure).
  • Experience with DevOps tools such as Docker and Kubernetes.
  • Experience with data processing tools such as Spark is a plus.
  • Experience with machine learning tools such as TensorFlow is a plus.
  • Experience building end-to-end machine learning systems is a plus.

Apply 🔗 Link