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Golang The Wild Jobs in United States Paying 100,000 USD a Year


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Browse 250+ Golang The Wild Jobs (1 new this month) ๐Ÿ‡บ๐Ÿ‡ธ in November 2024 at companies like Ardan Labs, Katana Labs and Cortex Labs paying at least 100,000 USD per year working as a Mid/Senior Golang Backend Engineer, FullStack Engineer and Machine Learning Infrastructure Engineer. Last post

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No The Wild Jobs in United States paying at least 100,000 USD per year

Showing 3 of 263 Remote๐ŸŒŽ The Wild Jobs paying at least 100,000 USD per year available instead
Ardan Labs Logo
Mid/Senior Golang Backend Engineer
Ardan Labs
100% Remote
$80,000 to $150,000 a year
February 2021
4 Applicants This Week
More Than 6 Months Old

Job Description

Ardan Labs is a consulting firm that helps our clients develop software solutions and applications. We work on software projects and teams of different sizes. We are currently looking for Mid-level and Senior Backend Engineers with at least 1 year of Go experience.

Requirements

  • Can demonstrate a good working knowledge of Go, standard library, idioms and common guidelines.

  • Can demonstrate the ability to collaborate with team members, flushing out designs to finalizing solutions.

  • Capable of understanding business requirements and translating that into engineering decisions.

  • Capable of determining and communicating engineering trade-offs.

  • Capable of writing documentation and tests.

  • IMPORTANT. To apply to this position you must be able to work US timezones and have good communication skills. Only individual contributors/direct hire will be considered for this project

Benefits

  • As a W2 employee, we offer family medical coverage, life insurance, paid vacation, and technical training.

Salary is based on experience level and requirements


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Katana Labs Logo
FullStack Engineer
Katana Labs
Remote
ยฃ70,000 to ยฃ90,000 a year
April 2020
1 Applicants This Week
More Than 6 Months Old

Job Description

Katana Labs is looking for experienced full stack engineers. We are a well funded FinTech startup based in London, working on an AI powered trading platform. Your main focus will be developing Go applications but weโ€™re looking for a strong all rounder with experience in containers, kubernetes and cloud as well as the occasional frontend task. A DevOps mindset and focus on QA is a must.

Requirements - 5+ years of full stack experience - 2+ years of production grade Go experience - 1+ years of kubernetes experience - 1+ years of cloud experience

Tech Stack - Go - React - Kubernetes - PostgreSQL - Google Cloud Platform

Location: Remote (preferably UTC+3, UTC-3)


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Machine Learning Infrastructure Engineer
Cortex Labs
Oakland, United States, Remote
$100,000 to $130,000 a year
April 2019
1 Applicants This Week
More Than 6 Months Old
This job posting is no longer available

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.

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