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Browse 3 Remote in July 2020 at companies like Platform.sh, Doximity and while working as a Machine Learning Engineer, Machine Learning Engineer or Customer Success Engineer. Last post

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Browse 3 Remote in July 2020 at companies like Platform.sh, Doximity and while working as a Machine Learning Engineer, Machine Learning Engineer or Customer Success Engineer. Last post

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Platform.sh


Customer Success Engineer

Customer Success Engineer


Platform.sh


customer success

git

php

python

customer success

git

php

python


👁 1,995 viewed | ✍️ 77 applied (4%)
As a  **Customer Success Engineer** you will be responsible to assess the nature of product or service issues and resolve support problems for customers and partners through support tickets, live chat, and occasional voice calls. Successful employees are willing to collaborate with other team members, able to meet deadlines, and excited to test new ideas, tools, and tactics. We are looking for motivators, go-getters, and ways to improve our processes, our products, and ourselves. As one of our Customer Success Engineers, you are our front line; when our customers think of how great Platform.sh is, they think of you.\n\n# Responsibilities\n **In a given day you might:**\n\n* Troubleshoot issues pertaining to the underlying infrastructure running customer applications.\n* Diagnose, debug, and document issues in both applications and systems.\n* Deploy and configure cloud infrastructure resources.\n* Troubleshoot, reproduce, and report bugs.\n* Become a product expert and work toward improving our customer facing documentation.\n* Participate in limited on-call shifts, providing timely responses to high priority tickets and incidents.\n* Work under limited supervision with considerable latitude for personal initiative.\n* Respond to customer inquiries through our ticketing solution, ZenDesk.\n* Participate in training teammates. \n\n# Requirements\n**Minimum Qualifications**\n\n* 3+ years combined of:\n* Web development using PHP, Python, Ruby, or Go.\n* Linux system administration.\n* Experience using git for version control.\n* Understanding of DNS as well as TLS and encryption.\n* Exceptional communication skills to provide clear and empathetic customer support.\n* This role is also open to those willing to work Saturdays and Sundays instead of the usual Mondays to Fridays. \n\n**Preferred Qualifications**\n\n* Experience with Magento, Symfony, TYPO3, and/or Drupal.\n* Understanding of CDNs or Varnish and web caching strategies.\n* Familiarity with IaaS solutions, such as AWS, Microsoft Azure, and Google Compute Engine.\n* Conversant in containerization technologies and techniques.\n* Knowledge of nginx, Galera, GlusterFS, and Puppet.\n* Sound Like a Good Fit? We’d love to talk to you! yagJzhkdapAsCMnUw7CpJAMi

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👁 2,136 viewed | ✍️ 4 applied (0%)
Doximity is transforming the healthcare industry. Our mission is to help doctors save time so they can provide better care for patients.\n\nWe value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds to help build the future of healthcare.\n\nHow you’ll make an impact:\n\n-Employ appropriate methods to develop performant machine learning models at scale, owning them from inception to business impact.\n-Plan, engineer, and deploy both batch-processed and real-time data science solutions to increase user engagement with Doximity’s products.\n-Collaborate cross-functionally with data engineers and software engineers to architect and implement infrastructure in support of Doximity’s data science platform.\n-Improve the accuracy, runtime, scalability and reliability of machine intelligence systems\n-Think creatively and outside of the box. The ability to formulate, implement, and test your ideas quickly is crucial.\n\nWhat we’re looking for:\n\n-3+ years of industry experience; M.S. in Computer Science or other relevant technical field preferred.\n-3+ years experience collaborating with data science and data engineering teams to build and productionize machine learning pipelines.\n-Fluent in SQL and Python; experience using Spark (pyspark) and working with both relational and non-relational databases.\n-Demonstrated industry success in building and deploying machine learning pipelines, as well as feature engineering from semi-structured data.\n-Solid understanding of the foundational concepts of machine learning and artificial intelligence.\n-A desire to grow as an engineer through collaboration with a diverse team, code reviews, and learning new languages/technologies.\n-2+ years of experience using version control, especially Git.\n-Familiarity with Linux, AWS, Redshift.\n-Deep learning experience preferred.\n-Work experience with REST APIs, deploying microservices, and Docker is a plus.\n\nAbout Doximity\n\nWe’re thrilled to be named the Fastest Growing Company in the Bay Area, and one of Fast Company’s Most Innovative Companies. Joining Doximity means being part of an incredibly talented and humble team. We work on amazing products that over 70% of US doctors (and over one million healthcare professionals) use to make their busy lives a little easier. We’re driven by the goal of improving inefficiencies in our $2.5 trillion U.S. healthcare system and love creating technology that has a real, meaningful impact on people’s lives. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us!\n\nDoximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.yagJzhkdapAsCMnUw7CpJAMi

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When applying for jobs, you should NEVER have to pay to apply. That is a scam! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. Scams in remote work are rampant, be careful! When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.

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