This job post is closed and the position is probably filled. Please do not apply. Work for 3 other jobs
Analytics Fire and want to re-open this job? Use the edit link in the email when you posted the job!
🤖 Closed by robot after apply link errored w/ code 404 3 years ago
**Job Description**\n\n\n\nAnalytics Fire builds custom software for the solar power industry. We’re looking for a senior embedded developer with deep experience developing, testing, and debugging embedded software in a Linux environment to help us expand our services to support manufacturers in additional new high-tech sectors.\n\nAnalytics Fire is a small, distributed team working on a range of interesting projects. For example, we recently helped build a custom IoT platform for utility grade solar power plants, sales software for residential solar systems, and a machine-learning powered autonomous cleaning robot. We’re looking for a fun, reliable, and highly collaborative, senior developer to join our team.\n\nThis is a remote position. We’re flexible about location and hours, so long as your working hours are within a European or US-overlapping time zone. We’re a really great match for a senior developer who wants to work hard on interesting projects, while simultaneously having flexibility around time and geography.\n\n\n\n**Skills & Requirements**\n\n\n\nIdeally, you should have 5+ years developing, testing, and debugging embedded software in a Linux environment. You should be comfortable autonomously driving your own high quality / high velocity contributions using a range of technologies.\n\nRequired skills:\n\n- Expert level experience developing, testing and debugging embedded software in a Linux environment\n- Development experience using Python, C, and C++\n- Basic hardware experience (cabling, basic troubleshooting)\n- Basic understanding of web technology\n- Strong verbal and written communication skills\n\nNice to have:\n\n- Expert-level network systems experience using connman, BTLE, and dbus\n- Expert-level experience with wireless protocols (eg zigbee, cellular modem, etc)\n- Intermediate or expert level security engineering experience with current knowledge of security best practices, common exploits, and threat landscape\n- Previous experience creating custom Linux-based systems using Yocto\n\nAnalytics Fire has a very polyglot technical culture. Our ideal candidate has expert-level skills in the above categories, but also have a secondary skill set in one of the following areas:\n\n- Full stack software engineering with React, Angular\n- Scientific computing with C++ and/or Python\n- Computer vision / machine learning (PhD-level)\n- DevOps automation\n\n\n\n**About Analytics Fire**\n\n\n\nAnalytics Fire was founded by a couple of engineering nerds -- one a PHd in machine learning and the other a former VP of Engineering for an analytics platform -- who both are also serial entrepreneurs backed by prominent angels and VCs including Y Combinator and 500 Startups.\n\n“Our goal founding Analytics Fire, was to create the engineering department that we always dreamed of working for. For us this meant being able to spend our time working on the hardest and most interesting technical problems that we could find, being part of a small, tightly-knit team of world-class engineers, while simultaneously having flexibility around time and geography.” \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Python, Senior, Linux, Developer, Digital Nomad, DevOps, Stats and Sales jobs that are similar:\n\n
$65,000 — $125,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for Analytics Fire and want to re-open this job? Use the edit link in the email when you posted the job!
\nAnalytics Fire builds custom software for the solar power industry. We’re looking for a senior embedded developer with deep experience developing, testing, and debugging embedded software in a Linux environment to help us expand our services to support manufacturers in additional new high-tech sectors.\n\nAnalytics Fire is a small, distributed team working on a range of interesting projects. For example, last year we helped build a custom IoT platform for utility grade solar power plants, sales software for residential solar systems, and a machine-learning powered autonomous cleaning robot. We’re looking for a fun, reliable, and highly collaborative, senior developer to join our team.\n\nThis is a remote position. We’re flexible about location and hours, so long as your working hours are within a European or US-overlapping time zone. We’re a really great match for a senior developer who wants to work hard on interesting projects, while simultaneously having flexibility around time and geography.\n\nSkills & Requirements\n\nIdeally, you should have 5+ years developing, testing, and debugging embedded software in a Linux environment. You should be comfortable autonomously driving your own high quality / high velocity contributions using a range of technologies.\n\nRequired skills:\n\n\n* Expert level experience developing, testing and debugging embedded software in a Linux environment\n\n* Development experience using Python, C, and C++\n\n* Expert-level network systems experience using connman, BTLE, and dbus\n\n* Basic hardware experience (cabling, basic troubleshooting)\n\n* 5+ years Linux administration experience; Expert-level Linux scripting skills\n\n* Basic understanding of web technology\n\n* Strong verbal and written communication skills\n\n\n\n\nNice to have:\n\n\n* Previous experience creating custom Linux-based systems using Yocto\n\n\n\n\nAnalytics Fire has a very polyglot technical culture. Our ideal candidate has expert-level skills in the above categories, but also have a secondary skill set in one of the following areas:\n\n\n* DevOps automation\n\n* Full stack software engineering (React, Angular)\n\n* Scientific computing with C++ and Python\n\n* Computer vision / machine learning (PhD-level)\n\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to C, C Plus Plus, Python, Senior, Linux, Developer, Digital Nomad, Stats and Sales jobs that are similar:\n\n
$70,000 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for Liquid Analytics and want to re-open this job? Use the edit link in the email when you posted the job!
🤖 Closed by robot after apply link errored w/ code 404 3 years ago
\nAt Liquid Analytics we use machine intelligence to enhance the user experience.\n\nAs a Sr. Java Software Developer you will be managing, extending and enhancing our premier Liquid Platform in AWS.\n\nYou are not just your average enterprise Java developer building applications on J2EE. You are building next generation cloud applications in AWS today.\n\nYour most important design driver is 'Performance'. You know how to model and build low latency asynchronous cloud applications. You know how to setup, manage a highly scalable Docker environment. You have solid Linux and networking to troubleshoot concurrency and latency issues with your asynchronous micro-services.\n\nYou have proven experience with various database models. You can structure, manage and query complex SQL databases. We use PostgresSQL RDS in AWS.\n\nYou have proven skills working with Columnar Databases like Amazon Dynamo or Cassandra.\n\nYou have worked with various JSON Document databases just as Google Firebase or MongoDB.\n\nYou know how to build and manage HTTPS REST APIs. We use the OpenAPIs.org specification, formerly know as Swagger.\n\nYou have working experience using Websockets to build highly responsive applications. One of the differentiations with the Liquid Platform is our highly scalable low latency sync engine that allows our clients to work online or offline with the lowest impact to battery life.\n\nYou have a minimum of 5 years of Java development skills, most of them building cloud applications in AWS.\n\nYou have an under-graduate degree in Computer Science. You have a solid math background are capable of adapting the right algorithm and data structure to most problems. For example you would know how to use a Linear Regression algorithm to analyze sales history information to create a highly optimized Goal Distribution process that runs in its own optimized in-memory data structure.\n\nJava is not your only language you are equally comfortable in Javascript and Python.\n\nIf you are a seasoned Java Developer building AWS cloud applications today then you already know all the required toolsets you need to succeed. You already stay up-to-date with the latest in Java and AWS. \nWe use Python for scripts. \nWe use Javascript to write most of our light-weight micro-services in Node.js containers. \nWe use the Webstorm IDE for Javascript development. \nWe use the Eclipse IDE for Java development. \nWe use GitHub for our code management. \nWe use Jenkins for automation.\n\nJoin the Liquid Analytics team and work on the next generation 'Experience Platform', Liquid Platform. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Java, Cloud, Engineer, Developer, Digital Nomad, JavaScript, Amazon, Firebase, Math, Python, Stats, Sales and Linux jobs that are similar:\n\n
$70,000 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
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