Remote Analytics + Apache + Engineer + Python + System Jobs

\nPosition: Sr. or Team Lead Machine Learning Engineer, Full Time\n\nLocation: Fully Remote anywhere in the USA or optional office location in SF\n\nAt Cisco Meraki, we know that technology can connect, empower, and drive us. Our mission is to simplify technology so our customers can focus on what's most meaningful to them: their students, patients, customers, and businesses. We’re making networking easier, faster, and smarter with technology that simply works.\n\nAs a Machine Learning engineer on the Insight team, you will collaborate with firmware and full stack engineers to design, plan, and build customer-facing analytics tools. Meraki's cloud-managed model offers a unique opportunity to draw upon data from millions of networks across our wide ranging customer base. The goal is to use the rich telemetry data available from these networks and combine it with the power of machine learning and the cloud to build an analytics engine that can provide intuitive, yet detailed insights into the performance of customer networks.\n\nWhat you can expect:\n\n\n* Build a system that ingests real-time streams of network performance data and identifies network performance degradation, optimizing for both low latency and few false positives\n\n* Design models that predict network performance for customers to help them understand their network performance issues\n\n* Work with firmware and backend engineers to design uplink selection algorithm for SD-WAN\n\n* Collaborate with full stack engineers to make intuitive data visualizations and integrate predictions seamlessly and powerfully into the user experience\n\n* Build, maintain, and monitor data pipelines and infrastructure for training and deploying models\n\n\n\n\nWhat we're ideally looking for:\n\n\n* 5+ years of relevant industry experience\n\n* Advanced training in mathematics, statistics, and modeling\n\n* Experience programming in Python AND some other programming language like scala, golang, ruby, etc.\n\n* Experience working with algorithms and building models for supervised and unsupervised learning.\n\n* Experience using data processing and ML libraries such as Pandas, Scikit-Learn, Tensorflow, Keras, etc.\n\n* Experience working with distributed computing engines like Apache Spark, etc. and real time data streaming services like Amazon Kinesis.\n\n* Experience implementing and monitoring data pipelines.\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 Machine Learning, Engineer, Executive, Amazon, Cloud, Python, Apache and Backend jobs that are similar:\n\n $75,000 — $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

\nThis position can be remote, but US based candidates only.\n\nAbout Us:\n\nDealer Inspire (DI) is a leading disruptor in the automotive industry through our innovative culture, legendary service, and kick-ass website, technology, and marketing solutions. Our mission is to future-proof local dealerships by building the essential, mobile-first platform that makes automotive retail faster, easier, and smarter for both shoppers and dealers. Headquartered in Naperville, IL, our team of nearly 600 work friends are spread across the United States and Canada, pushing the boundaries and getting **** done every day, together.\n\nDI offers an inclusive environment that celebrates collaboration and thinking differently to solve the challenges our clients face. Our shared success continues to lead to rapid growth and positive change, which opens up opportunities to advance your career to the next level by working with passionate, creative people across skill sets. If you want to be challenged, learn every day, and work as a team with some of the best in the industry, we want to meet you. Apply today!\n\nWant to learn more about who we are? Check us out here!\n\nJob Description: \nDealer Inspire is changing the way car dealerships do business through data. We are assembling a team of engineers and data scientists to help build the next generation distributed computing platform to support data driven analytics and predictive modeling.\n\nWe are looking for a Data Engineer to join the team and play a critical role in the design and implementing of sophisticated data pipelines and real time analytics streams that serve as the foundation of our data science platform. Candidates should have the following qualifications\n\nRequired Experience\n\n\n* 2-5 years experience as a data engineer in a professional setting\n\n* Knowledge of the ETL process and patterns of periodic and real time data pipelines\n\n* Experience with data types and data transfer between platforms\n\n* Proficiency with Python and related libraries to support the ETL process\n\n* Working knowledge of SQL\n\n* Experience with linux based systems console (bash, etc.)\n\n* Knowledge of cloud based AWS resources such as EC2, S3, and RDS\n\n* Able to work closely with data scientists on the demand side\n\n* Able to work closely with domain experts and data source owners on the supply side\n\n* An ability to build a data pipeline monitoring system with robust, scalable dashboards and alerts for 24/7 operations.\n\n\n\n\nPreferred Experience\n\n\n* College degree in a technical area (Computer Science, Information Technology, Mathematics or Statistics) \n\n* Experience with Apache Kafka, Spark, Ignite and/or other big data tools \n\n* Experience with Java Script, Node.js, PHP and other web technologies.\n\n* Working knowledge of Java or Scala\n\n* Familiarity with tools such as Packer, Terraform, and CloudFormation \n\n\n\n\nWhat we are looking for in a candidate:\n\n\n* Experience with data engineering, Python and SQL\n\n* Willingness to learn new technologies and a whatever-it-takes attitude towards building the best possible data science platform\n\n* A person who loves data and all things data related, AKA a self described data geek\n\n* Enthusiasm and a “get it done” attitude!\n\n\n\n\nPerks:\n\n\n* Health Insurance with BCBS, Delta Dental (Orthodontics coverage available), Eye Med Vision\n\n* 401k plan with company match\n\n* Tuition Reimbursement\n\n* 13 days paid time off, parental leave, and selected paid holidays\n\n* Life and Disability Insurance\n\n* Subsidized gym membership\n\n* Subsidized internet access for your home\n\n* Peer-to-Peer Bonus program\n\n* Work from home Fridays\n\n* Weekly in-office yoga classes\n\n* Fully stocked kitchen and refrigerator\n\n\n\n\n*Not a complete, detailed list. Benefits have terms and requirements before employees are eligible. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Engineer, Java, Cloud, PHP, Python, Marketing, Apache 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

\nAt Elastic, we have a simple goal: to pursue the world's data problems with products that delight and inspire. We help people around the world do exceptional things with their data. From stock quotes to Twitter streams, Apache logs to WordPress blogs, our products are extending what's possible with data, delivering on the promise that good things come from connecting the dots. Often, what you can do with our products is only limited by what you can dream up. We believe that diversity drives our vibe. We unite employees across 30+ countries into one unified team, while the broader community spans across over 100 countries.\n\nElastic’s Cloud product allows users to build new clusters or expand existing ones easily. This product is built on Docker-based orchestration system to easily deploy and manage multiple Elastic Clusters.\n\nWhat You Will Do:\n\n\n* Be the owner of data quality for our KPI and analytics data.  Ensure that we're getting the data we need and that it's as error-free as possible.\n\n* Troubleshoot problems with data and reports.\n\n* Work cross-functionally with product managers, analysts, and engineering teams to extract meaningful data from multiple sources\n\n* Develop test strategies, create test plans, execute test cases both manually and then create automation to reduce regressions\n\n* Be the point person for making sure that the raw data we use for our KPIs flows into our reporting systems.\n\n* Test Elasticsearch models, queries and Kibana Visualizations. Use outlier detection and statistical methods to define and monitor valid data ranges\n\n* Understand the Cloud business model and work with analysts to build presentations for executives and product owners\n\n* Generate reports and/or data dumps based on requirements provided by stakeholders.  Contribute to automation of these reports.\n\n* Grow and share your interest in technical outreach (blog posts, tech papers, conference speaking, etc.)\n\n\n\n\nWhat You Bring Along\n\n\n* You are passionate about software that delivers quality data to stakeholders\n\n* Experience testing models for SaaS KPIs such as user churn, trial conversion, etc.\n\n* Experience with scripting languages such as Python, Ruby, Bash\n\n* Experience with Jupyter and Python libraries like Pandas and Numpy is a plus\n\n* Ability to write queries for Elasticsearch and relational data stores such as Postgres DB\n\n* Experience creating test plans for complex data analysis\n\n* Basic understanding of statistics and data modeling\n\n* A self-starter who has experience working across multiple technical teams and decision, makers\n\n* You love working with a diverse, worldwide team in a distributed work environment\n\n\n\n\nAdditional Information:\n\n\n* Competitive pay and benefits\n\n* Equity\n\n* Catered lunches, snacks, and beverages in most offices\n\n* An environment in which you can balance great work with a great life\n\n* Passionate people building great products\n\n* Employees with a wide variety of interests\n\n* Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do.\n\n\n\n\nElastic is an Equal Employment employer committed to the principles of equal employment opportunity and affirmative action for all applicants and employees. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status or any other basis protected by federal, state or local law, ordinance or regulation. Elastic also makes reasonable accommodations for disabled employees consistent with applicable law.\n\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 Cloud, Engineer, Elasticsearch, Python, SaaS and Apache jobs that are similar:\n\n $75,000 — $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

\nSummary:\n\nWe are looking for a Senior DevOps (Site Reliability) Engineer to join Selerity’s team, scaling up an A.I. driven analytics and recommendation platform and integrating it into enterprise workflows.  Highly competitive compensation plus significant opportunities for professional growth and career advancement.\n\nEmployment Type: Contract or Full-time\n\nLocation is flexible: We have offices in New York City and Oak Park, Illinois (Chicago suburb) but about half of our team currently works remotely from various parts of Europe, North America, and Asia.  \n\n\nJob Description:\n\nWant to change how the world engages with chat, research, social media, news, and data?\n\nSelerity has dominated ultra-low-latency data science in finance for almost a decade.  Now our real-time content analytics and contextual recommendation platform is gaining broader traction in enterprise and media applications.  We're tackling big challenges in predictive analytics, conversational interfaces, and workflow automation and need your help!\n\nWe’re looking for an experienced DevOps (Site Reliability) Engineer to join a major initiative at a critical point in our company’s growth.  The majority of Selerity’s applications are developed in Java and C++ on Linux but knowledge of other languages (especially Python and JavaScript), platforms and levels of the stack is very helpful.\n\n\n\nMust-haves:\n\n  * Possess a rock-solid background in Computer Science (minimum BS in Comp Sci or related field) + at least 5 years (ideally 10+) of challenging work experience.\n\n  * Implementation of DevOps / SRE processes at scale including continuous integration (preferred: Jenkins), automated testing, and platform monitoring (preferred: JMX, Icinga, Grafana, Graphite).\n\n  * Demonstrated proficiency building and modifying Java and C++ applications in Linux environments (using Git, SVN). \n\n  * Significant operations expertise with the Ansible (preferred), Chef, or Puppet deployment automation system in a Cloud environment.\n\n  * Direct experience in the design, implementation, and maintenance of SaaS APIs that are minimal, efficient, scalable, and supportable throughout their lifecycle (OpenLDAP).\n\n  * Solid track record of making effective design decisions balancing near-term and long-term objectives.\n\n  * Know when to use commercial or open-source solutions, when to delegate to a teammate, and when to roll up your sleeves and code it yourself.\n\n  * Work effectively in agile teams with remote members; get stuff done with minimal guidance and zero BS, help others, and know when to ask for help.\n\n  * Clearly communicate complex technical and product issues to non-technical team members, managers, clients, etc.  \n\n\n\nNice-to-haves:\n\n  * Proficiency with Cisco, Juniper, and other major network hardware platforms, as well as ISO layer 1 and 2 protocols.\n\n  * Experience with Internet routing protocols such as BGP.\n\n  * Implementation of software defined networking or other non-traditional networking paradigms.\n\n  * Proficiency with SSL, TLS, PGP, and other standard crypto protocols and systems.\n\n  * Full-stack development and operations experience with web apps on Node.js.\n\n  * Experience with analytics visualization libraries.\n\n  * Experience with large-scale analytics and machine learning technologies including TensorFlow/Sonnet, Torch, Caffe, Spark, Hadoop, cuDNN, etc.\n\n  * Conversant with relational, column, object, and graph database fundamentals and strong practical experience in any of those paradigms.\n\n  * Deep understanding of how to build software agents and conversational workflows.\n\n  * Experience with additional modern programming languages (Python, Scala, …)\n\n\n\nOur stack:\n\n * Java, C++, Python, JavaScript/ECMAscript + Node, Angular, RequireJS, Electron, Scala, etc.\n\n * A variety of open source and in-house frameworks for natural language processing and machine learning including artificial neural networks / deep learning.\n\n * Hybrid of AWS (EC2, S3, RDS, R53) + dedicated datacenter network, server and GPU/coprocessor infrastructure.\n\n * Cassandra, Aurora plus in-house streaming analytics pipeline (similar to Apache Flink) and indexing/query engine (similar to ElasticSearch).\n\n * In-house messaging frameworks for low-latency (sub-microsecond sensitivity) multicast and global-scale TCP (similarities to protobufs/FixFast/zeromq/itch).\n\n * Ansible, Git, Subversion, PagerDuty, Icinga, Grafana, Observium, LDAP, Jenkins, Maven, Purify, VisualVM, Wireshark, Eclipse, Intellij.\n\nThis position offers a great opportunity to work with advanced technologies, collaborate with a top-notch, global team, and disrupt a highly visible, multi-billion-dollar market.  \n\n\n\nCompensation:\n\nWe understand how to attract and retain the best talent and offer a competitive mix of salary, benefits and equity.  We also understand how important it is for you to feel challenged, to have opportunities to learn new things, to have the flexibility to balance your work and personal life, and to know that your work has impact in the real world.\n\nWe have team members on four continents and we're adept at making remote workers feel like part of the team.  If you join our NYC main office be sure to bring your Nerf toys, your drones and your maker gear - we’re into that stuff, too.\n\n\nInterview Process:\n\nIf you can see yourself at Selerity, send your resume and/or online profile (e.g. LinkedIn) to [email protected].  We’ll arrange a short introductory phone call and if it sounds like there’s a match we'll arrange for you to meet the team for a full interview.  \n\nThe interview process lasts several hours and is sometimes split across two days on site, or about two weeks with remote interviews.  It is intended to be challenging - but the developers you meet and the topics you’ll be asked to explain (and code!) should give you a clear sense of what it would be like to work at Selerity.  \n\nWe value different perspectives and have built a team that reflects that diversity while maintaining the highest standards of excellence.  You can rest assured that we welcome talented engineers regardless of their age, gender, sexual orientation, religion, ethnicity or national origin.\n\n\n\nRecruiters: Please note that we are not currently accepting referrals from recruiters for this position. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to DevOps, Senior, Crypto, Finance, Java, Cloud, Python, SaaS, Engineer, Apache 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

\nJob Title: Data Engineer\n\nLocation: Europe\n\nAbout the company\n\nFounded in 2010, Lynx Analytics is a predictive analytics company run by world-class quantitative marketing scientists and industry experienced data scientists. Our focus is on solving big challenges primarily through the deployment of our proprietary big graph analytics platform, which is based on a powerful Hadoop and Apache Spark back-end.\n\n\nOur head office is in Singapore and we have operations in Hong Kong, USA, Hungary, Indonesia and presence in a few other southeast Asian countries. Our teams' qualifications are global, including Professors, PhDs, MScs, and MBAs from Ivy League, INSEAD and NUS, as well as experience at blue-chip tech and analytics companies, and other start-ups. It is the combination of our insightful frameworks, product development capabilities, and these qualifications, which are the true value of Lynx's proposition.\n\n\nLynx Analytics technology is already deployed across the region for various clients, and there is significant growth potential for the company as well as numerous career opportunities as we scale up our operations.\n\n\nJob description\n\nLynx Analytics is looking for a Software Engineer to work on automating and productizing advanced big data transformation and analytics pipelines. You would be working with standard big data technologies (Hadoop, Spark, etc) as well as our proprietary big graph analysis framework. The ideal candidate would be someone with onsite B2B experience while dealing with enterprise technology deployment. He/she should be able to liaise with internal technology teams and work in a multi-stakeholder environment.\n\nRequirements\n\n\n* Strong programming skills\n\n* Solid knowledge of Python and Java\n\n* Good understanding of the Linux operating system including basic sysadmin and shell scripting abilities\n\n* SQL\n\n* Experience in project delivery in a B2B setting\n\n* Good problem solving skills\n\n* Fluency in English\n\n* Willingness to travel\n\n\n\n\n\n\nDesirable:\n\n\n* Experience in Big Data\n\n* Experience in data science or analytics\n\n* Industry experience in working for a big enterprise (like our clients)\n\n\n\n\nWhat we offer:\n\n\n* Opportunity to work on creating innovative, bleeding edge data science pipelines using our state of the art, in-house built big graph tool\n\n* Work closely with the developers of the (big graph) tool you will be building upon\n\n* Be a member of a very strong team with mathematicians, ex-Googlers, Ivy League professors, INSEAD alumni business people and telco industry experts\n\n* Startup atmosphere\n\n* Competitive salary\n\n* Stock options for employees\n\n* Opportunity to travel (South East Asia, US, Europe, ...)\n\n* Flexible working hours, family-friendly workplace\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 Engineer, Python, Travel, Marketing, Stats, Apache and Linux jobs that are similar:\n\n $80,000 — $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

Stacktical is a Predictive Scalability Testing platform.\nIt ensures our customers design and ship softwares that always scale to the maximum of their ability and with minimum footprint.\nThe Stacktical Site Reliability Engineer is responsible for helping our customers engineer CI/CD pipeline around system testing practices that involve Stacktical.\nLike the rest of the team, they also actively participate in building the Stacktical platform itself.\nWe are looking for a skilled DevOps and Site Reliability Engineer, expert in Scalability, that is excited about the vision of using Predictive Analytics and AI to reinvent the field.\nWith a long-standing passion for automating your work and the work of others, you also understand how Software as a Service is increasingly empowering companies to do just that.\nYou can justify previous experiences in startups and you’re capable of working remotely, with great efficiency, in fast-paced, demanding environments. Ideally, you’d have a proven track record of working remotely for 2+ years.\nNeedless to say, you fully embrace the working philosophy of digital nomadism we’re developing at Stacktical and both the benefits and responsibilities that come with it.\nYour role and responsibilities includes the following :\n- Architecture, implementation and maintenance of server clusters, API and microservices, including critical production environments, in Cloud and other hosting configurations (dedicated, vps and shared).\n- Ensure the availability, performance and scalability of applications in respect of proven design and architecture best practices.\n- Design and execute Scalability strategies that ensure the scalability and the elasticity of the infrastructure.\n- Manage a portfolio of Softwares, their Development Life Cycle and optimize their Continuous Integration and Delivery workflows (CI/CD).\n- Automate the Quality & Reliability Testing of applications (Unit Tests, Integration Tests, E2E Tests, Performance and Scalability Tests).\n## Skills we are looking for\n- A 50-50 mix between Software Development and System Administration experience\n- Proficiency in Node.js, Python, R, Erlang (Elixir) and / or Go\n- Hands on experience in NoSQL / SQL database optimization (slow queries indexing, sharding, clustering)\n- Hands on experience in administering high availability and high performance environments, as well as managing large-scale deployments of traffic-heavy applications.\n- Extensive knowledge of Cloud Computing concepts, technologies and providers (Amazon AWS, Google Cloud Platform, Microsoft Azure…).\n- A strong ability to design and execute cutting edge System Testing strategies (smoke tests, performance/load tests, regression tests, capacity tests).\n- Excellent understanding of Scalability processes and techniques.\n- Good grasp of Scalability, Elasticity concepts and creative Auto Scaling strategies (Auto Scaling Groups management, API-based scheduling).\n- Hands on experience with Docker and Docker orchestration tools like Kubernetes and their corresponding provider management services (Amazon ECS, Google Container Engine, Azure Container Service...).\n- Hands on experience with leading Infrastructure as Code SCM tools like Terraform and Ansible\n- Proven ability to work remotely with teams of various sizes in same/different timezones, from anywhere and still remain highly motivated, productive, and organized.\n- Excellent English communication skills, including verbal, written, and presentation. Great email and Instant Messaging (Slack) proficiency.\nWe’re looking for a self learner always willing to step out her/his comfort zone to become better. An upright individual, ready to write the first and many chapters of the Stacktical story with us.\n## Life at our virtual office\nOur headquarters are in Paris but our offices and our clients are everywhere in the World.\nWe’re a fully distributed company with a 100% remote workforce. So pretty much everything happens on Slack and various other collaborative tools.\n## Remote work at Stacktical\nRemote work at Stacktical requires you to forge a contract with the Stacktical company, using your own billing structure.\nThat means you would either need to own a company or leverage a compatible legal status.\nLabour laws can be largely different from a country to another and we are not (yet) in a position to comply with the local requirements of all our employees.\nJust because you will be a contractor doesn’t make you less of a fully-fledged employee of Stacktical. In fact, even our founders are contractors too.\n## Compensation Package\n#### Fixed-price contract\nYour contract fixed-price is engineered around your expectations, our possibilities and the overall implications of remote work.\nLet’s have a transparent chat about it.\n#### Stock Options\nYes, joining Stacktical means you are entrusted to own part of the company. \n\nPlease mention the words **VEHICLE ORBIT AUNT** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMQ==). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to DevOps, JavaScript, Cloud, Erlang, Python, Node, API, Admin, Engineer, Apache, Nginx, Sys Admin, Docker, English, NoSQL, Microsoft and Legal jobs that are similar:\n\n $70,000 — $120,000/year\n