Remote Amazon + Analytics + Cloud + Engineer + Python Jobs

Location: Full-Remote in Europe\n\nPosition: fulltime employment\n\n**ABOUT CRATE.IO**\n\nCrate.io is the developer of CrateDB, a global leading-edge IoT database, extending the limits of time-series applications. The highly scalable distributed database solution combines the performance of NoSQL with the power and simplicity of standard SQL. Designed specifically to support machine data applications and IIoT, CrateDB is optimized for time series and industrial data and runs in the cloud on Azure and Amazon as well as on the edge and on-premise.\n\nWe are a VC and corporate funded global technology company in the IOT space, both Forbes and Gartner have recognized us as cutting edge. The company is well funded with $10M+ of fresh capital we raised in our latest financing round this year. We are gearing up for hyper-growth with offices in the USA, Germany, Austria and Switzerland.\nCrateDB is an Industrial IOT database technology for enterprise manufacturing and industrial organisations needing to scale the use of machine data to enable advanced real-time analytics and insights. The market's most advanced distributed SQL database, CrateDB’s technical architecture unlocks unlimited scale and speed, at a cost previously unachievable.\n\nCrate Solutions is developing customer facing IoT components on top of CrateDB. We help customers to get their industrial IoT data processed with ease, on edge and in the cloud by leveraging CrateDB amongst other technologies like Kafka, Kubernetes, Azure or AWS cloud components.\n\n**WHAT YOU GET OUT OF THIS OPPORTUNITY**\n* The ability to develop a high performing Product function and be instrumental in the future roadmap and direction of \n* CrateDB and its Ecosystem\n* Join a leading VC funded tech company from the pre-B stage through the exit\n* Contribute demonstrable business impact to Crate’s growth\n* Close interaction with Crate’s key customers, partners, and database users\n* Be part of an open, collaborative culture with “Craties” from diverse backgrounds\nRequirements\n\n**WHAT YOU’RE RESPONSIBLE FOR**\n* Work with an agile, cross functional team\n* Maintain, improve and extend the code base of our backend applications that power our IoT solutions\n* Design and implement state of the art database-backed applications\n* Ensure quality through test driven development\n* Think about performance and security as keys to build sustainable products\n* Do research and derive customer implementation\n\n**YOUR SKILLS**\n* Proven experience as a backend engineer or similar role (5 years+)\n* Strong language skills in Python\n* Strong know-how in SQL\n* Comprehensive understanding of service architecture and distributed systems\n* Ability to find problem specific solutions\n* High affinity to transform customer needs into software\n* Craftsmanship to continuously improve and take over responsibility for existing code bases\n* Fluent English\n\n**NICE TO HAVE**\n* Knowledge of containers and orchestration tools\n* Experience with event driven architectures\n* Experience in a big data environment\n* Knowledge with Cloud hosting providers, such as Azure\n* Experience with CI/CD\n* Work experience with agile methodologies, such as Scrum\n* Experience with CrateDB\n\n**WHAT WE OFFER**\n* Competitive compensation\n* Flexible working hours\n* A variety of perks (e.g., financial allowances for public transportation, fitness, and education)\n* Participation in our Employee Stock Options Plan\n* The opportunity to become part of one of the most exciting startups in the IT scene\n(Winner of the 2021 [IoT Evolution](https://crate.io/press/crate-io-receives-2021-iot-evolution-industrial-iot-product-of-the-year-award/): Industrial IoT Product of the Year Award )\n\nAt Crate.io, we don't just accept difference - we celebrate it and support it. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity \n\nPlease mention the words **GLOBE RENT ROAD** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xODA=). 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 $80,000 — $110,000/year\n \n\n#Location\nEurope

\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

\nVisual Lease is looking for a talented, hands-on, Senior Database Engineer to join our engineering organization. In this role, you’ll work with our cross-functional Engineering team, and our industry experts to design and build powerful, yet easy to use web-based SaaS applications. You will follow and promote the latest technology patterns and best practices. You’ll also directly support our move to a microservices architecture. This change, along with our move to Amazon Web Services (AWS), will involve a schema redesign and a move from MS SQL Server to Aurora PostgreSQL.  \n\n\nThe Senior DB Engineer candidate is a well-studied, influential technologist. He/she has C# and/or Python development skills with STRONG backend experience. The ideal candidate will have the proven ability to learn complex application business logic and design needed database structures. This exciting role is positioned to make an enormous impact on our technology roadmap, and have a strong voice and influence within the engineering team.\n\n\n\n\nWhat You Will Do\n\n\n\n\n\n* Acts as our database subject matter expert and develops the vision for our database architecture\n\n* Responsible for the performance, scalability and security of database architecture\n\n* Documents our current and future relational database structure, making changes needed to best support a microservices architecture and leveraging AWS services\n\n* Develops migration tools and oversees the migration of data from MS SQL Server to Aurora PostgreSQL\n\n* Provides key input on schema design for future reporting considerations\n\n* Provides hands-on support to both: development teams with database needs for new features, and operations teams with database scripts and utilities\n\n* Mentors engineering team members around modern database architecture principles, and lead by example with developing optimal relational database structures and queries\n\n* Works with the Operations team to monitor, analyze and tune application performance\n\n* Lends support for database-related incident tickets for investigation and resolution\n\n* May develop microservices in C# or Python to interface with database ORM\n\n* Follows software engineering standards and best practices. Perform code reviews\n\n\n\n\n\n\n\nSkills & Competencies\n\n\n\n\n\n* 6+ years’ experience with database design, development and maintenance in a Cloud SaaS environment\n\n* 2+ years’ experience with Postgres (Aurora Postgres preferred) in production\n\n* Experience with large-scale data migration projects\n\n* Experience with designing high performing reporting schemas\n\n* Experience with database design in a microservices architecture (without functions and stored procedures)\n\n* Experience implementing data solutions with AWS is highly desired\n\n* Knowledge of multiple embedded or cloud-based analytics tools is highly desired, such as: MicroStrategy or TIBCO Jaspersoft\n\n* Experience with data warehousing, data modeling, and multidimensional data models is helpful\n\n* A solid foundation in data structures, algorithms, and OO Design with fundamentally strong programming skills in Python, C#/.net\n\n* Bachelor’s or advanced degree in Computer Science or related field with 6+ years of engineering experience\n\n* Self-starter with excellent communication skills, influencing, and follow-through skills\n\n* Intellectual curiosity and an ability to collaborative support multiple Scrum teams in a fast-paced, iterative product development environment\n\n* Please note that visa sponsorship is not available for this position.\n\n\n\n\n\n\n\n\nWhy Work at Visual Lease?\n\n\n\n\nWe have a passion for simplifying the complex. Our lease accounting and lease administration software helps companies manage, analyze and report on their leased asset portfolios. Loved by more than 700 major companies worldwide, our cloud-based SaaS platform embeds decades of lease management and financial accounting expertise. \n\n\nOver the last two years, our employee base has seen significant growth. Voted one of NJ’s Best Places to Work, we are looking for driven, innovative and passionate team-players to help us continue this journey and bring us to the next level.\n\n\nVisual Lease is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. Visual Lease is a background screening, drug-free workplace. Full-time positions offer a competitive benefits package and salary commensurate with experience.\n\n\nwww.visuallease.com \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Senior, Engineer, Accounting, Amazon, Cloud, Python, SaaS and Backend 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

\nSenior Data Engineer\n\nThis is a remote position but within +/- 2 hours of Eastern Standard Timezones. \n\n\nApplicants must have strong written and oral communication in English. \n\n\n—\n\n\nFounded by freelance engineers, Blue Orange Digital wanted to bring an engineering-first approach to the development agency model. We work on projects that use the latest and greatest technologies. We care about the products we build and only work with clients who understand that good applications come from happy engineers and team members. We’re headquartered in NYC and DC with additional remote engineers across the US and Latin America. \n\n\nBlue Orange Digital is looking for a Data Engineer to join our talented multi-disciplinary team. We build data analytics platforms for our clients that incorporate machine learning to solve business problems. Blue Orange Digital works across multiple industries, this role provides an exciting set of experiences across a wide range of domains.\n\n\nYour primary focus will be the design and development of ETL pipelines for an Enterprise Data Warehouse. Blue Orange engineers take end-to-end ownership of their code and platforms, so the ideal candidate for this position has a mixture of experience in Cloud Engineering and Data Engineering. At Blue Orange we never stop learning and growing, new team members should be passionate about data technology and life-long learners. \n\n\nCore Responsibilities & Skills\n\n\n* Design, develop, test and maintain maintainable, scalable ETL pipelines in AWS with Matillion & Redshift. \n\n* Work closely with business and technical stakeholders to refine pipeline requirements\n\n* Help establish and follow best practices for the design and development of data integration, data transformation and data quality tasks.\n\n* Perform root cause analysis and resolution for data issues.\n\n* Work closely in a team setting to deliver a high level of quality and value to the client. \n\n\n\n\nQualifications\n\n\n* BA/BS degree in Computer Science or a related technical field, or equivalent practical experience.\n\n* Minimum of 5 years experience building ETL pipelines and working with different Cloud Data Warehouses (Redshift, Snowflake, Azure SQL Data Warehouse)\n\n* Must have Matillion experience, 2+ years experience preferred. Experience with IBM DataStage is a plus.\n\n* Advanced experience in Python and SQL  with an excellent understanding of computer science fundamentals, complex data structure, data processing, data quality, data lifecycle, and algorithms.\n\n* Experience in Amazon AWS, DevOps, and Automation (Cloud Formation)\n\n* AWS certification, or progress toward, at the associate level (Solutions Architect or Developer), or specialty (Big Data) a strong advantage.\n\n* Enjoys collaborating with other engineers on architecture and sharing designs with the team \n\n* Excellent verbal and written English communication.\n\n* Interacts with others using sound judgment, good humor, and consistent fairness in a fast-paced environment\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 Senior, Engineer, English, Amazon, Cloud and Python 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

\nHello! Are you ready to Work from Home and transform your career?\n\nWe're looking for an experienced and enthusiastic Cloud Data Engineer to join the engineering team at Modus. Want to help our client’s build awesome solutions to accomplish their goals and vision? Are you interested in working from home with some of the best talent on the planet? Then keep reading.\n\nAbout You\n\nYou love optimization and automation across multiple platforms and applications. Driving consistency for deployment and build processes is second nature for you. If you walk the line between software development and IT operations, we want to speak to you! We use modern tools, which means you’ll have the opportunity to work with software like Jenkins, Docker, Kubernetes, Amazon Web Services, Ansible, Terraform and much more. \n\nYou have 3+ years of experience and demonstrated proficiency in database development supporting complex information technology systems. You are familiar and comfortable working with enterprise applications, in an agile environment. You are an expert at implementing cloud migrations to AWS and have working knowledge of cloud platforms and tools, including AWS serverless technologies.\n\nYou should have a strong understanding of AWS Products, including: Lake Formation, Glue & Glue Data Catalog, S3, Cloud Development Kit and AWS Kinesis. In addition to AWS technologies, you should understand batch and stream processing architectures as they feed a data lake. Exposure to different file formats used in data lakes would be beneficial.\n\nLinux is required, one of the following: Ubuntu 14.04 LTS or higher, Red Hat Enterprise Linux / CentOS 6 or higher, Fedora 25 or higher, Debian 8.0 or higher.\n\nExperience in bash, Java, JavaScript or Python would be nice to have. Additional supporting skills include databases and SaaS providers, including: Mongo DB, Elastic Search, Postgres, Oracle, MySQL, Heap & Google Analytics and Salesforce.\n\nYou love learning. Engineering is an ever-evolving world. You enjoy playing with new tech and exploring areas that you might not have experience with yet. You are self-driven, self-learner willing to share knowledge and participate actively in your community.\n\nHaving overlap with your team is critical when working in a global remote team. Modus requires all team members to overlap with EST morning hours daily. In addition, reliable high speed internet is a must and a personal development environment running Mac OSX, Windows 10Pro, or Linux.\n\nAdditionally, as part of this role you will be expected to adhere to our customers information security requirements. This includes but is not limited to installing BitDefender endpoint security, provided by Modus Create, on the machine you will be connecting to the client’s network and systems with. BitDefender provides the following features: AntiVirus/AntiMalware, Intrusion detection systems, Blocking of phishing/compromised websites, full disk encryption (using native tools to the operating system), disable external storage, automatic patch deployment and Windows risk management.\n\nThings You Might Do\n\nModus is a fast-growing, and remote-first company, so you'll likely get experience on many different projects across the organization. That said, here are some things you'll probably do:\n\n\n* Give back to the community via open source and blog posts\n\n* Travel and meet great people- as part of our remote-first lifestyle, it's important that we come together as needed to work together, meet each other in person and have fun together. Please keep that in mind when you apply.\n\n* Teach and be taught: Modus creates active teams that work in internal and external projects together, giving opportunities to stay relevant with the latest technologies and learning from experts worldwide\n\n* Interact directly with internal and external clients to represent Modus and its value\n\n\n\n\nWhy Modus Create:\n\nOur Benefits may vary according to the Country you are located in, so please reach out to our recruiter in case you have any questions.\n\nIf you become a contractor we offer:\n\n\n* Competitive compensation\n\n* 100% Remote work (could vary according to the client's needs)\n\n* Travel according to client's needs\n\n* The chance to work side-by-side with thought leaders in emerging tech\n\n\n\n\nDo you have what it takes? Apply today!\n\nAbout Modus Create\n\nModus Create is a digital product agency that accelerates digital transformation. We use high performing small teams, emerging technology, and “new school” product development tools and methods to accelerate business outcomes. We support our clients across four core delivery areas: business and product strategy consulting, customer experience, cloud services, and Agile software delivery. \n\nDriven by a team of world-class talent, we have been recognized by the Inc. 5000 list of fastest growing private companies 5 years in a row, the Washington Business Journal list of Fastest Growing Companies in the Washington, DC area two years in a row, and a top company for remote work by FlexJobs. We’re also an official partner to Atlassian, AWS, Cloudflare, GitHub, InVision, Ionic Framework, and Vue.js!\n\nBased on the model of an open source team, Modites work remotely, and are located across the globe. That’s allowed us to hire the best talent in the world, no matter where they live. Our highly collaborative, autonomous, and effective working environment is fueled by a team unified by a love of continuous learning. Our years of thought leadership including books, whitepapers, blog posts, conference and MeetUp talks, demonstrate our commitment to sharing what we’ve learned. \n\nWe encourage every Modus employee to do the same. Our company is a platform for the growth of our employees. Through working with our distributed team of experts on challenging projects, every person that joins the Modus team can expect to continue growing and learning every day. This is your chance to be part of building something great. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Cloud, Engineer, JavaScript, Amazon, Serverless, Python, SaaS 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

\nThis role is contract to hire. \n\nBlue Orange Digital is looking for a Machine Learning Engineer to join our awesome multi-disciplinary team. We build data analytics platforms for our clients that incorporate machine learning to solve business problems. Blue Orange Digital works across multiple industries, this role provides an exciting set of experiences across a wide range of domains.\n\nYour primary focus will be the architecting and developing systems that include data ingestion, data processing, algorithm development, and ML model development & deployment. Major technologies involved include AWS, Python 3, Spark, Pandas, Tensorflow. The ideal candidate for this position has a mixture of experience in Machine Learning model development, Cloud Engineering, and Data Engineering.\n\nCore Responsibilities & Skills\n\n\n* Architecting, building and maintaining modern, scalable data architectures on AWS\n\n* Solving problems using Machine Learning and delivering ML solutions all the way to production\n\n* Building resilient ETL pipelines using workflow orchestration tools such as Airflow, Prefect, Luigi\n\n* Data exploration, analysis, and reporting with an eye towards developing a narrative using Notebooks.\n\n* Demonstrable experience in one or more of the following specializations: NLP, pattern detection, anomaly detection, predictive modeling, and optimization\n\n\n\n\nQualifications\n\n\n* BA/BS degree in Computer Science or a related technical field, or equivalent practical experience.\n\n* Advanced experience in Python with an excellent understanding of computer science fundamentals, data structures, and algorithms\n\n* Experience in Amazon AWS, DevOps and Automation\n\n* Experience with distributed machine learning using tools like Dask, Tensorflow, Kubeflow\n\n* Enjoys collaborating with other engineers on architecture and sharing designs with the team \n\n* Interacts with others using sound judgment, good humor, and consistent fairness in a fast-paced environment\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 Data Science, DevOps, Amazon, Cloud, Python and Engineer 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

\nBlue Orange Digital is looking for a Data Engineer to join our talented multi-disciplinary team. We build data analytics platforms for our clients that incorporate machine learning to solve business problems. Blue Orange Digital works across multiple industries, this role provides an exciting set of experiences across a wide range of domains.\n\nYour primary focus will be the architecting and developing systems that include data ingestion, data processing, algorithm development. Major technologies involved include AWS (Lambda, Glue, CloudFormation, EMR), Python 3, Spark, Pandas. Blue Orange engineers take end-to-end ownership of their code and platforms, so the ideal candidate for this position has a mixture of experience in Cloud Engineering and Data Engineering.\n\nCore Responsibilities & Skills\n\n\n* Architecting, building and maintaining modern, scalable data architectures on AWS\n\n* Building resilient production ETL pipelines using workflow orchestration tools such as Airflow, Prefect, AWS Step Functions\n\n* Deploying and managing infrastructure with automation to support data pipelines. \n\n* Deploying and scaling machine learning models in production. \n\n* Data exploration, analysis, and reporting with an eye towards developing a narrative using Notebooks.\n\n\n\n\nQualifications\n\n\n* BA/BS degree in Computer Science or a related technical field, or equivalent practical experience.\n\n* Advanced experience in Python with an excellent understanding of computer science fundamentals, complex data structure, data processing, data quality, data lifecycle, and algorithms.\n\n* Experience in Amazon AWS, DevOps and Automation (CloudFormation)\n\n* AWS certification, or progress toward, at the associate level (Solutions Architect or Developer), or specialty (Big Data) a strong advantage.\n\n* Enjoys collaborating with other engineers on architecture and sharing designs with the team \n\n* Excellent verbal and written English communication.\n\n* Interacts with others using sound judgment, good humor, and consistent fairness in a fast-paced environment\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, DevOps, English, Amazon, Cloud and Python 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

\nHello! Are you ready to Work from Home and transform your career?\n\nWe're looking for an experienced and enthusiastic Senior DevOps Engineer to join the engineering team at Modus. Want to help our client’s build awesome solutions to accomplish their goals and vision? Are you interested in working from home with some of the best talent on the planet? Then keep reading.\n\nAbout You\n\nYou love optimization and automation across multiple platforms and applications. Driving consistency for deployment and build processes is second nature for you. If you walk the line between software development and IT operations, we want to speak to you! We use modern tools, which means you’ll have the opportunity to work with software like Jenkins, Docker, Kubernetes, Amazon Web Services, Ansible, Terraform and much more. \n\nYou have the ability to develop Infrastructure as Code (laC) with tools like Terraform or CloudFormation. You are familiar and comfortable working with enterprise applications, in an agile environment. You are an expert at implementing cloud migrations to AWS and have working knowledge of cloud platforms and tools, including AWS serverless technologies.\n\nYou should have experience building CI systems. You are familiar with Ruby QA frameworks such as Rspec and Capybara. You have working experience with Site Reliability Engineering.\n\nExperience in Bash, Java, JavaScript or Python would be nice to have. Additional supporting skills include databases and SaaS providers, including: Mongo DB/Atlas/DocumentDB, DynamoDB, Elastic Search, Postgres, Oracle, MySQL, Heap & Google Analytics and Salesforce.\n\nYou love learning. Engineering is an ever-evolving world. You enjoy playing with new tech and exploring areas that you might not have experience with yet. You are self-driven, self-learner willing to share knowledge and participate actively in your community.\n\nHaving overlap with your team is critical when working in a global remote team. Modus requires all team members to overlap with EST morning hours daily. In addition, reliable high-speed internet is a must.\n\nThings You Might Do\n\nModus is a fast-growing, and remote-first company, so you'll likely get experience on many different projects across the organization. That said, here are some things you'll probably do:\n\n\n* Give back to the community via open source and blog posts\n\n* Teach and be taught: Modus creates active teams that work in internal and external projects together, giving opportunities to stay relevant with the latest technologies and learning from experts worldwide\n\n* Interact directly with internal and external clients to represent Modus and its value\n\n\n\n\nWhy Modus Create:\n\nOur Benefits may vary according to the Country you are located in, so please reach out to our recruiter in case you have any questions.\n\nIf you become a contractor we offer:\n\n\n* Competitive compensation\n\n* 100% Remote work (could vary according to the client's needs)\n\n* Travel according to client's needs\n\n* The chance to work side-by-side with thought leaders in emerging tech\n\n\n\n\nDo you have what it takes? Apply today!\n\nAbout Modus Create\n\nModus Create is a digital product agency that accelerates digital transformation. We use high performing small teams, emerging technology, and “new school” product development tools and methods to accelerate business outcomes. We support our clients across four core delivery areas: business and product strategy consulting, customer experience, cloud services, and Agile software delivery. \n\nDriven by a team of world-class talent, we have been recognized by the Inc. 5000 list of fastest growing private companies 5 years in a row, the Washington Business Journal list of Fastest Growing Companies in the Washington, DC area two years in a row, and a top company for remote work by FlexJobs. We’re also an official partner to Atlassian, AWS, Cloudflare, GitHub, InVision, Ionic Framework, and Vue.js!\n\nBased on the model of an open source team, Modites work remotely, and are located across the globe. That’s allowed us to hire the best talent in the world, no matter where they live. Our highly collaborative, autonomous, and effective working environment is fueled by a team unified by a love of continuous learning. Our years of thought leadership including books, whitepapers, blog posts, conference and MeetUp talks, demonstrate our commitment to sharing what we’ve learned. \n\nWe encourage every Modus employee to do the same. Our company is a platform for the growth of our employees. Through working with our distributed team of experts on challenging projects, every person that joins the Modus team can expect to continue growing and learning every day. This is your chance to be part of building something great. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to DevOps, Senior, Engineer, JavaScript, Amazon, Serverless, Cloud, Python, Ruby and SaaS 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

\nHello! Are you ready to Work from Home and transform your career?\n\nWe're looking for an enthusiastic DevOps Engineer to join the engineering team at Modus. Want to help our client’s build awesome solutions to accomplish their goals and vision? Are you interested in working from home with some of the best talent on the planet? Then keep reading.\n\nAbout You\n\nYou love optimization and automation across multiple platforms and applications. Driving consistency for deployment and build processes is second nature for you. If you walk the line between software development and IT operations, we want to speak to you! We use modern tools, which means you’ll have the opportunity to work with software like Jenkins, Docker, Kubernetes, Amazon Web Services, Ansible, Terraform and much more. \n\nYou have the ability to develop Infrastructure as Code (laC) with tools like Terraform or CloudFormation. You are familiar and comfortable working with enterprise applications, in an agile environment. You are an expert at implementing cloud migrations to AWS and have working knowledge of cloud platforms and tools, including AWS serverless technologies. Must have working knowledge of handling Disaster Recovery and Business Continuity in AWS.\n\nYou should have experience building CI/CD pipelines with tools like Jenkins, CircleCI, or TravisCI. It would be nice if you had experience automating account creation or Identity and Access enrollment, Centralizing logs, Standardizing CI/CD pipelines and migrations from Azure AD.\n\nAn up to date Linux workstation or Mac is required, with advanced knowledge.\n\nExperience in Bash, Java, JavaScript or Python would be nice to have. Additional supporting skills include databases and SaaS providers, including: Mongo DB/Atlas/DocumentDB, DynamoDB, Elastic Search, Postgres, Oracle, MySQL, Heap & Google Analytics and Salesforce.\n\nYou love learning. Engineering is an ever-evolving world. You enjoy playing with new tech and exploring areas that you might not have experience with yet. You are self-driven, self-learner willing to share knowledge and participate actively in your community.\n\nHaving overlap with your team is critical when working in a global remote team. Modus requires all team members to overlap 100% with EST hours daily. In addition, reliable high speed internet is a must and a personal development environment running Mac OSX, Windows 10Pro, or Linux.\n\nAdditionally, as part of this role you will be expected to adhere to our customers information security requirements. This includes but is not limited to installing BitDefender endpoint security, provided by Modus Create, on the machine you will be connecting to the client’s network and systems with. BitDefender provides the following features: AntiVirus/AntiMalware, Intrusion detection systems, Blocking of phishing/compromised websites, full disk encryption (using native tools to the operating system), disable external storage, automatic patch deployment and Windows risk management.\n\nThings You Might Do\n\nModus is a fast-growing, and remote-first company, so you'll likely get experience on many different projects across the organization. That said, here are some things you'll probably do:\n\n\n* Give back to the community via open source and blog posts\n\n* Teach and be taught: Modus creates active teams that work in internal and external projects together, giving opportunities to stay relevant with the latest technologies and learning from experts worldwide\n\n* Interact directly with internal and external clients to represent Modus and its value\n\n\n\n\nWhy Modus Create:\n\nOur Benefits may vary according to the Country you are located in, so please reach out to our recruiter in case you have any questions.\n\nIf you become a contractor we offer:\n\n\n* Competitive compensation\n\n* 100% Remote work (could vary according to the client's needs)\n\n* Travel according to client's needs\n\n* The chance to work side-by-side with thought leaders in emerging tech\n\n\n\n\nDo you have what it takes? Apply today! \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to DevOps, Engineer, JavaScript, Amazon, Serverless, Cloud, Python, SaaS 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

\nThis role is contract to hire. \n\nBlue Orange Digital is looking for a Machine Learning Engineer to join our awesome multi-disciplinary team. We build data analytics platforms for our clients that incorporate machine learning to solve business problems. Blue Orange Digital works across multiple industries, this role provides an exciting set of experiences across a wide range of domains.\n\nYour primary focus will be the architecting and developing systems that include data ingestion, data processing, algorithm development, and ML model development & deployment. Major technologies involved include AWS, Python 3, Spark, Pandas, Tensorflow. The ideal candidate for this position has a mixture of experience in Machine Learning model development, Cloud Engineering, and Data Engineering.\n\nCore Responsibilities & Skills\n\n\n* Architecting, building and maintaining modern, scalable data architectures on AWS\n\n* Solving problems using Machine Learning and delivering ML solutions all the way to production\n\n* Building resilient ETL pipelines using workflow orchestration tools such as Airflow, Prefect, Luigi\n\n* Data exploration, analysis, and reporting with an eye towards developing a narrative using Notebooks.\n\n* Demonstrable experience in one or more of the following specializations: NLP, pattern detection, anomaly detection, predictive modeling, and optimization\n\n\n\n\nQualifications\n\n\n* BA/BS degree in Computer Science or a related technical field, or equivalent practical experience.\n\n* Advanced experience in Python with an excellent understanding of computer science fundamentals, data structures, and algorithms\n\n* Experience in Amazon AWS, DevOps and Automation\n\n* Experience with distributed machine learning using tools like Dask, Tensorflow, Kubeflow\n\n* Enjoys collaborating with other engineers on architecture and sharing designs with the team \n\n* Interacts with others using sound judgment, good humor, and consistent fairness in a fast-paced environment\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 Data Science, DevOps, Amazon, Cloud, Python and Engineer 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

\nBlue Orange Digital is looking for a Data Engineer to join our talented multi-disciplinary team. We build data analytics platforms for our clients that incorporate machine learning to solve business problems. Blue Orange Digital works across multiple industries, this role provides an exciting set of experiences across a wide range of domains.\n\nYour primary focus will be the architecting and developing systems that include data ingestion, data processing, algorithm development. Major technologies involved include AWS (Lambda, Glue, CloudFormation, EMR), Python 3, Spark, Pandas. Blue Orange engineers take end-to-end ownership of their code and platforms, so the ideal candidate for this position has a mixture of experience in Cloud Engineering and Data Engineering.\n\nCore Responsibilities & Skills\n\n\n* Architecting, building and maintaining modern, scalable data architectures on AWS\n\n* Building resilient production ETL pipelines using workflow orchestration tools such as Airflow, Prefect, AWS Step Functions\n\n* Deploying and managing infrastructure with automation to support data pipelines. \n\n* Deploying and scaling machine learning models in production. \n\n* Data exploration, analysis, and reporting with an eye towards developing a narrative using Notebooks.\n\n\n\n\nQualifications\n\n\n* BA/BS degree in Computer Science or a related technical field, or equivalent practical experience.\n\n* Advanced experience in Python with an excellent understanding of computer science fundamentals, complex data structure, data processing, data quality, data lifecycle, and algorithms.\n\n* Experience in Amazon AWS, DevOps and Automation (CloudFormation)\n\n* AWS certification, or progress toward, at the associate level (Solutions Architect or Developer), or specialty (Big Data) a strong advantage.\n\n* Enjoys collaborating with other engineers on architecture and sharing designs with the team \n\n* Excellent verbal and written English communication.\n\n* Interacts with others using sound judgment, good humor, and consistent fairness in a fast-paced environment\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, DevOps, English, Amazon, Cloud and Python 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

\nThis role is contract to hire. \n\nBlue Orange Digital is looking for a Machine Learning Engineer to join our awesome multi-disciplinary team. We build data analytics platforms for our clients that incorporate machine learning to solve business problems. Blue Orange Digital works across multiple industries, this role provides an exciting set of experiences across a wide range of domains.\n\nYour primary focus will be the architecting and developing systems that include data ingestion, data processing, algorithm development, and ML model development & deployment. Major technologies involved include AWS, Python 3, Spark, Pandas, Tensorflow. The ideal candidate for this position has a mixture of experience in Machine Learning model development, Cloud Engineering, and Data Engineering.\n\nCore Responsibilities & Skills\n\n\n* Architecting, building and maintaining modern, scalable data architectures on AWS\n\n* Solving problems using Machine Learning and delivering ML solutions all the way to production\n\n* Building resilient ETL pipelines using workflow orchestration tools such as Airflow, Prefect, Luigi\n\n* Data exploration, analysis, and reporting with an eye towards developing a narrative using Notebooks.\n\n* Demonstrable experience in one or more of the following specializations: NLP, pattern detection, anomaly detection, predictive modeling, and optimization\n\n\n\n\nQualifications\n\n\n* BA/BS degree in Computer Science or a related technical field, or equivalent practical experience.\n\n* Advanced experience in Python with an excellent understanding of computer science fundamentals, data structures, and algorithms\n\n* Experience in Amazon AWS, DevOps and Automation\n\n* Experience with distributed machine learning using tools like Dask, Tensorflow, Kubeflow\n\n* Enjoys collaborating with other engineers on architecture and sharing designs with the team \n\n* Interacts with others using sound judgment, good humor, and consistent fairness in a fast-paced environment\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 Data Science, DevOps, Amazon, Cloud, Python and Engineer 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

\nBlue Orange Digital is looking for a Data Engineer to join our talented multi-disciplinary team. We build data analytics platforms for our clients that incorporate machine learning to solve business problems. Blue Orange Digital works across multiple industries, this role provides an exciting set of experiences across a wide range of domains.\n\n\nYour primary focus will be the architecting and developing systems that include data ingestion, data processing, algorithm development. Major technologies involved include AWS (Lambda, Glue, CloudFormation, EMR), Python 3, Spark, Pandas. Blue Orange engineers take end-to-end ownership of their code and platforms, so the ideal candidate for this position has a mixture of experience in Cloud Engineering and Data Engineering.\n\n\nCore Responsibilities & Skills\n\n\n* Architecting, building and maintaining modern, scalable data architectures on AWS\n\n* Building resilient production ETL pipelines using workflow orchestration tools such as Airflow, Prefect, AWS Step Functions\n\n* Deploying and managing infrastructure with automation to support data pipelines. \n\n* Deploying and scaling machine learning models in production. \n\n* Data exploration, analysis, and reporting with an eye towards developing a narrative using Notebooks.\n\n\n\n\nQualifications\n\n\n* BA/BS degree in Computer Science or a related technical field, or equivalent practical experience.\n\n* Advanced experience in Python with an excellent understanding of computer science fundamentals, complex data structure, data processing, data quality, data lifecycle, and algorithms.\n\n* Experience in Amazon AWS, DevOps and Automation (CloudFormation)\n\n* AWS certification, or progress toward, at the associate level (Solutions Architect or Developer), or specialty (Big Data) a strong advantage.\n\n* Enjoys collaborating with other engineers on architecture and sharing designs with the team \n\n* Excellent verbal and written English communication.\n\n* Interacts with others using sound judgment, good humor, and consistent fairness in a fast-paced environment\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, DevOps, English, Amazon, Cloud and Python 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

\n Thrive Global is changing the way people live through our behavior change platform and apps used to impact individual and organizational well-being and productivity. The marriage of data and analytics, our best-in-class content and science-backed behavior change IP will help people go from knowing what to do to actually doing it, enabling millions of consumers to begin the Thrive behavior change journey.  As a technical lead on Thrive’s Data Science and Analytics team, you will play a significant role in building Thrive’s platform and products.\n\nWho We Are Looking For\n\n\n* A versatile engineering lead who has significant experience with data at all levels of maturity:  raw telemetry through deployment and maintenance of models in operations \n\n* Is excited about collaborating with others, engineering and non-engineering, both learning & teaching as Thrive grows.\n\n* An innovator looking to push the boundaries of automation, intelligent ETL, AIOps and MlOps to drive high-quality insights and operational efficiency within the team\n\n* Has a proven track record of building and shipping data-centric software products\n\n* Desires a position that is approximately 75% individual technical contributions and 25% mentoring junior engineers or serving as a trusted advisor to engineering leadership\n\n* Is comfortable in a high growth, start-up environment and is willing to wear many hats and come up with creative solutions.\n\n\n\n\nHow You’ll Contribute\n\n\n* Collaborate with the Head of Data Science and Analytics to design an architecture and infrastructure to support data engineering and machine learning at Thrive\n\n* Implement a production-grade data science platform which includes building data pipeline, automation of data quality assessments, and automatic deployment of models into production\n\n* Develop new technology solutions to ensure a seamless transition of machine learning algorithms to production software, to enable the building out of easy to use datasets and to reduce other friction points within the data science life-cycle\n\n* Assist with building a small but skilled interdisciplinary team of data professionals: scientists, analysts, and engineers\n\n* Consider user privacy and security at all times\n\n\n\n\nRequired Skills\n\n\n* Master’s or Ph.D. degree in Computer Science or a related discipline (e.g., Mathematics, Physics)\n\n* 3+ years of technical leadership, team size of 5 or more, in data engineering or machine learning projects\n\n* 8+ years of industry experience with data engineering and machine learning\n\n* Extensive programming experience in Java or Python with applications in data engineering and machine learning.\n\n* Experience with data modeling, large-scale batch, and real-time data processing, ETL design, implementation and maintenance\n\n* Excellent verbal and written communication skills\n\n* Self-starter with a positive attitude, intellectual curiosity and a passion for analytics and solving real-world problems\n\n\n\n\nRelevant Technology and Tools Experience\nA good cross-section of experience in the following areas is desired:\n\n\n* AI/ML platforms:  TensorFlow, Apache MXnet, Theano, Keras, CNTK, scikit-learn, H2O, Spark MLlib, AWS SageMaker, etc.\n\n* Relational databases: MySQL, Postgres, RedShift, etc.\n\n* Big data technologies:  Spark, HDFS, Hive, Yarn, etc.\n\n* Data ingestion tools: Kafka, NiFi, Storm, Amazon Kinesis, etc.\n\n* Deployment technologies:  Docker, Kubernetes, or OpenStack\n\n* Public Cloud:  Azure, AWS or Google Cloud Platform\n\n\n\n\nOur Mission\nThrive Global’s mission is to end the stress and burnout epidemic by offering companies and individuals sustainable, science-based solutions to enhance well-being, performance, and purpose, and create a healthier relationship with technology. Recent science has shown that the pervasive belief that burnout is the price we must pay for success is a delusion. We know, instead, that when we prioritize our well-being, our decision-making, creativity, and productivity improve dramatically. Thrive Global is committed to accelerating the culture shift that allows people to reclaim their lives and move from merely surviving to thriving.\n\nWhat We Offer\n\n\n* A mission-driven company that’s truly making a difference in the lives of people around the world  \n\n* Ability to develop within the company and shape our growth strategy\n\n* Human-centric culture with a range of wellness perks and benefits\n\n* Competitive compensation package\n\n* Medical, vision and dental coverage + 401k program with company match\n\n* Generous paid time-off programs \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, Teaching, Amazon, Java, Cloud, Python, Junior 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

\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