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Plusgrade


Montreal, Quebec
💰 $80k - $125k*

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Financial

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E-Commerce

Plusgrade

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Plusgrade is hiring a
Remote Développeur de données Data Engineer

\n*** English Version Below ***\n\n\nLes voyages vont bien au-delà de leur destination ; ils sont tissés de chaque souvenir que l'on crée en chemin. Notre engagement consiste à redéfinir l'avenir du voyage en collaborant avec plus de 200 compagnies aériennes, établissements hôteliers, sociétés de croisières, réseaux ferroviaires pour voyageurs et services financiers, dans le but de créer de nouvelles sources de revenus significatives grâce à des expériences client exceptionnelles. Fondés sur nos valeurs fondamentales d'ambition, d'innovation et de collaboration, nous sommes constamment poussés à repousser les limites, à surpasser les attentes et à exploiter le meilleur de chacun. Nous favorisons une culture qui repose sur la conviction que notre force réside dans notre unité, travaillant ensemble pour bâtir un avenir extraordinaire dans l'univers du voyage. Joignez-vous à nous pour transformer les voyages quotidiens en expériences véritablement extraordinaires.\n\n\nÀ PROPOS DU POSTE:\nNous recherchons un développeur de données pour rejoindre notre équipe d'ingénierie des données pour un poste permanent. Nous sommes une organisation de premier plan basée sur le web qui façonne continuellement la manière dont les consommateurs interagissent avec leurs programmes de fidélité. Nous travaillons avec les plus grandes compagnies aériennes, hôtels, institutions financières et programmes de fidélité de détail au monde, pour relever des défis complexes et trouver des solutions innovantes de commerce électronique ; l'équipe d'ingénierie des données joue un rôle essentiel à cet égard. Si vous souhaitez en faire partie, nous serions ravis d'avoir de vos nouvelles.\n\n\nSous la responsabilité du chef d'équipe, Ingénierie des données, vous allez :\n\n\n-Travailler dans une équipe basée sur la méthode Scrum qui est passionnée par la promotion d'une culture des données au sein de l'organisation.\n-Concevoir et développer des pipelines évolutifs et robustes pour la consommation de données par les applications en aval afin de soutenir les analyses avancées, les produits IA/ML et l'interopérabilité des systèmes.\n-Améliorer les mécanismes de traitement des données existants grâce à des tests et un suivi automatisés, afin d'améliorer continuellement l'intégrité et l'exactitude des données.\n-Participer activement à la conception de solutions et à la modélisation pour garantir que les produits de données sont développés conformément aux meilleures pratiques, aux normes et aux principes architecturaux.\n-Favoriser la collaboration et l'innovation afin de fournir des produits de données autonomes de haute qualité.\n-Soutenir les systèmes de production pour garantir un haut degré de disponibilité, de cohérence et d'exactitude des données.\n\n\nVOUS ÊTES UNE PERSONNE AVEC:\n-Une excellente expérience pratique dans le travail avec des ensembles de données SQL et NoSQL.\n-Une maîtrise de la mise en œuvre et du support des fonctionnalités et des fonctions de Snowflake.\n-Une expérience pratique de l'utilisation d'outils ETL tels que Talend et d'outils d'orchestration tels que Airflow.\n-Une expérience pratique de la mise en œuvre de services d'architecture analytique événementielle ou temps réel.\n-Une maîtrise du développement de produits de données en utilisant Python, SQL et Java.\n-Une compréhension des concepts modernes d'entrepôt de données et de modélisation des données, tels que Datalakes, flux, etc.\n-Une expérience pratique dans le développement de produits et de solutions BI en utilisant des plateformes telles que Tableau.\n-Une connaissance pratique des principes de DevOps tels que CI/CD.\n-Une connaissance pratique de l'informatique en nuage, en particulier des services AWS.\n-Discipliné, désireux d'aider, et surtout assoiffé d'apprentissage continu.\n-Axé sur le consommateur de données, constamment motivé à dépasser les besoins en données et en informations des parties prenantes.\n-Un communicateur et collaborateur efficace, au sein de l'équipe immédiate ainsi qu'avec d'autres unités organisationnelles.\n\n\nCE SERAIT UN PLUS:\n-Une solide connaissance des principes et pratiques généraux de l'ingénierie logicielle.\n-De l'expérience dans l'intégration de services, tels que Dataiku et NetSuite.\n-Une expérience pratique avec les services AWS.\n-De l'expérience avec les conteneurs et l'infrastructure associée, tels que Docker et Kubernetes.\n-De l'expérience dans le développement de produits de données en utilisant des outils de visualisation / tableau de bord comme Tableau.\n-De l'expérience avec les API RESTful.\n\n\nNOTRE STACK TECHNOLOGIQUE:\nVertica, PostgreSQL, CouchDB\nSnowflake\nServices de données Cloud AWS\nAirflow\nTalend\nGitLab\nTableau\nDocker/Kubernetes\nKafka-\n\n\nCE QUE VOUS AIMEREZ CHEZ NOUS:\n🏦 REER de contrepartie\n🏥 Plans de santé complets\n📅 Programme de congés payés flexible\n✈️ Allocation d’expérience de voyage\n🧘 Crédit annuel pour bien-être\n🥗 Événements d'équipe et déjeuners mensuels\n💻 Allocation pour des fournitures de bureau / transport\n🌅 Programme de travail à distance\n🍼 Programme de prime de congé parental\n🌍 Passeport pour l'aventure\n\n\nNOTRE PROCESSUS:\nPlusgrade est un employeur offrant des chances égales et s'engage à fournir un processus de recrutement accessible. Nous accueillons les candidatures de toutes les personnes qualifiées et nous sommes engagés à offrir des opportunités d'emploi égales, quel que soit l'identité ou l'expression de genre, la race, l'origine ethnique, la croyance, le lieu d'origine, l'âge, le sexe, l'état civil, le handicap physique ou mental, l'orientation sexuelle et toute autre catégorie protégée par la loi. Sur demande, nous fournirons un hébergement pour les candidats handicapés.\n\n\nNous croyons en la diversité et l'inclusivité, c'est pourquoi notre processus d'entrevue est conçu pour offrir une expérience de candidat positive et garantir que chaque candidat est évalué de manière égale. Toutes les candidatures seront examinées par notre équipe de talents et le ou les candidats retenus passeront par le processus de recrutement suivant:\n\n\n• Entrevue téléphonique avec le recruteur\n• Entrevue avec le responsable de l'embauche\n• Test pratique à domicile ou exercice de codage à distance (le cas échéant)\n• Entrevue en équipe\n\n\nTous les candidats recevront des commentaires, qu'ils réussissent ou non toutes les étapes de notre processus d'entrevue. Toutes vos informations seront confidentielles.\n\n\n\n\n\n\n\nTravel is not just about the destination; it's about every memory made along the way. We are dedicated to shaping the future of travel by partnering with 200+ airline, hospitality, cruise, passenger rail, and financial services companies to create new, meaningful revenue streams through incredible customer experiences. Rooted in our core values of being ambitious, innovative, and collaborative, we are driven to continuously raise the bar, exceed expectations, and bring out the best in everyone, fostering a culture where we believe we are better together, working towards an extraordinary future in travel. Come help us transform everyday travel into extraordinary experiences.\n\n\nABOUT THE ROLE:\nWe are  looking for a Data Engineer to join our Data Engineering team for a permanent position.\nWe’re an industry-leading web-based organization that is continuously reshaping how consumers interact with their loyalty programs. We work with the world’s largest airline, hotel, financial, and retail rewards programs, to tackle complex challenges and come up with innovative e-commerce solutions; with the Data Engineering team playing a critical role in. If you’d like to be a part of it, we’d love to hear from you.\n\n\nReporting to the Team Lead, Data Engineering, you will:\n-Work in a scrum-based team that is passionate about enabling a data culture throughout the organization.\n-Design and develop scalable and robust pipelines for data consumption by downstream applications in support of advanced analytics, AI/ML products, and system interoperability. \n-Improve upon existing data processing mechanisms through automated testing and monitoring, to continually enhance data integrity and accuracy.\n-Actively participate in solution design and modeling to ensure data products are developed according to best practices, standards, and architectural principles.\n-Foster collaboration and innovation in order to deliver high quality autonomous data products.\n-Support production systems to deliver a high degree of data availability, consistency, and accuracy.\n\n\n\n\nYOU ARE SOMEONE WITH:\n-Excellent hands-on experience in working with SQL and NoSQL data sets.\n-Proficiency in implementing and supporting Snowflake features and functions.\n-Hands-on experience using ETL tools such as Talend and orchestration tools such as Airflow.\n-Hands-on experience with implementing event-driven or real-time analytics architecture services.\n-Proficiency in developing data products using  python, SQL, and Java.\n-Understanding of modern data warehouse concepts and data modeling, i.e. Datalakes, streams, etc.\n-Hands-on experience in developing BI products and solutions using platforms such as Tableau.\n-Working knowledge of DevOps principles such as CI/CD.\n-Working knowledge of Cloud Computing, especially AWS services.\n-Self-disciplined, eager to help, and most importantly a thirst for continual learning.\n-Data consumer focused, constantly driven to exceed stakeholder data and information needs.\n-Effective communicator and collaborator, within the immediate team as well as across other organizational units.\n\n\n\n\nNICE TO HAVES:\n-Strong knowledge of general software engineering principles and practices.\n-Experience integrating with services, such as Dataiku and NetSuite.\n-Hands-on experience with AWS services.\n-Experience with containers and related infrastructure, such as Docker and Kubernetes.\n-Experience with developing data products using data visualization / dashboarding tools like Tableau.\n-Experience with RESTful APIs.\n\n\n\n\nOUR TECH STACK:\nVertica, PostgreSQL, CouchDB\nSnowflake\nAWS Cloud Data Services\nAirflow\nTalend\nGitLab\nTableau\nDocker/Kubernetes\nKafka\n\n\n\n\n\n\nWHAT YOU’LL LOVE ABOUT US:\n🏦 RRSP/401(k) Matching \n🏥 Comprehensive Health Plans \n📅 Flexible Paid Time Off \n✈️ Travel Experience Credit \n🧘 Annual Wellness Credit \n🥗 Team Events and Monthly Lunches\n💻 Home Office/Commuter Credit \n🌅 Work From Anywhere Program \n🍼 Parental Leave Top Up \n🌍 Adventure Pass\n\n\nOUR PROCESS:\nPlusgrade is an equal-opportunity employer and is committed to providing an accessible recruitment process. We welcome applications from all qualified individuals and are committed to equal employment opportunities regardless of gender identity or expression, race, ethnic origin, creed, place of origin, age, sex, marital status, physical or mental disability, sexual orientation, and any other category protected by law. Upon request, we will provide accommodation for applicants with disabilities.\n\n\nWe believe in diversity and inclusivity and that is why our interview process is designed for a positive candidate experience and to ensure every candidate is evaluated equally. All applications will be reviewed by our Talent Team and the successful candidate(s) will go through the following recruitment process:\n\n\n• Recruiter Phone Interview \n• Hiring Manager Interview\n• Take-home Assessment or remote coding exercise (if applicable)\n• Team Interview \n\n\nAll candidates will be provided with feedback regardless if they pass or didn’t pass any of our interview stages. All your information will be kept confidential.\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Docker, Recruiter, Travel, DevOps, Cloud, NoSQL, API and Engineer jobs that are similar:\n\n $80,000 — $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
\n\n#Location\nMontreal, Quebec
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Degreed


🇮🇳 India
💰 $83k - $128k*

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HTML

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Lead

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Engineering

Recruitment

Degreed

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👀 196 views

✅ 9 applied (5%)

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Degreed is hiring a
Remote Lead AI Software Engineer Hybrid

\nBeware of fraudulent recruitment activities impersonating Degreed. Scammers are using our name, “Degreed”, impersonating our website, and claiming to be affiliated with Degreed as part of a recruitment scam. Please note that Degreed does not recruit talent through WhatsApp, Telegram or any other direct-messaging systems other than Degreed.com e-mail and, during the interview process, phone numbers. We also do not request sensitive personal or financial information in an unsolicited manner, nor do we offer employment opportunities that require upfront payments or promise unrealistic returns.\n\nDegreed is the upskilling platform that connects learning to opportunities. We integrate everything people use to learn and build their careers—skill insights, LMSs, courses, videos, articles, and projects—and match everyone to growth opportunities that fit their unique skills, roles, and goals.\n\nThe Degreed Client Experience (CX) team plays a crucial role in ensuring customer satisfaction and success. The CX teams’ deep knowledge allows them to strategically guide clients, providing tremendous value. The CX team actively participates and assists clients with their learning journeys and transformations. The candidate will be working closely with the CX technical teams to design and maintain client support workflows powered by AI.\n\nThis role will be based onsite in Bengaluru, India. After an in-office onboarding period, incumbents are expected to be available in office for a few days per week as part of hybrid work model.  Candidates will also be required to travel internationally 1-2 times annually for full company gatherings.\nDay in the Life\n\n\n* Design, develop, and maintain cloud-based AI applications, leveraging a full-stack technology stack to deliver high-quality, scalable, and secure solutions. \n\n* Collaborate with cross-functional teams, including product managers, data scientists, and other engineers, to define and implement analytics features and functionality that meet business requirements and user needs. \n\n* Utilize Kubernetes and containerization technologies to deploy, manage, and scale analytics applications in cloud environments, ensuring optimal performance and availability. \n\n* Develop and maintain APIs and microservices to expose analytics functionality to internal and external consumers, adhering to best practices for API design and documentation. \n\n* Implement robust security measures to protect sensitive data and ensure compliance with data privacy regulations and organizational policies. \n\n* Continuously monitor and troubleshoot application performance, identifying and resolving issues that impact system reliability, latency, and user experience. \n\n* Participate in code reviews and contribute to the establishment and enforcement of coding standards and best practices to ensure high-quality, maintainable code. \n\n* Stay current with emerging trends and technologies in cloud computing, data analytics, and software engineering, and proactively identify opportunities to enhance the capabilities of the analytics platform. \n\n* Collaborate with DevOps and infrastructure teams to automate deployment and release processes, implement CI/CD pipelines, and optimize the development workflow for the analytics engineering team. \n\n* Collaborate closely with and influence business consulting staff and leaders as part of multi-disciplinary teams to assess opportunities and develop analytics solutions for Bain clients across a variety of sectors. \n\n* Influence, educate and directly support the analytics application engineering capabilities of our clients \n\n\n\nWho You Are\n\nWe seek outstanding individuals to join our outstanding teams. As a Lead AI Software Engineer you not only want to deliver great products, you also want to collaborate with other great engineers:\n\n\n* 5+ years at Senior or Staff level, or equivalent Software Development Experience\n\n* Experience with client-side technologies such as React, Angular, Vue.js, HTML and CSS \n\n* Experience with server-side technologies such as, Django, Flask, Fast API\n\n* Experience with Cloud platforms and services (AWS, Azure, GCP) via Terraform Automation (good to have)\n\n* 2+ years of Python \n\n* Experience with Git for versioning and collaborating \n\n* Experience with DevOps, CI/CD, Github Actions \n\n* Exposure to LLMs, Prompt engineering, Langchain a plus \n\n* Experience with workflow orchestration - doesn’t matter if it’s dbt, Beam, Airflow, Luigy, Metaflow, Kubeflow, or any other \n\n* Experience implementation of large-scale structured or unstructured databases, orchestration and container technologies such as Docker or Kubernetes \n\n* Strong interpersonal and communication skills, including the ability to explain and discuss complex engineering technicalities with colleagues and clients from other disciplines at their level of cognition  \n\n* Curiosity, proactivity and critical thinking  \n\n* Strong computer science fundaments in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance. \n\n* Strong knowledge in designing API interfaces \n\n* Knowledge of data architecture, database schema design and database scalability \n\n* Agile development methodologies \n\n\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 Design, Docker, Travel, DevOps, Cloud, HTML, Git, API, Senior and Engineer jobs that are similar:\n\n $82,500 — $127,500/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\n#Location\nBengaluru, Karnataka, India
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When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.


Orbital Insight


Arlington, VA
💰 $60k - $110k*

SaaS

 

System

Python

Support

Developer

Software

Testing

Code

DevOps

API

Lead

Engineer

Engineering

Linux

Orbital Insight

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Orbital Insight is hiring a
Remote Sr Devops Engineer Public Sector

\nOur mission at Orbital Insight is to understand what we’re doing on and to the Earth. We do this through our cloud-based SaaS platform, Orbital Insight Terrascope and on-premise offering, Terrabox, by ingesting geospatial data at massive scales, then applying state-of-art AI/ML and Data Science algorithms at scale. \n\n\nIn order to achieve this, the cloud infrastructure engineering team is motivated to provide a robust infrastructure layer between the platform and the cloud providers. This software layer is centered around Kubernetes to provide cloud agnostic feasibility and requires deployability on customers’ cloud environments.\n\n\nOur work spans multiple areas including cloud agnostic infrastructure, networking, orchestration, distributed storage, and online/streaming processing. If you enjoy applying computer science fundamentals to real-world challenges and building scalable systems, you will fit right in.\n\n\nIn order to take our government business to the next level we are looking to hire a DevOps Engineer to join our Public Sector team. This DevOps Engineer will work on developing, adapting, and extending our commercial software products to fit the needs of our government customers.\nAt Orbital Insight, we work in cross-functional Agile teams, exploring how geospatial data, data science, AI/deep learning, computer vision, and intimacy with user needs can create entirely new products that give novel insights about what we are doing on and to the earth. Our pioneering products help people answer questions that cannot be answered today.\n\n\nWe value experienced engineers who already have a breadth of experience in multiple areas -- databases, devops, machine learning, API design, and more -- and are eager to learn new areas and new technologies.\nIf all this sounds interesting to you, we’d love to meet you.\n\n\nThe position is remote with as needed to travel to customer sites in the Washington DC area. Occasional travel to corporate headquarters in Palo Alto, California.\n\n\nThis position requires active TS/SCI(DOD) clearance\n\n\n\nResponsibilities\n* Lead deployment and maintenance of our flagship product Terrascope, from GovCloud to JWICS You are the primary engineer for these initiatives\n* Ability to lead a cross functional team for a government engagement including facilitating design and implementation, as well as project management, to meet contractual deliverables\n* Design and develop the software layer between the platform and the cloud providers\n* Understanding the requirements for cloud provider agnostic and air-gapped environments\n* Be responsible for the runtime infrastructure under our production system and all developer resources\n* Automate packaging and testing for releases and bootstrapping\n* Attending technology conferences that will help support learning, as well as, bringing ideas from greater community that can further improve our solutions\n\n\n\nMandatory Qualifications\n*  5 Years Minimum Experience as DevOps Engineer\n*  3 years experience with Kubernetes to deploy, scale and manage containers with configuration using Helm charts\n* Comfortable at command line and working within Linux operating system (preferably RHEL)\n* Experience working with Docker or other Container technologies\n* Experience working with cloud providers such as AWS, GCP, or Azure . Configuring networking (DNS, routing, load balancing)  will be a good example\n* Command of a scripting language such as Python or Bash, as well as Git\n* Proficiency and experience with infrastructure as code (IaC) tools, such as Terraform\n\n\n\nPreferred Qualifications\n* Experience with JWICS integration (PKI, NPE Certs)\n* Experience with air-gapped system / on-premise deployment\n* Experience with databases and message queues\n* Experience with Cloud/Kubernetes security \n* Computer science, electrical engineering degree or related experience\n\n\n\n\n$140,000 - $210,000 a yearSalary range includes annual base salary only\n\nAt Orbital Insight, we believe that a diverse workforce that reflects the diversity of our planet is the way to achieve our mission: to understand what is happening on and to the Earth.  Orbital Insight is an Equal Employment Opportunity and Affirmative Action Employer. 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. We do not accept unsolicited headhunter and agency resumes and will not pay any third-party agency or company that does not have a signed agreement with Orbital Insight. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, SaaS, Python, Docker, Testing, DevOps, Cloud, API, Engineer and Linux jobs that are similar:\n\n $60,000 — $110,000/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\n#Location\nArlington, VA
Apply for this job

👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!

When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.

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