SENIOR LINUX IT SYSTEMS ENGINEER \n\nFreeform is deploying software-defined, autonomous metal 3D printing factories around the world, bringing the scalability of software to physical production. Our proprietary technology stack leverages advanced sensing, real-time controls, and data-driven learning to produce digitally-verified, flawless parts at unprecedented speed and cost. Our mission is to make the transformative power of 3D printing available to all industries at scale and unlock the future of innovation.  \n\nWe are looking for a highly passionate and self-motivated individual who can excel in a dynamic work environment and will play a critical role in building our IT infrastructure. In this role, you will architect and deploy a wide variety of IT solutions to enable our advanced heterogeneous computing environment to process petabytes of data and integrate with a hybrid cloud platform. This high-impact role with a rapidly scaling technology company is perfect for someone who wants to build things from the ground up using the latest developments in big data and cloud computing.  \n\n3D printing experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology!  \n\nResponsibilities:  \n\n\nBuild highly resilient, high-performance, scalable, and flexible IT systems \n\nDesign, implement, manage, document & troubleshoot: \n\n\nCompute and storage environments to support ML, big data, and Kubernetes workloads  \n\nData management and archiving systems\n\n\n\n\n\n* Perform DevOps activities such as: \n\n\nInfrastructure as Code (IaC): Develop and maintain infrastructure as code (IaC) using tools like Terraform or CloudFormation to automate the provisioning and configuration of infrastructure resources. \n\nContinuous Integration/Continuous Deployment (CI/CD): Design, implement, and maintain CI/CD pipelines to automate software delivery processes, including code compilation, testing, and deployment. \n\nMonitoring and Alerting: Implement and maintain monitoring and alerting systems to ensure the health, performance, and availability of systems and applications. This includes setting up dashboards, configuring alerts, and responding to incidents. \n\nSecurity and Compliance: Collaborate with security teams to implement and maintain security best practices, including vulnerability scanning, access control, and compliance with industry standards and regulations.\n\n\n\n\n\nMaintain and administer hybrid cloud infrastructure   \n\nNetworking and firewall hardware and software management\n\nTroubleshoot various technical issues across operating systems (Linux, Windows, etc.), multiple applications, and hardware (Ruckus, Cisco, FortiGate, Supermicro, etc.)\n\nOperate under tight timelines and limited resources (be scrappy)\n\nRoll up your sleeves, have a “no job too big or small” mentality, be flexible, etc.  \n\n\n\n\nBasic Qualifications:  \n\n\n5+ years of experience in IT Linux systems engineering  \n\nExperience with containerization technologies like Docker and container orchestration platforms like Kubernetes (cloud and on-prem) \n\nDemonstrated experience with automation tools such as Ansible, Puppet, or Chef\n\nHands-on experience with cloud platforms such as AWS, Azure, or Google Cloud, including provisioning, monitoring, and scaling resources in a cloud-native environment.\n\nExperience with CI/CD pipelines using tools like Jenkins, Github Actions or CircleCI  \n\nExperience with monitoring tools such as Prometheus, Grafana, or ELK stack (Elasticsearch, Logstash, Kibana)  \n\nLinux scripting/automation experience using shell, bash, Python, or similar language \n\n\n\n\nNice to Have:  \n\n\nExperience working for an engineering company and building an IT infrastructure for software or hardware engineers \n\nExperience with VMware deployment clusters and high availability \n\nKnowledge of best practices around data security and implementation of those practices (edge protection, ISO/IEC 27001, ITAR, PII, etc.) \n\nExperience scoping, implementing, and partitioning physical and virtual servers in an enterprise environment for analysis clusters and computing, data storage, programming development environments, and other applications \n\nProven ability to work independently with minimal supervision; must be a self-motivated self-starter that can initiate ideas \n\nAbility to participate in after-hours, on-call support for computer, network, and phone issues \n\nExperience setting up and supporting a remote work environment for offsite employees \n\nDegree in computer science, engineering, IT, information systems, math, physics, or similar technical discipline \n\n\n\n\nLocation: \n\n\nWe are located in Hawthorne in a 35,000 square foot, state-of-the-art facility featuring large open spaces for team collaboration, R&D, and production, as well as easy access to the 405, 105, and 110 freeways. Our facility is in the heart of LA’s vibrant emerging tech ecosystem alongside many other high growth startups and enterprises.  \n\n\n\n\nWhat We Offer: \n\n\nWe have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions. \n\nWe offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology. \n\nBenefits \n\n\nSignificant stock option packages\n\n100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options)\n\nLife insurance\n\nTraditional and Roth 401(k)\n\nPaid vacation, sick leave, and company holidays\n\nGenerous Paid Parental Leave and extended transition back to work for the birthing parent\n\nFree daily catered lunch and dinner, and fully stocked kitchenette\n\nCasual dress, flexible work hours, and regular catered team building events\n\n\n\n\n\nCompensation  \n\n\nAs an early-stage startup, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the company’s current stage of development and allows the employee to grow and develop within a role.\n\nIn addition to the significant stock option package, the estimated salary range for this role is $110,000-$180,000, inclusive of all levels/seniority within this discipline.\n\n\n\n\n\nFreeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.  \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 Docker, DevOps, Cloud, Senior and Engineer jobs that are similar:\n\n $65,000 — $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\nLos Angeles, California, United States

SENIOR IT SYSTEMS ENGINEER (BIG DATA INFRASTRUCTURE)\n\nFreeform is deploying software-defined, autonomous metal 3D printing factories around the world, bringing the scalability of software to physical production. Our proprietary technology stack leverages advanced sensing, real-time controls, and data-driven learning to produce digitally-verified, flawless parts at unprecedented speed and cost. Our mission is to make the transformative power of 3D printing available to all industries at scale and unlock the future of innovation.  \n\nWe are looking for a highly passionate and self-motivated individual who can excel in a dynamic work environment and will play a critical role in building our IT infrastructure. In this role, you will architect and deploy a wide variety of IT solutions to enable our advanced heterogeneous computing environment to process petabytes of data and integrate with a hybrid cloud platform. This high-impact role with a rapidly scaling technology company is perfect for someone who wants to build things from the ground up using the latest developments in big data and cloud computing.  \n\n3D printing experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology!  \n\nResponsibilities:  \n\n\nBuild highly resilient, high-performance, scalable, and flexible IT systems \n\nDesign, implement, manage, document & troubleshoot: \n\n\nCompute and storage environments to support ML, big data, and Kubernetes workloads  \n\nData management and archiving systems\n\n\n\n\n\n* Perform DevOps activities such as: \n\n\nInfrastructure as Code (IaC): Develop and maintain infrastructure as code (IaC) using tools like Terraform or CloudFormation to automate the provisioning and configuration of infrastructure resources. \n\nContinuous Integration/Continuous Deployment (CI/CD): Design, implement, and maintain CI/CD pipelines to automate software delivery processes, including code compilation, testing, and deployment. \n\nMonitoring and Alerting: Implement and maintain monitoring and alerting systems to ensure the health, performance, and availability of systems and applications. This includes setting up dashboards, configuring alerts, and responding to incidents. \n\nSecurity and Compliance: Collaborate with security teams to implement and maintain security best practices, including vulnerability scanning, access control, and compliance with industry standards and regulations.\n\n\n\n\n\nMaintain and administer hybrid cloud infrastructure   \n\nNetworking and firewall hardware and software management\n\nTroubleshoot various technical issues across operating systems (Linux, Windows, etc.), multiple applications, and hardware (Ruckus, Cisco, FortiGate, Supermicro, etc.)\n\nOperate under tight timelines and limited resources (be scrappy)\n\nRoll up your sleeves, have a “no job too big or small” mentality, be flexible, etc.  \n\n\n\n\nBasic Qualifications:  \n\n\n5+ years of experience in IT Linux systems engineering  \n\nExperience designing infrastructure for big data and/or high-performance computing (HPC) \n\nDemonstrated experience with automation tools such as Ansible, Puppet, or Chef \n\nHands-on experience with cloud platforms such as AWS, Azure, or Google Cloud, including provisioning, monitoring, and scaling resources in a cloud-native environment. \n\nExperience with CI/CD pipelines using tools like Jenkins, Github Actions or CircleCI  \n\nExperience with containerization technologies like Docker and container orchestration platforms like Kubernetes (cloud and on-prem)  \n\nExperience with monitoring tools such as Prometheus, Grafana, or ELK stack (Elasticsearch, Logstash, Kibana)  \n\nLinux scripting/automation experience using shell, bash, Python, or similar language \n\n\n\n\nNice to Have:  \n\n\nExperience working for an engineering company and building an IT infrastructure for software or hardware engineers \n\nExperience with VMware deployment clusters and high availability \n\nKnowledge of best practices around data security and implementation of those practices (edge protection, ISO/IEC 27001, ITAR, PII, etc.) \n\nExperience with Active Directory and multi-platform authentication/identification environments. \n\nExperience scoping, implementing, and partitioning physical and virtual servers in an enterprise environment for analysis clusters and computing, data storage, programming development environments, and other applications \n\nProven ability to work independently with minimal supervision; must be a self-motivated self-starter that can initiate ideas \n\nAbility to participate in after-hours, on-call support for computer, network, and phone issues \n\nExperience setting up and supporting a remote work environment for offsite employees \n\nDegree in computer science, engineering, IT, information systems, math, physics, or similar technical discipline \n\n\n\n\nLocation: \n\n\nWe are located in Hawthorne in a 35,000 square foot, state-of-the-art facility featuring large open spaces for team collaboration, R&D, and production, as well as easy access to the 405, 105, and 110 freeways. Our facility is in the heart of LA’s vibrant emerging tech ecosystem alongside many other high growth startups and enterprises.  \n\n\n\n\nWhat We Offer: \n\n\nWe have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions. \n\nWe offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology. \n\nBenefits \n\n\nSignificant stock option packages\n\n100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options)\n\nLife insurance\n\nTraditional and Roth 401(k)\n\nPaid vacation, sick leave, and company holidays\n\nGenerous Paid Parental Leave and extended transition back to work for the birthing parent\n\nFree daily catered lunch and dinner, and fully stocked kitchenette\n\nCasual dress, flexible work hours, and regular catered team building events\n\n\n\n\n\nCompensation  \n\n\nAs an early-stage startup, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the company’s current stage of development and allows the employee to grow and develop within a role.\n\nIn addition to the significant stock option package, the estimated salary range for this role is $90,000-$180,000, inclusive of all levels/seniority within this discipline.\n\n\n\n\n\nFreeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.  \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 Docker, DevOps, Cloud, Senior, Engineer and Linux jobs that are similar:\n\n $65,000 — $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\nLos Angeles, California, United States

About Paperspace\n\nPaperspace is a cloud computing company creating simple and scalable accelerated computing applications. Our goal is to allow individuals and professional teams to build applications with ease -  from Machine Learning to 3D graphics.\n\nPaperspace is backed by leading investors including Y Combinator, Initialized Capital, Battery Ventures, and Intel Capital.\n\nOur Team \n\nPaperspace values technical excellence in an open and inclusive environment. The team is primarily based in NYC, but we have a strong remote/hybrid team. Communication is paramount and mutual respect is at the core of our collaborative work environment. We are also committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe creating a more diverse team directly impacts our ability to collaborate effectively, build a better community, and produce better products.\n\nThe Role\n\nIn this role, you'll be working with teams working on applied ML problems across a range of use cases such as computer vision, robotics, natural language processing, and more. Your responsibility will be to develop models for both internal and customer-facing applications with the Gradient platform. You'll have the opportunity to collaborate with ML teams across several industries to improve their workflow and educate them on ML best practices. \n\nYou'll partner with Customer Support, Product, and Engineering to develop in-house ML expertise and help our customers on-board and adopt a modern MLOps methodology. You'll help drive adoption, understand innovative customer use cases, and serve as the primary problem solver in our customers' ML workflows. In addition to supporting our customers, you will have access to a cloud-scale GPU platform to research and develop state-of-the-art ML systems.\n\nThis is a perfect opportunity for anyone who has machine learning experience, is customer-oriented, and is looking to work with the top ML companies in the world. If you enjoy working with highly technical engineering teams and thrive in an autonomous environment, we encourage you to apply.\n\nWhat you'll be doing\n\n• Be an expert in implementing effective, robust, and reproducible machine learning pipelines for ML teams using our platform\n• Effectively articulate best practices for instrumenting machine learning pipelines to our customers \n• Partner with our customers to uncover their desired outcomes and be the trusted advisor to help them realize the full potential of Gradient in solving their problems\n• Partner with the Sales Engineering team to ensure there's a smooth transition from POC to when a new customer is onboarded. \n• Create processes for the post-sales lifecycle (Onboarding/Training, Adoption, Workshops, Demos, etc.)\n• Develop and refine product documentation\n• Develop sample projects that can run seamlessly on the platform\n• Collaborate closely with Support, Product, and Engineering teams to influence product roadmap based on customer feedback\n• Actively use Gradient features in a variety of scenarios to provide internal product guidance\n• Contribute ideas and feedback and help prioritize feature requests and bug fixes\n• Design and build clear and compelling example projects to guide users and showcase our product to customers: end-to-end ML models with reproducible workflows, illustrative tutorials, and how-tos for specific tasks in Gradient, general explanatory blog posts, etc\n• Listen to and partner with our customers, academic users, and the broader community to understand and help prioritize their workflows in Gradient\n• Keep the organization apprised of new developments in applied & theoretical ML\n• Prototype new features for visualization and analysis in state-of-the-art deep learning research\n\nWhat we're looking for\n\n• 3+ years of experience in a professional working environment in an ML Engineer or adjacent role\n• Experience using one or more of the following packages: TensorFlow/Keras, PyTorch\n• Strong programming proficiency in Python and eagerness to help customers who are primarily users of ML/DL frameworks and tools be successful\n• Excellent communication and presentation skills, both written and verbal\n• Ability to effectively manage multiple conflicting priorities, respond promptly, and manage time effectively in a fast-paced, dynamic team environment\n• Ability to break down complex problems and resolve them through customer consultation and execution.\n• Experience with cloud platforms (AWS, GCP, Azure)\n• Experience with Linux/Unix\n• Applied machine learning experience in the industry: training, tuning, debugging, and deploying machine learning models integral to a product or service, in a collaborative team environment\n• Familiarity with a range of ML frameworks and domains (computer vision, natural language processing, reinforcement learning, statistics, etc)\n• Building internal tools and/or giving internal demos and interactive access to your ML models, e.g. sharing scripts, notebooks, or an endpoint to help your team visualize results, understand model performance, or evaluate improvement across versions\n• Caring deeply about the user experience for what you build: thinking through the details, anticipating and testing the edge cases, and considering future applications\n• Writing easy-to-follow code and effective documentation for your projects\n• Ability to clearly communicate your ideas to folks across a range of backgrounds and levels of technical knowledge\n• Strong writing and data visualization skills\n\nStrong Plus\n\n• Proficiency with one or more of the following packages: TensorFlow/Keras, PyTorch, HuggingFace, Fastai, scikit-learn, XGBoost, Jupyter, \n• Experience with hyperparameter optimization solutions\n• Experience with data engineering, MLOps, and tools such as Docker and Kubernetes\n• Experience with data pipeline tools\n• Experience as an ML educator and/or building and executing customer training sessions, product demos,\n and/or workshops at a SaaS company\n• You have thought deeply about your role in the future of artificial intelligence/technological advancement and want to help make machine • learning more accessible, transparent, and collaborative\n• Experience contributing to architecture and systems design\n• Teaching experience\n\nWhy join us? \n\n• Top-tier machine learning teams rely on our tools for their daily work\n• This role gives you first-hand experience talking with leading researchers in the field, understanding their problems, and directly shaping the product direction.\n• Customers genuinely benefit from our tool. Over 500K users have used Paperspace, and over 22% of signups are from referrals.\n• A best-in-class product in one of the fastest-growing and largest market segments\n\nBenefits\n\n• Multiple health care insurance options with premium plans in addition to vision and dental insurance plans\n• 401(k) Plan with employer matching\n• Commuter benefits with a contribution from the company \n• Responsible Time Off Policy \n• Generous and flexible parental leave\n• Fitness & wellness benefit\n• Remote friendly and hybrid office environment for New York team members\n\nWe are an equal opportunity employer that values and welcomes diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.\n\n#LI-Remote \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Cloud, Machine Learning, Senior, Marketing, Sales, Engineer, Front End, Teaching, Python 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
\n\n#Location\nNew York City