The Team\n\nAcross our work in Science, Education, and within our communities, we pair technology with grantmaking, impact investing, and collaboration to help accelerate the pace of progress toward our mission. Our Central team provides the support needed to push this work forward. \n\nThe Central team at CZI consists of our Finance, People & DEI, Real Estate, Events, Workplace, Facilities, Security, Brand & Communications, Business Systems, Central Operations, Strategic Initiatives, and Ventures teams. These teams provide strategic support and operational excellence across the board at CZI.\nThe Opportunity\n\nBy pairing engineers with leaders in our science and education teams, we can bring AI/ML technology to the table in new ways to help drive solutions. We are uniquely positioned to design, build, and scale software systems to help educators, scientists, and policy experts better address the myriad challenges they face. Our technology team is already helping schools bring personalized learning tools to teachers and schools across the country. We are also supporting scientists around the world as they develop a comprehensive reference atlas of all cells in the human body, and are developing the capacity to apply state-of-the-art methods in artificial intelligence and machine learning to solve important problems in the biomedical sciences. \n\nThe AI/ML and Data Engineering Infrastructure organization works on building shared tools and platforms to be used across all of the Chan Zuckerberg Initiative, partnering and supporting the work of a wide range of Research Scientists, Data Scientists, AI Research Scientists, as well as a broad range of Engineers focusing on Education and Science domain problems. Members of the shared infrastructure engineering team have an impact on all of CZI's initiatives by enabling the technology solutions used by other engineering teams at CZI to scale. A person in this role will build these technology solutions and help to cultivate a culture of shared best practices and knowledge around core engineering.\nWhat You'll Do\n\n\n* Participate in the  technical design and building of efficient, stable, performant, scalable and secure AI/ML and Data infrastructure engineering solutions.\n\n* Active hands-on coding working on our Deep Learning and Machine Learning models\n\n* Design and implement complex systems integrating with our large scale AI/ML GPU compute infrastructure and platform, making working across multiple clouds easier and convenient for our Research Engineers, ML Engineers, and Data Scientists. \n\n* Use your solid experience and skills in building containerized applications and infrastructure using Kubernetes in support of our large scale GPU Research cluster as well as working on our various heterogeneous and distributed AI/ML environments.  \n\n* Collaborate with other team members in the design and build of our Cloud based AI/ML platform solutions, which includes Databricks Spark, Weaviate Vector Databases, and supporting our hosted Cloud GPU Compute services running containerized PyTorch on large scale Kubernetes.\n\n* Collaborate with our partners on data management solutions in our heterogeneous collection of complex datasets.\n\n* Help build tooling that makes optimal use of our shared infrastructure in empowering  our AI/ML efforts with world class GPU Compute Cluster and other compute environments such as our AWS based services.\n\n\n\nWhat You'll Bring\n\n\n* BS or MS degree in Computer Science or a related technical discipline or equivalent experience\n\n* 5+ years of relevant coding experience\n\n* 3+ years of systems Architecture and Design experience, with a broad range of experience across Data, AI/ML, Core Infrastructure, and Security Engineering\n\n* Scaling containerized applications  on Kubernetes or Mesos, including expertise  with creating custom containers using secure AMIs and continuous deployment systems that integrate with Kubernetes or Mesos. (Kubernetes preferred)\n\n* Proficiency with Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure, and experience with On-Prem and Colocation Service hosting environments\n\n* Proven coding ability with a systems language such as Rust,C/ C++, C#, Go, Java, or Scala\n\n* Shown ability with a scripting language such as Python, PHP, or Ruby\n\n* AI/ML Platform Operations experience in an environment with challenging data and systems platform challenges - including large scale Kafka and Spark deployments (or their coralaries such as Pulsar, Flink, and/or Ray) as well as Workflow scheduling tools such as Apache Airflow, Dagster, or Apache Beam  \n\n* MLOps experience working with medium to large scale GPU clusters in Kubernetes (Kubeflow),  HPC environments, or large scale Cloud based ML deployments\n\n* Working knowledge of Nvidia CUDA and AI/ML custom libraries.  \n\n* Knowledge of Linux systems optimization and administration\n\n* Understanding of Data Engineering, Data Governance, Data Infrastructure, and AI/ML execution platforms.\n\n* PyTorch, Karas, or Tensorflow  experience a strong nice to have\n\n* HPC with and Slurm experience a strong nice to have\n\n\n\nCompensation\n\nThe Redwood City, CA base pay range for this role is $190,000 - $285,000. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Pay ranges outside Redwood City are adjusted based on cost of labor in each respective geographical market. Your recruiter can share more about the specific pay range for your location during the hiring process.\nBenefits for the Whole You \n\nWe’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. \n\n\n* CZI provides a generous employer match on employee 401(k) contributions to support planning for the future.\n\n* Annual benefit for employees that can be used most meaningfully for them and their families, such as housing, student loan repayment, childcare, commuter costs, or other life needs.\n\n* CZI Life of Service Gifts are awarded to employees to “live the mission” and support the causes closest to them.\n\n* Paid time off to volunteer at an organization of your choice. \n\n* Funding for select family-forming benefits. \n\n* Relocation support for employees who need assistance moving to the Bay Area\n\n* And more!\n\n\n\nCommitment to Diversity\n\nWe believe that the strongest teams and best thinking are defined by the diversity of voices at the table. We are committed to fair treatment and equal access to opportunity for all CZI team members and to maintaining a workplace where everyone feels welcomed, respected, supported, and valued. Learn about our diversity, equity, and inclusion efforts. \n\nIf you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.\n\nExplore our work modes, benefits, and interview process at www.chanzuckerberg.com/careers.\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 Design, Amazon, Recruiter, Cloud, Senior and Engineer jobs that are similar:\n\n $42,500 — $82,500/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\nRedwood City, California, United States

The Team\n\nThe AI/ML team is funding and building one of the largest computing systems dedicated to nonprofit life science research in the world. This new effort will provide the scientific community with access to predictive models of healthy and diseased cells, which will lead to groundbreaking new discoveries that could help researchers cure, prevent, or manage all diseases by the end of this century.\n\nAs a hands-on Manager of the AI System Infrastructure and MLOps Engineering team, you will be joining the AI/ML and Data Engineering team in CZI Central Tech, with the responsibility for the stability and scalable operations of our leading edge GPU Cloud Compute Cluster. This supports our AI Researchers in their development and training of state-of-the-art models in artificial intelligence and machine learning to solve important problems in the biomedical sciences aligned with CZI’s mission, contributing to greater understanding of human cell function.\nThe Opportunity\n\nAs the Engineering Manager of the AI Infrastructure and MLOps Engineering team, you will be responsible for a variety of MLOps and AI development projects  that empower our AI Researchers and help to accelerate Biomedical research across the whole of the AI lifecycle. You will guide our AI Systems Infrastructure and MLOps efforts focused on our GPU Cloud Cluster operations, ensuring that our systems are highly utilized, performant, and stable. You will be working in collaboration with other members of our own AI Engineering team as well as the Science Initiative’s AI Research team as they iterate and train their deep learning code, optimizing systems operations and in helping to troubleshoot problems encountered by jobs running on the cluster.\nWhat You'll Do\n\n\n* Help to build out the MLOPs and Systems Infrastructure Engineering team, growing the team to support the large scale capacity systems and AI training efforts we will be undertaking.\n\n* Drive our MLOps processes and System Infrastructure Engineering efforts in ensuring that our GPU Cloud computing systems are highly utilized and stable, and proactively guide our team in implementing the instrumentation and observability tooling integral to our AI Platform.\n\n* Own the on-call efforts for our GPU Cloud computing systems, building out the MLOps and Systems Infrastructure Engineering alerting and monitoring efforts for our leading edge Kubernetes based AI platform, including troubleshooting problems encountered on the GPU platform infrastructure and  with  jobs running on the cluster and computing systems.\n\n* Responsibility for a variety of AI/ML development infrastructure, instrumentation, and telemetry projects that empower our team in supporting our users across the  AI/ML lifecycle, taking a key role in simplifying and optimizing the systems and processes that are integral to our GPU Cloud Cluster operations - in an MLOps meets SRE kind of hybrid operations model.\n\n* Mentoring and managing your team in fulfilling their roles to the best of their abilities, provide skill and career coaching to help the team members keep growing along their own career and life paths, and keep the team engaged in meaningful and interesting projects in service of our north star philanthropic mission\n\n\n\nWhat You'll Bring\n\n\n* Hands-on AI/ML Model Training Platform Operations experience in an environment with challenging data and systems platform challenges\n\n* MLOps experience working with medium to large scale GPU clusters in Kubernetes, HPC environments, or large scale Cloud based ML deployments (Kubernetes Preferred)\n\n* BS, MS, or PhD degree in Computer Science or a related technical discipline or equivalent experience\n\n* 2+ years of experience managing MLOps teams\n\n* 7+ years of relevant coding and systems experience\n\n* 7+ years of relevant coding and systems experience\n\n* 7+ years of systems Architecture and Design experience, with a broad range of experience across Data, AI/ML, Core Infrastructure, and Security Engineering\n\n* Strong understanding of scaling containerized applications  on Kubernetes or Mesos, including solid understanding of AI/ML training with containers using secure AMIs and continuous deployment systems that integrate with Kubernetes or Mesos. (Kubernetes preferred)\n\n* Proficiency with Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure, and experience with On-Prem and Colocation Service hosting environments\n\n* Solid coding ability with a systems language such as Rust,C/ C++, C#, Go, Java, or Scala\n\n* Extensive experience with a scripting language such as Python, PHP, or Ruby (Python Preferred)\n\n* Working knowledge of Nvidia CUDA and AI/ML custom libraries. \n\n*  Knowledge of Linux systems optimization and administration\n\n* Understanding of Data Engineering, Data Governance, Data Infrastructure, and AI/ML execution platforms.\n\n* PyTorch, Karas, or Tensorflow  experience a strong nice to have\n\n\n\nCompensation\n\nThe Redwood City, CA base pay range for this role is $214,000 - $321,000. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Pay ranges outside Redwood City are adjusted based on cost of labor in each respective geographical market. Your recruiter can share more about the specific pay range for your location during the hiring process.\nBenefits for the Whole You \n\nWe’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. \n\n\n* CZI provides a generous 100% match on employee 401(k) contributions to support planning for the future. \n\n* Annual funding for employees that can be used most meaningfully for them and their families, such as housing, student loan repayment, childcare, commuter costs, or other life needs.\n\n* CZI Life of Service Gifts are awarded to employees to “live the mission” and support the causes closest to them.\n\n* Paid time off to volunteer at an organization of your choice. \n\n* Funding for select family-forming benefits. \n\n* Relocation support for employees who need assistance moving to the Bay Area\n\n* And more!\n\n\n\nCommitment to Diversity\n\nWe believe that the strongest teams and best thinking are defined by the diversity of voices at the table. We are committed to fair treatment and equal access to opportunity for all CZI team members and to maintaining a workplace where everyone feels welcomed, respected, supported, and valued. Learn about our diversity, equity, and inclusion efforts. \n\nIf you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.\n\nExplore our work modes, benefits, and interview process at www.chanzuckerberg.com/careers.\n\n#LI-Remote #LI-Hybrid #LI-Onsite \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Amazon, Recruiter, Cloud and Ruby jobs that are similar:\n\n $30,000 — $80,000/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\nRedwood City, California, United States

The Team\n\nThe AI/ML team is funding and building one of the largest computing systems dedicated to nonprofit life science research in the world. This new effort will provide the scientific community with access to predictive models of healthy and diseased cells, which will lead to groundbreaking new discoveries that could help researchers cure, prevent, or manage all diseases by the end of this century.\n\nAs a hands-on Manager of the AI System Infrastructure and MLOps Engineering team, you will be joining the AI/ML and Data Engineering team in CZI Central Tech, with the responsibility for the stability and scalable operations of our leading edge GPU Cloud Compute Cluster. This supports our AI Researchers in their development and training of state-of-the-art models in artificial intelligence and machine learning to solve important problems in the biomedical sciences aligned with CZI’s mission, contributing to greater understanding of human cell function.\nThe Opportunity\n\nAs the Engineering Manager of the AI Infrastructure and MLOps Engineering team, you will be responsible for a variety of MLOps and AI development projects  that empower our AI Researchers and help to accelerate Biomedical research across the whole of the AI lifecycle. You will guide our AI Systems Infrastructure and MLOps efforts focused on our GPU Cloud Cluster operations, ensuring that our systems are highly utilized, performant, and stable. You will be working in collaboration with other members of our own AI Engineering team as well as the Science Initiative’s AI Research team as they iterate and train their deep learning code, optimizing systems operations and in helping to troubleshoot problems encountered by jobs running on the cluster.\nWhat You'll Do\n\n\n* Help to build out the MLOPs and Systems Infrastructure Engineering team, growing the team to support the large scale capacity systems and AI training efforts we will be undertaking.\n\n* Drive our MLOps processes and System Infrastructure Engineering efforts in ensuring that our GPU Cloud computing systems are highly utilized and stable, and proactively guide our team in implementing the instrumentation and observability tooling integral to our AI Platform.\n\n* Own the on-call efforts for our GPU Cloud computing systems, building out the MLOps and Systems Infrastructure Engineering alerting and monitoring efforts for our leading edge Kubernetes based AI platform, including troubleshooting problems encountered on the GPU platform infrastructure and  with  jobs running on the cluster and computing systems.\n\n* Responsibility for a variety of AI/ML development infrastructure, instrumentation, and telemetry projects that empower our team in supporting our users across the  AI/ML lifecycle, taking a key role in simplifying and optimizing the systems and processes that are integral to our GPU Cloud Cluster operations - in an MLOps meets SRE kind of hybrid operations model.\n\n* Mentoring and managing your team in fulfilling their roles to the best of their abilities, provide skill and career coaching to help the team members keep growing along their own career and life paths, and keep the team engaged in meaningful and interesting projects in service of our north star philanthropic mission\n\n\n\nWhat You'll Bring\n\n\n* Hands-on AI/ML Model Training Platform Operations experience in an environment with challenging data and systems platform challenges\n\n* MLOps experience working with medium to large scale GPU clusters in Kubernetes, HPC environments, or large scale Cloud based ML deployments (Kubernetes Preferred)\n\n* BS, MS, or PhD degree in Computer Science or a related technical discipline or equivalent experience\n\n* 2+ years of experience managing MLOps teams\n\n* 7+ years of relevant coding and systems experience\n\n* 7+ years of relevant coding and systems experience\n\n* 7+ years of systems Architecture and Design experience, with a broad range of experience across Data, AI/ML, Core Infrastructure, and Security Engineering\n\n* Strong understanding of scaling containerized applications  on Kubernetes or Mesos, including solid understanding of AI/ML training with containers using secure AMIs and continuous deployment systems that integrate with Kubernetes or Mesos. (Kubernetes preferred)\n\n* Proficiency with Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure, and experience with On-Prem and Colocation Service hosting environments\n\n* Solid coding ability with a systems language such as Rust,C/ C++, C#, Go, Java, or Scala\n\n* Extensive experience with a scripting language such as Python, PHP, or Ruby (Python Preferred)\n\n* Working knowledge of Nvidia CUDA and AI/ML custom libraries. \n\n*  Knowledge of Linux systems optimization and administration\n\n* Understanding of Data Engineering, Data Governance, Data Infrastructure, and AI/ML execution platforms.\n\n* PyTorch, Karas, or Tensorflow  experience a strong nice to have\n\n\n\nCompensation\n\nThe Redwood City, CA base pay range for this role is $214,000 - $321,000. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Pay ranges outside Redwood City are adjusted based on cost of labor in each respective geographical market. Your recruiter can share more about the specific pay range for your location during the hiring process.\nBenefits for the Whole You \n\nWe’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. \n\n\n* CZI provides a generous 100% match on employee 401(k) contributions to support planning for the future. \n\n* Annual funding for employees that can be used most meaningfully for them and their families, such as housing, student loan repayment, childcare, commuter costs, or other life needs.\n\n* CZI Life of Service Gifts are awarded to employees to “live the mission” and support the causes closest to them.\n\n* Paid time off to volunteer at an organization of your choice. \n\n* Funding for select family-forming benefits. \n\n* Relocation support for employees who need assistance moving to the Bay Area\n\n* And more!\n\n\n\nCommitment to Diversity\n\nWe believe that the strongest teams and best thinking are defined by the diversity of voices at the table. We are committed to fair treatment and equal access to opportunity for all CZI team members and to maintaining a workplace where everyone feels welcomed, respected, supported, and valued. Learn about our diversity, equity, and inclusion efforts. \n\nIf you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.\n\nExplore our work modes, benefits, and interview process at www.chanzuckerberg.com/careers.\n\n#LI-Remote #LI-Hybrid #LI-Onsite \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Amazon, Recruiter, Cloud and Ruby jobs that are similar:\n\n $30,000 — $80,000/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\nRedwood City, California, United States

\nHi there! Thanks for stopping by 👋\n\nAre you actively looking for a new opportunity? Or just checking the market? Well… you might just be in the right place!\n\nLightspeed Hospitality makes point of sale solutions for restaurants and cafes around the world. As part of this global team of about 150 people, you will work on our flagship K-Series  product, while keeping the lights on for one of our smaller regional offerings: U/L/G/O-Series.\n\nOur SRE team is responsible for the design, build and operation of Lightspeed’s product infrastructure. We collaborate with teams across the company to make this happen: dev’s, QA, PM’s, architects, IT, Data team, …\nWhat you’ll be responsible for\n\n\nInitiate and contribute to continuous improvement of our software delivery processes and practices in a multi-location, multidisciplinary team to empower and accelerate product development\n\nUse automation extensively to design, configure, manage, and monitor systems in support of our product development teams\n\nDesign and architect operational solutions with the specific goal of increasing the standardization, automation, repeatability, cost-efficiency and consistency of operational tasks\n\nWorking with developers and other SRE to design and build scalable, reliable and cost-efficient Cloud infrastructure\n\nAdhere to and advocate for best practices, including Infrastructure as Code, monitoring, high availability, disaster recovery, security, and DevOps methodologies\n\nProvide timely assistance and remediation solutions during critical situations and production incidents to help resolve service problems (You will be on call for periods of time)\n\n\n\nWhat you’ll be bringing to the team\n\n\nStrong knowledge of Amazon Web Services and/or Google Cloud Platform\n\nStrong experience with Docker, Kubernetes & Linux Systems\n\nExperience with configuration management tools such as Chef, Puppet, Ansible, Salt\n\nExperience with Infrastructure as code practices: we use Terraform\n\nAbility to read & write code: Bash, Python, Ruby, Go, …\n\nGood understanding of Agile development and continuous delivery best practices, software engineering tools, processes, methods and testing\n\nAbility to partner effectively with other teams\n\nAbility to plan, organize, prioritize and stay focused\n\nGood experience provisioning and managing infrastructures with high availability constraints\n\nGood experience with cloud cost optimization\n\n\n\nWho you are\n\n\nYou are a problem solvers who does not shy away from tackling complexity and critical thinking\n\nYou have a strong will to learn, grow and get out of your comfort zone\n\nYou have great energy and passion for technology\n\nYou are able to express yourself flawlessly in English\n\nYou have strong interpersonal skills\n\n\n\nAnd what about the rest?\n\n\nLots of autonomy, flexible work culture and possibility of remote work\n\nDevelopment of high traffic products, used at the global scale \n\nExposure to modern and proven technology\n\nOpportunity to learn and expand your skill set\n\nTons of growth opportunities into technical or people management roles\n\nAmazing benefits & perks, including equity for all Lightspeeders\n\nOpportunity to join a fast-paced, high-growth company\n\nBecome a valued part of the diverse and inclusive Lightspeed family\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, Amazon, DevOps, Cloud, Senior, Linux and Digital Nomad 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\nOttawa, Ontario, Canada

\nAbout the Company\n\nCraft is a supplier intelligence company helping organizations accelerate data-informed business decisions. Our unique, proprietary data platform tracks thousands of real-time signals across millions of companies globally, delivering best in class monitoring and insight into global supply chains, among other company cohorts. Our clients, including Fortune 100 companies, government and military agencies, SMEs, asset management groups, and others, use our technology for supply chain intelligence, market intelligence and related use cases. Through our modular, secure, customizable portal, our clients can monitor any company they are working with and drive critical actions in real-time.\n\nWe are a well-funded technology company with leading investors from Silicon Valley and elsewhere, but are not your typical data or SaaS startup. Our CEO is a seasoned entrepreneur and Juilliard-trained cellist. The Craft team is globally distributed with headquarters in San Francisco and an office in London. We fully support and encourage remote workers, and have team members across North America, Canada, and Europe. We are looking for innovative and driven people who are passionate about building delightful software to join our rapidly growing team!\n\nA Note to Candidates\n\nWe are an equal opportunity employer who values and encourages diversity, equity and belonging at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.\n\nAbout the role:\n\nCraft is growing! And we're looking for a motivated engineer to help us deliver safer software sooner. The ideal candidate is a self-starter, loves their craft, and puts security and ease-of-use at the center of all decision-making.\n\nAs a Sr. DevSecOps Engineer at an earlier-stage startup, you will have an opportunity to make a substantial impact on the maturation of Craft’s Cybersecurity program. You will collaborate on planning, requirements, research, and design of security solutions with the rest of the engineering team.\n\nIn this role you will:\n\n\n* Partner with engineering teams to integrate and automate security at every level of the software development lifecycle.\n\n* Perform threat modeling, risk assessment, and code reviews to assess cybersecurity implications.\n\n* Lead infrastructure best practices on building and securing highly scalable systems.\n\n* Extensively improve the existing secure coding practices, lead threat modeling efforts, and implement secure software lifecycle processes and automation\n\n\n\n\nWhat we’re looking for:\n\n\n* 5+ years of experience in DevOps or DevSecOps, or similar experience (preferably with Linux systems)\n\n* Deep knowledge of Amazon Web Services (AWS) Infrastructure and best practices\n\n* Knowledge of JavaScript, Python, Go, shell scripting (Bash, etc) or other programming language knowledge for writing tools and utilities\n\n* Familiarity with standards such as SOC2, FedRamp, and/or ISO 27001 as it relates to Cloud and Infrastructure is desirable but not required.\n\n\n\n\nWe'd love to hear from you if:\n\n\n* You're a strong team player, a great listener, and able to facilitate discussion and move diverse opinions towards clear decisions\n\n* Have an extreme ownership of your product, and a can-do, get-it-done attitude\n\n* Are detailed-oriented and are always striving to uncover and fix cybersecurity gaps\n\n* Have a "shipping" mentality, and an ability to get things done\n\n* Advocate for modern engineering and cybersecurity best practices\n\n* Show curiosity through asking questions, digging into to new technologies, and always trying to grow\n\n\n\n\nWhat We Offer:\n\n\n* Competitive Salary + Equity at a well-funded, fast-growing startup\n\n* Unlimited Vacation time so you can take what you need, when you need it\n\n* Option to work 100% Remote or out of our San Francisco Office\n\n* 99% Covered Health + Dental + Vision insurance for employees and dependents\n\n* 401K through Human Interest with options to invest how you want it\n\n* $200 Monthly Wellness/Learning stipend (Gym memberships, meals, snacks, books, classes, conferences, etc.)\n\n* $1,000 Workstation Allowance (standing desk, chair, monitor, etc)\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, SaaS, Amazon, DevOps, Cloud, Engineer, Linux and Digital Nomad 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\nSeattle, Washington, United States

\nAbout the Company\n\nCraft is a supplier intelligence company helping organizations accelerate data-informed business decisions. Our unique, proprietary data platform tracks thousands of real-time signals across millions of companies globally, delivering best in class monitoring and insight into global supply chains, among other company cohorts. Our clients, including Fortune 100 companies, government and military agencies, SMEs, asset management groups, and others, use our technology for supply chain intelligence, market intelligence and related use cases. Through our modular, secure, customizable portal, our clients can monitor any company they are working with and drive critical actions in real-time.\n\nWe are a well-funded technology company with leading investors from Silicon Valley and elsewhere, but are not your typical data or SaaS startup. Our CEO is a seasoned entrepreneur and Juilliard-trained cellist. The Craft team is globally distributed with headquarters in San Francisco and an office in London. We fully support and encourage remote workers, and have team members across North America, Canada, and Europe. We are looking for innovative and driven people who are passionate about building delightful software to join our rapidly growing team!\n\nA Note to Candidates\n\nWe are an equal opportunity employer who values and encourages diversity, equity and belonging at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.\n\nAbout the role:\n\nCraft is growing! And we're looking for a motivated engineer to help us deliver safer software sooner. The ideal candidate is a self-starter, loves their craft, and puts security and ease-of-use at the center of all decision-making.\n\nAs a Sr. DevSecOps Engineer at an earlier-stage startup, you will have an opportunity to make a substantial impact on the maturation of Craft’s Cybersecurity program. You will collaborate on planning, requirements, research, and design of security solutions with the rest of the engineering team.\n\nIn this role you will:\n\n\n* Partner with engineering teams to integrate and automate security at every level of the software development lifecycle.\n\n* Perform threat modeling, risk assessment, and code reviews to assess cybersecurity implications.\n\n* Lead infrastructure best practices on building and securing highly scalable systems.\n\n* Extensively improve the existing secure coding practices, lead threat modeling efforts, and implement secure software lifecycle processes and automation\n\n\n\n\nWhat we’re looking for:\n\n\n* 5+ years of experience in DevOps or DevSecOps, or similar experience (preferably with Linux systems)\n\n* Deep knowledge of Amazon Web Services (AWS) Infrastructure and best practices\n\n* Knowledge of JavaScript, Python, Go, shell scripting (Bash, etc) or other programming language knowledge for writing tools and utilities\n\n* Familiarity with standards such as SOC2, FedRamp, and/or ISO 27001 as it relates to Cloud and Infrastructure is desirable but not required.\n\n\n\n\nWe'd love to hear from you if:\n\n\n* You're a strong team player, a great listener, and able to facilitate discussion and move diverse opinions towards clear decisions\n\n* Have an extreme ownership of your product, and a can-do, get-it-done attitude\n\n* Are detailed-oriented and are always striving to uncover and fix cybersecurity gaps\n\n* Have a "shipping" mentality, and an ability to get things done\n\n* Advocate for modern engineering and cybersecurity best practices\n\n* Show curiosity through asking questions, digging into to new technologies, and always trying to grow\n\n\n\n\nWhat We Offer:\n\n\n* Competitive Salary + Equity at a well-funded, fast-growing startup\n\n* Unlimited Vacation time so you can take what you need, when you need it\n\n* Option to work 100% Remote or out of our San Francisco Office\n\n* 99% Covered Health + Dental + Vision insurance for employees and dependents\n\n* 401K through Human Interest with options to invest how you want it\n\n* $200 Monthly Wellness/Learning stipend (Gym memberships, meals, snacks, books, classes, conferences, etc.)\n\n* $1,000 Workstation Allowance (standing desk, chair, monitor, etc)\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, SaaS, Amazon, DevOps, Cloud, Engineer, Linux and Digital Nomad 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\nLos Angeles, California, United States

\nSkilljar is seeking a Senior Infrastructure Engineer to join our fast-growing team. This person will be responsible for designing, implementing, and continuously improving large components of Skilljar’s cloud infrastructure. Secure, stable, and efficient infrastructure empowers our entire engineering team to ensure customer success. This person will play a key role in shaping our infrastructure as we scale.\n\nWe’re looking for someone with a successful track record in the DevOps / Infrastructure space along with strong, empathetic communication skills. This is a great opportunity to join a rapidly accelerating startup that has dozens of Fortune 1000 and mid-market clients on its roster.\nResponsibilities:\n\n\n* Design, implement, and continuously improve Skilljar’s foundational cloud infrastructure and related processes.\n\n* Author design documents for infrastructure changes and developer-facing documentation.\n\n* Provide infrastructure code reviews and feedback on technical designs.\n\n* Collaborate with engineering, leadership, and cross-functional team members to meet business goals.\n\n* Mentor and provide feedback to team members and other engineers.\n\n* Automate manual tasks and reduce technical debt.\n\n* Keep up to date on best practices, new technologies, and relevant industry news.\n\n\n\nRequirements:\n\n\n* At least 5 years of experience working in one of the following (or similar) capacities: DevOps Engineer, Infrastructure Engineer, Site Reliability Engineer (SRE).\n\n* Coding and scripting proficiency with experience in Python, Ruby, Bash, or similar languages.\n\n* Strong written and verbal communication skills with experience working in a collaborative environment.\n\n* Hands-on experience with Amazon Web Services (AWS) including commonly-used compute, database, network, and security services.\n\n* Experience configuring and supporting DevOps systems including CI/CD (Jenkins, Drone, CircleCI, or similar), Logging (ELK: Elasticsearch, Logstash, Kibana), and Observability tooling (New Relic, Datadog, or similar).\n\n* Extensive experience with Infrastructure as Code (IaC): Terraform, Ansible, Chef, or similar configuration management tools.\n\n* Successful history of applying standard methodologies within software engineering including incident response and postmortem / correction of error (CoE) processes.\n\n* Familiarity with Linux system and account administration.\n\n* US work authorization and criminal background check are required.\n\n\n\nOur Benefits:\n\n\n* Comprehensive Medical Coverage: Skilljar pays 100% of our employee premiums for medical, dental, vision, disability, and life insurance. (PTO and family leave)\n\n* Flexible Time Off: We believe in a healthy work/life balance and trust our employees to take the time off they need to bring their A-game to work.\n\n* Benefits Package: Skilljar employees receive a monthly technology reimbursement for remote work, 401K savings plan, stock options, and access to an Employee Assistance Program.\n\n* Inclusive Culture: We are intentional about creating a culture that is fun and inclusive. Join us for Fun Committee events, trivia nights, Bingo, and more!\n\n\n\nThe Company\n\n\n\nBacked by prominent financial institutions, including Mayfield, Shasta Ventures, Trilogy Equity Partners, and Insight Partners, Skilljar is the leading enterprise customer training platform, transforming the way organizations onboard, engage, and retain their customers. Trusted by leading global companies like Slack, Tableau, Liberty Mutual, Cisco, Verizon, and U-Haul, Skilljar provides the essential tools and foundation for successful customer and partner engagement and enablement.\n\nWe are a team of bright, dedicated Skillets with startup drive and a passion for education. Headquartered in Seattle, WA, Skilljar is currently operating remotely, with employees based in Washington, Oregon, California, Colorado, Arizona, and Florida.\n\n\n\n\n \nSkilljar is an Equal Employment Opportunity (EEO) employer and does not discriminate on the basis of race, color, national origin, religion, gender, age, veteran status, political affiliation, sexual orientation, marital status or disability (in compliance with the Americans with Disabilities Act) with respect to employment opportunities.\n \nSkilljar does not accept nor are we responsible for any fees associated with unsolicited resumes, LinkedIn bios, or any other candidate introductions.\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, Developer, Digital Nomad, DevOps, Amazon, Cloud, Medical 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
\n\n#Location\nPhoenix, Arizona, United States