\nAirDNA began with a big dream in a balmy California garage in 2015. Since then, the technology startup has grown into the leading provider of data and business intelligence for the billion-dollar travel and vacation rental industry—with offices in Denver and Barcelona. \n\n\nOur self-serve platform eliminates guesswork and equips Airbnb hosts with smart and competitive insights needed to succeed in the ever-evolving short-term rental landscape. \n\n\nWe also arm enterprise clients with customized reports and in-depth dashboards to ensure they can scale and invest strategically. These customers include hundreds of top financial institutions, real estate companies, vacation rental managers, and destination marketing organizations around the world. \n\n\nWe track the daily performance of over 10 million Airbnb and Vrbo properties across 120,000 global markets. We also collect data from over a million partner properties. This marriage of scraped and source data, enhanced by our proprietary algorithms, makes our solutions the most accurate and comprehensive in the world. \n\n\nWe’re firm believers that data isn’t the destination; it’s the starting point. The launchpad. The bedrock for any future-forward business.\n\n\nThe Role: \n Come join our Platform team and help drive our growth by designing, maintaining, and improving our platform and processes. The ideal person for this role is driven to design robust, scalable, secure infrastructure, cares about the details, and enjoys helping both individual engineers and their teams work more effectively.\n\n\n\nHere's what you'll get to do: \n* Build and maintain monitoring, logging, and telemetry solutions for proactive performance and reliability management (experience with Datadog, Prometheus, Grafana).\n* Evaluate and integrate new technologies to enhance platform capabilities, especially around containers, databases, and cloud-native architectures.\n* Ensure security, compliance, and cost optimization in all platform solutions, utilizing tools like IAM, GuardDuty, and AWS Security Hub.\n* Design, implement, and manage scalable infrastructure solutions using AWS services (EC2, S3, RDS, Lambda, CloudFront, etc.).\n* Manage, scale, and optimize multiple databases (PostgresQL + Druid) to ensure performance, availability, and redundancy.\n* Collaborate with development and operations teams to streamline release processes and integrate best practices for infrastructure as code (Terraform, CloudFormation).\n* Work closely with stakeholders to identify infrastructure needs and lead initiatives to scale the platform in alignment with business goals.\n* Drive continuous improvement in the platform’s architecture and processes, optimizing for performance, reliability, and operational efficiency.\n* Collaborate with cross-functional teams to align platform development with product goals and strategies.\n* Mentor and guide junior team members, providing technical leadership and driving best practices across the platform team.\n\n\n\nHere's what you'll need to be successful: \n* Strong familiarity with Amazon Web Services, multi-account experience preferred.\n* Expertise using Docker and Kubernetes.\n* Experience with developing and maintaining CI/CD pipelines to automate application deployment and infrastructure provisioning.\n* Able to diagnose and troubleshoot problems in a distributed microservice environment.\n* Solid understanding of TCP/IP networking.\n* Expertise with Linux (prefer Ubuntu, Alpine, and/or Amazon Linux).\n* Understanding of DevOps practices.\n* Demonstrated experience in managing or leading platform teams, with the ability to grow the team and develop talent within.\n\n\n\nHere's what would be nice to have:\n* Gitlab pipelines\n* ArgoCD\n* Linkerd, Istio or other service mesh\n* ELK stack or similar logging platforms\n* Ansible or other configuration management tools\n* Cloudformation or other IaC tools\n* JSON/YAML\n* OpenVPN\n* Apache Airflow\n* Databases (postgres and Druid preferred)\n* Cloudflare\n* Atlassian tools such as Jira, Confluence, StatusPage\n* Programming experience: shell scripting, Python, Golang preferred\n* Experience with performance optimization of distributed microservices\n\n\n\nHere's what you can expect from us: \n* Competitive cash compensation and benefits, the salary range for this position is $150,000 - $180,000 per year. \n\nColorado Salary Statement: The salary range displayed in specifically for those potential hired who will work or reside in the state of Colorado if selected for this role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant’s skills and prior relevant experience, certain degrees and certifications. \nBenefits include:\n*  Medical, dental, and vision packages to meet your needs\n* Unlimited vacation policy; take time when you need it \n* Eligible for Company’s annual discretionary bonus program\n* 401K with employer match up to 4%\n* Continuing education stipend\n* 16 weeks of paid parental leave\n* New MacBooks for employees\n\n\nOffice Perks for Denver Based Employees:\n* Commuter/RTD benefit\n* Quarterly team outings\n* In-office lunch Tuesday - Thursday\n* We have a great office located just a few blocks away from Union Station in the heart of Denver’s historic LoDo neighborhood–high ceilings, exposed brick, a fully stocked kitchen (snacks, espresso, etc.), and plenty of meeting rooms and brainstorming nooks\n* Pet-friendly!\n\n\n\n\n\n\nAirDNA seeks to attract the best-qualified candidates who support the mission, vision and values of the company and those who respect and promote excellence through diversity. We are committed to providing equal employment opportunities (EEO) to all employees and applicants without regard to race, color, creed, religion, sex, age, national origin, citizenship, sexual orientation, gender identity and expression, physical or mental disability, marital, familial or parental status, genetic information, military status, veteran status or any other legally protected classification. The company complies with all applicable state and local laws governing nondiscrimination in employment and prohibits unlawful harassment based on any of the aforementioned protected classes at every location in which the company operates. This applies to all terms, conditions and privileges of employment including but not limited to: hiring, assessments, probation, placement, benefits, promotion, demotion, termination, layoff, recall, transfer, leave of absence, compensation, training and development, social and recreational programs, education assistance and retirement. \n\n\nWe are committed to making our application process and workplace accessible for individuals with disabilities. Upon request, AirDNA will reasonably accommodate applicants so they can participate in the application process unless doing so would create an undue hardship to AirDNA or a threat to these individuals, others in the workplace or the company as a whole. To request accommodation, please email [email protected]. Please allow for 24 hours to process your request. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Amazon, Docker, DevOps, Education, Senior, Marketing, Golang and Engineer jobs that are similar:\n\n $50,000 — $100,000/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\nRemote

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

\nIf you are a passionate engineering leader who thrives in a fast-paced, high impact and high growth environment, please read on! We are looking for a DevOps Engineer, SRE to lead a dynamic team of SRE Engineers whose mission is to continuously improve our development operations and support the reliability and availability of all our applications and services deployed to the cloud.  \n\n\nWhat you get to do:\n\n\nPartner with various engineering teams to own and manage availability, latency, performance, reliability and scalability of all services to maintain SLAs that our customers expect from us\n\nProvide strong technical leadership and people management to the team\n\nAct as a SME and demonstrate end-to-end ownership of SRE function with automation-first mindset\n\nCollaborate with Engineering Managers, Product Managers, Software Engineers across the organization to deliver a comprehensive solution for SRE discipline and set effective SLOs/SLIs and error budgets for all services\n\nDefine well-defined processes, methodologies, metrics and KPIs to drive accountability\n\nOwn and drive cloud cost management, capacity planning and performance management and partner with engineering leaders to optimize for performance and cost\n\nDrive instrumentation of services for end-to-end Observability - Monitoring, Alerting, Metrics, Logging and Dashboard\n\nOwn and drive incident management process, conduct blameless post mortems and publish incident reports, maintain runbooks and on-call schedules\n\nCoordinate with product development engineering teams on change management and release management processes\n\nBe an evangelist for SRE best practices\n\nChampion and implement strong DevSecOps principles and SDLC best practices\n\nCoach, mentor and cross-train team members\n\nServant leadership and Agile DNA\n\n\n\n\nWhat you bring to the role:\n\n\n10+ years of professional software engineering experience\n\n5+ years of building and managing technical engineering teams in SRE, DevOps or other related domains\n\nExperience supporting infrastructure and services in public cloud environments; AWS required\n\nExperience leading SRE team with strong emphasis on automation and continuous improvement\n\nHands-on experience in developing applications in one or more language stacks: Java, Python, Ruby, Javascript, Go, etc.\n\nStrong hands-on knowledge of one or more of Infrastructure-as-Code tools and technologies: Terraform, AWS CloudFormation, Packer, etc.\n\nStrong knowledge of network engineering and foundational network protocols and services such as TCP/IP, HTTP, DHCP, DNS, VPN, etc.\n\nExperience with Agile software development and Scrum methodology \n\nGreat communication, collaboration and presentation skills\n\nStrong problem solving and analytical skills\n\n\n\n\nPreferred Qualifications:\n\n\nAWS certification\n\nExpertise in Linux systems\n\nExperience building and managing fault tolerant large scale distributed systems\n\nStrong hands-on experience in one or more of Containers and Container Orchestration frameworks: Docker, Kubernetes, Amazon ECS, Amazon EKS, Amazon Fargate, etc.\n\nExperience with CI/CD, DevOps and Pipeline-As-Code: ArgoCD, Jenkins, Spinnaker, Gitlab CI/CD, etc.\n\nExperience with Microservices architecture and CNCF ecosystem\n\nBachelor’s or Master’s Degree in Computer Science, Engineering or related discipline\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 Amazon, Scrum, DevOps, Cloud, Senior, Engineer 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\nToronto, Ontario, Canada

\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 Us:\n\nBlackSky is a geospatial intelligence solutions provider that enables organizations to task, collect, and transform data from earth observation, global sensor networks, mobile devices, and social media to deliver on-demand insights about places, events, and assets that are critical to their operations. BlackSky provides satellite collection, data, and cloud-based processing and analytic solutions to organizations that are capitalizing on the exponential growth of a wide range of sensor and collection platforms for delivering the next generation of geo-intelligence and location intelligence solutions. BlackSky has extensive expertise and capabilities in commercial remote sensing, multi-source analytics, cloud computing, open source software development, Amazon Web Services, and big data geospatial analytics. BlackSky is operating and deploying a constellation of high-resolution imaging spacecraft to image the planet in near real time.\n\nResponsibilities:\n\n\n* Familiarity with licensed and open-source dynamic, static, and interactive code analysis security testing tools\n\n* Experience coordinating and performing vulnerability assessments using automated and manual tools\n\n* Familiarity with API Security, Container Security, AWS Cloud Security\n\n* Knowledge of DISA STIGs, NIST 800-53, NIST 800-171, and DoD RMF\n\n* Experience using Vulnerator and STIG Viewer tools\n\n* Experience developing Plan of Action & Milestone (POA&M) documentation\n\n* Familiarity with Amazon AWS Policy, Configuration, and Security Management tools.\n\n* Experience with security automation and machine learning.\n\n* Ability to review and analyze vulnerability data to identify security risks to the organization's network, infrastructure, and application's and determine any reported vulnerabilities that are false positives.\n\n* Capability to prepare security vulnerability and risk management reports for management.\n\n* Experience working with Developers, DevOps, and Engineering teams in a dynamic environment to promote/implement the DevSecOps program throughout the organization.\n\n* Comprehension in the security areas of Key Management Systems, Certificate Management, Encryption, Penetration Testing, Vulnerability Scanning, Security and Monitoring tools, etc.\n\n* Experience configuring, implementing, and leveraging computer security and networking diagnostic/monitoring tools.\n\n* Knowledge of Windows and Linux patch management and related information security functions (authentication, encryption, iptables, SSL, Ciphers, etc.)\n\n* Ability to work with APIs and Plugins to integrate security tools into established CI/CD pipelines.\n\n\n\n\n \n\nQualifications:\n\n\n* 3+ years’ experience performing application security activities\n\n* 5+ years’ experience in cybersecurity\n\n* Desired Security Certifications: Certified Information Systems Security Professional (CISSP) and/or Certified Secure Software Lifecycle Professional (CSSLP)\n\n\n\n\n \n\nDesired Skills:\n\n\n* Experience with Windows and Linux environments\n\n* Strong experience using HP Fortify\n\n* Experience using other SAST and DAST tools (e.g., Defect Dojo, Coverity, Veracode, Checkmarx, and Netsparker)\n\n* Experience using Tenable Nessus and NMAP\n\n* Cloud Solutions: AWS Commercial, AWS GovCloud, VMware ESXi\n\n* Infrastructure as Code: AWS CloudFormation, HashiCorp Terraform\n\n* Coding & Scripting: Python, Java, JavaScript, BASH, PowerShell\n\n* Container Technologies: Docker, ECS, Nomad, HashiCorp product stack\n\n\n\n\n \n\n\n BlackSky is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer All Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity, disability, protected veteran status or any other characteristic protected by law.\n\nEEO/AAP/ Pay Transparency Statements: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf\nhttps://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to InfoSec, Engineer, Amazon, Cloud, API, Mobile 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\nHerndon, Virginia, United States

Overview\nAzavea is a civic technology firm based in Philadelphia that uses geospatial data to build software and data analytics for the web. As a B Corporation, our mission is to use advanced geospatial technology for positive civic, social, and environmental impact. Most of our work deals with local governments, non-profit organizations, and academic or federal research projects. We build custom web applications, perform geospatial analysis, and contribute to open-source projects. Our engineers work across the technology stack, from modern browser-based front-ends to robust service-based backends residing on scalable infrastructure. Find out more about careers at Azavea here.\n\nWe are looking for a Software Engineer at the Engineer II or III level (mid-level) who is passionate about building applications that will have a positive impact. \n\n-At the Engineer II level, an individual will take on tasks of increasing complexity without sacrificing efficiency or quality, demonstrate understanding of how their work fits into the bigger picture, exhibit a growth mindset by being responsive to feedback, and will be capable of leading features or projects. \n-At the Engineer III level, an individual will demonstrate expert competency within their primary area of expertise; own large, cross-cutting features or entire projects with minimal oversight; build relationships with and consensus amongst various stakeholders; and clearly communicate complex technical concepts to a wide range of audiences. \n\nIdeal candidates are interested in public service, but not necessarily in working for a government or a non-profit organization. We are interested in hiring someone located in Philadelphia or in the Philadelphia metro region to facilitate some amount of in-person work from our office, although we are very flexible about working from home. Compensation aligns with the Philadelphia metro region. We’re excited about what we do, we’re growing, and we hope you will join us.\n\nSkills & Requirements\nAs a Software Engineer on the Geospatial Applications team, you’ll be working alongside other engineers, project managers, and user experience designers to develop custom web software for our clients. Lately, we’ve been developing tools to conduct remote street tree inventories and doing a fair bit of work in the civic space. Our team maintains DistrictBuilder, an open-source, collaborative redistricting tool that will support redistricting using 2020 Census data, and the Cicero API, an Azavea product that provides access to a comprehensive database of elected officials and legislative districts.\n\nOur applications are mostly written in JavaScript or TypeScript (React, Angular) and Python (Django), but we use many other technologies from time to time. Almost all of our work revolves around maps and geospatial data. If you haven’t worked with geospatial technology before, don’t worry—many of our colleagues hadn’t when they joined us.\n\nYou’ll notice that we don’t cite N years of experience or a Computer Science degree as requirements. Formal credentials like these are valuable, but we are primarily looking for people who have gained experience successfully building web applications that have seen real-world use. If you think this description fits you, even if your experience doesn't match up perfectly with the technologies we've listed, we encourage you to apply. We do not use automated resume screening technology, and our employees review all applications that we receive.\n\nA note on hiring during the COVID-19 pandemic \nThe majority of our colleagues have historically worked out of our Philadelphia office, but during the pandemic we transitioned the entire company to remote work. While many of our colleagues are continuing to work remotely for the time being, the office is now open and we can accommodate either in-person or remote interviews depending on the health and safety concerns of you and our team. We have made arrangements for remote onboarding, including shipping relevant materials and a laptop to your home. We are fortunate to have invested in meaningful work-from-home tools and processes over the years and have been able to continue providing a secure, flexible, and safe work environment for all of our colleagues. We ask for your patience as we adapt our hiring process as well, and are happy to answer any questions or concerns about the process.\n\nOffice and Benefits\nOur Philadelphia headquarters is located in a brightly lit office on the 5th floor of a converted factory building in the Callowhill neighborhood, a short walk from Center City, the Reading Terminal Market, and SEPTA subway and regional rail stations. For bicyclists, we have in-house bike parking, showers, and lockers. The office itself is arranged as an open office plan with many smaller rooms for team meetings and concentration time. You get your own desk with a high-end Linux workstation or Apple laptop and extra monitors. We have flex-time to deal with personal stuff, and most people work a 40 - 45 hour week on a regular schedule. After the first six months, our staff can also spend up to 10% of their time on an open source, professional development, or R&D project. Recent 10% time projects include experiments with machine learning, React Native, and various forms of serverless processing with Amazon Lambda.\n\nWe offer a salary commensurate with skills and experience. Azavea's starting salaries for Software Engineer II and III range from $80,000-$108,000. We are also open to hiring a senior engineer. If hired as a Senior Software Engineer we anticipate a salary in the $108,000-$120,000 range. Our benefits package includes:\n- Fully subsidized health care, dental care, prescription plan, including for spouse/partner and children\n- Fully subsidized life and long-term disability insurance, plus voluntary short-term disability insurance\n- Medical reimbursement plan to cover what the health insurance does not\n- Retirement plan with matching percentage\n- Almost 4 weeks paid vacation plus additional paid sick/personal time off\n- Family and medical leave\n- Flexible work schedule\n- Paid maternity and paternity leave\n- Child care subsidy\n- Paid time off for voting and volunteering\n- Education assistance plan\n- Student loan assistance\n- Public transit and biking reimbursement plans\n- Monthly guest lectures with lunches on the company\n- 10% time for research or learning projects\n- Profit-sharing bonus plan\n- Financial transparency through an open book policy\n- Kind, capable and thoughtful colleagues\n\nWe welcome qualified candidates from all walks of life and value diversity in our company. We prohibit discrimination based on race, color, religion, ancestry, national origin, sex, sexual orientation, gender identity or expression, age, veteran status, military service, disability unrelated to job requirements, marital status, or domestic partner status.\n\n\nThe deadline for this application is September 3, 2021. \n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Engineer, Developer, Digital Nomad, React, JavaScript, Amazon, Education, Serverless, Python, Senior, 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\nPhiladelphia, PA (option for partial remote)