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๐ŸŒŽ Distributed team
โฐ Async
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Sysdig


๐Ÿ’ฐ $45k - $90k*

Security

 

Technical

Code

Cloud

Microsoft

Management

Lead

Senior

Reliability

Engineer

Engineering

Sysdig

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๐Ÿ‘€ 1,628 views

โœ… 33 applied (2%)

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Sysdig is hiring a

Remote Senior Customer Reliability Engineer

\nIn the cloud, every second counts. On the leading edge of security, Sysdig stops attacks in real-time by instantly detecting changes in cloud security risk with runtime insights and open source Falco. We are passionate open source enthusiasts at heart and problem-solvers who are building and delivering powerful solutions to secure cloud-native applications.\n\n\nWe value diverse opinions and open dialogue to spur ideas. We believe in working together to achieve our goals and we pride ourselves on a flexible work culture. We're an international company that understands how to cultivate an inclusive environment across remote teams.\n\n\nAnd we're a great place to work too โ€“ we've been named a "Best Place to Work" by Inc.,the San Francisco Business Times and the Silicon Valley Business Journal, and we won six workplace awards from Comparably this year. We have been recognized by Deloitte as one of the 500 fastest-growing organizations for the last four years.\n\n\nWe are looking for driven team members who want to join us on our mission to lead cloud security globally. Does this sound like the right place for you?\n\n\n\nWhat you will do\n* Reporting to the Sr. Director, APAC Customer Reliability Engineering, you will serve as a client-facing, problem-solving engineer to support and resolve technical issues for our highest-valued customers.\n* You will provide incident management and customer problem resolution as an integral member of the technical support team.\n* You will document issues, debug complex problems, and collaborate with Engineering to provide solutions.\n* You will help with the development of internal and customer-facing knowledge and documentation.\n\n\n\nWhat you will bring with you\n* Minimum of five years experience as a technical support/escalation resource for enterprises in a similar or related field (container management, cloud management, systems management, PaaS).\n* Knowledge of cloud infrastructures such as Amazon AWS, Google Cloud, Microsoft Azure, and container technologies like Docker, Kubernetes, and Openshift.\n* Hands-on Linux experience.\n* Knowledge of infrastructure as code (IaC) tools like Terraform and AWS CloudFormation.\n* Knowledge of one or more scripting languages (Bash/Shell/Python, etc) and other tools/platforms such as Cassandra, Elasticsearch, and/or Kafka.\n\n\n\nWhat we look for\n* Experience working in a cybersecurity role within Cloud Ecosystems, in post-sales technical support/escalations, or related fields.\n* Ability to manage multiple customer issues simultaneously.\n* Hands on technologists dedicated to continued learning.\n* Fluency in both Japanese and English.\n\n\n\nWhy work at Sysdig?\n* We're a well funded startup that already has a large enterprise customer base\n* We have an organizational focus on delivering value to customers\n* Our open source tools are widely used and loved by technologists & developers\n\n\n\nWhen you join Sysdig, you can expect:\n* Great compensation package, including equity opportunities\n* An international culture with employees in more than 40 countries\n* Flexible work arrangement\n* Mental well-being support for you and your family and company-wide wellness days\n* Development opportunities\n\n\n\n\n\n\nWe would love for you to join us! Please reach out even if your experience doesn't perfectly match the job description. We can always explore other options after starting the conversation. Your background and passion will set you apart, especially if your career path is different.\n\n\nSome of our Hiring Managers are globally distributed, an English version of your CV will be appreciated.\n\n\nSysdig values a diverse workplace and encourages women, people of color, LGBTQIA+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply. Sysdig is an equal-opportunity employer. Sysdig does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, or any other legally protected status.\n\n\n#LI- MC1\n#LI-Hybrid \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Amazon, Cloud, Senior and Engineer jobs that are similar:\n\n $45,000 — $90,000/year\n
\n\n#Benefits\n ๐Ÿ’ฐ 401(k)\n\n๐ŸŒŽ Distributed team\n\nโฐ Async\n\n๐Ÿค“ Vision insurance\n\n๐Ÿฆท Dental insurance\n\n๐Ÿš‘ Medical insurance\n\n๐Ÿ– Unlimited vacation\n\n๐Ÿ– Paid time off\n\n๐Ÿ“† 4 day workweek\n\n๐Ÿ’ฐ 401k matching\n\n๐Ÿ” Company retreats\n\n๐Ÿฌ Coworking budget\n\n๐Ÿ“š Learning budget\n\n๐Ÿ’ช Free gym membership\n\n๐Ÿง˜ Mental wellness budget\n\n๐Ÿ–ฅ Home office budget\n\n๐Ÿฅง Pay in crypto\n\n๐Ÿฅธ Pseudonymous\n\n๐Ÿ’ฐ Profit sharing\n\n๐Ÿ’ฐ Equity compensation\n\nโฌœ๏ธ No whiteboard interview\n\n๐Ÿ‘€ No monitoring system\n\n๐Ÿšซ No politics at work\n\n๐ŸŽ… We hire old (and young)\n\n
\n\n#Location\nFlexible - Japan
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AirDNA


๐ŸŒ Worldwide
๐Ÿ’ฐ $50k - $100k*

Design

 

Security

Training

Docker

Technical

Growth

Code

Web

Travel

DevOps

Financial

Edu

Management

Lead

Senior

Junior

Operations

Operational

Marketing

Reliability

Golang

Engineer

AirDNA

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๐Ÿ‘€ 2,855 views

โœ… 150 applied (5%)

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AirDNA is hiring a

Remote Senior Platform Engineer

\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 industryโ€”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\nWeโ€™re firm believers that data isnโ€™t the destination; itโ€™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 platformโ€™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, applicantโ€™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 Companyโ€™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 Denverโ€™s historic LoDo neighborhoodโ€“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 ๐Ÿ’ฐ 401(k)\n\n๐ŸŒŽ Distributed team\n\nโฐ Async\n\n๐Ÿค“ Vision insurance\n\n๐Ÿฆท Dental insurance\n\n๐Ÿš‘ Medical insurance\n\n๐Ÿ– Unlimited vacation\n\n๐Ÿ– Paid time off\n\n๐Ÿ“† 4 day workweek\n\n๐Ÿ’ฐ 401k matching\n\n๐Ÿ” Company retreats\n\n๐Ÿฌ Coworking budget\n\n๐Ÿ“š Learning budget\n\n๐Ÿ’ช Free gym membership\n\n๐Ÿง˜ Mental wellness budget\n\n๐Ÿ–ฅ Home office budget\n\n๐Ÿฅง Pay in crypto\n\n๐Ÿฅธ Pseudonymous\n\n๐Ÿ’ฐ Profit sharing\n\n๐Ÿ’ฐ Equity compensation\n\nโฌœ๏ธ No whiteboard interview\n\n๐Ÿ‘€ No monitoring system\n\n๐Ÿšซ No politics at work\n\n๐ŸŽ… We hire old (and young)\n\n
\n\n#Location\nRemote
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Chan Zuckerberg Initiative is hiring a

Remote Senior AI Infra Engineer AI ML and Data Infrastructure

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\nWeโ€™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 โ€œlive the missionโ€ 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 youโ€™re interested in a role but your previous experience doesnโ€™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 ๐Ÿ’ฐ 401(k)\n\n๐ŸŒŽ Distributed team\n\nโฐ Async\n\n๐Ÿค“ Vision insurance\n\n๐Ÿฆท Dental insurance\n\n๐Ÿš‘ Medical insurance\n\n๐Ÿ– Unlimited vacation\n\n๐Ÿ– Paid time off\n\n๐Ÿ“† 4 day workweek\n\n๐Ÿ’ฐ 401k matching\n\n๐Ÿ” Company retreats\n\n๐Ÿฌ Coworking budget\n\n๐Ÿ“š Learning budget\n\n๐Ÿ’ช Free gym membership\n\n๐Ÿง˜ Mental wellness budget\n\n๐Ÿ–ฅ Home office budget\n\n๐Ÿฅง Pay in crypto\n\n๐Ÿฅธ Pseudonymous\n\n๐Ÿ’ฐ Profit sharing\n\n๐Ÿ’ฐ Equity compensation\n\nโฌœ๏ธ No whiteboard interview\n\n๐Ÿ‘€ No monitoring system\n\n๐Ÿšซ No politics at work\n\n๐ŸŽ… We hire old (and young)\n\n
\n\n#Location\nRedwood City, California, United States
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When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.


Chan Zuckerberg Initiative


๐Ÿ’ฐ $30k - $80k*

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๐Ÿ‘€ 663 views

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Chan Zuckerberg Initiative is hiring a

Remote Manager AI System Infrastructure and MLOps Engineering

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 CZIโ€™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 Initiativeโ€™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\nWeโ€™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 โ€œlive the missionโ€ 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 youโ€™re interested in a role but your previous experience doesnโ€™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 ๐Ÿ’ฐ 401(k)\n\n๐ŸŒŽ Distributed team\n\nโฐ Async\n\n๐Ÿค“ Vision insurance\n\n๐Ÿฆท Dental insurance\n\n๐Ÿš‘ Medical insurance\n\n๐Ÿ– Unlimited vacation\n\n๐Ÿ– Paid time off\n\n๐Ÿ“† 4 day workweek\n\n๐Ÿ’ฐ 401k matching\n\n๐Ÿ” Company retreats\n\n๐Ÿฌ Coworking budget\n\n๐Ÿ“š Learning budget\n\n๐Ÿ’ช Free gym membership\n\n๐Ÿง˜ Mental wellness budget\n\n๐Ÿ–ฅ Home office budget\n\n๐Ÿฅง Pay in crypto\n\n๐Ÿฅธ Pseudonymous\n\n๐Ÿ’ฐ Profit sharing\n\n๐Ÿ’ฐ Equity compensation\n\nโฌœ๏ธ No whiteboard interview\n\n๐Ÿ‘€ No monitoring system\n\n๐Ÿšซ No politics at work\n\n๐ŸŽ… We hire old (and young)\n\n
\n\n#Location\nRedwood City, California, United States
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When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.


Chan Zuckerberg Initiative


๐Ÿ’ฐ $30k - $80k*

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Manager

 

Design

Security

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Web

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Chan Zuckerberg Initiative

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โœ… 9 applied (1%)

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Chan Zuckerberg Initiative is hiring a

Remote Manager AI System Infrastructure and MLOps Engineering

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 CZIโ€™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 Initiativeโ€™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\nWeโ€™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 โ€œlive the missionโ€ 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 youโ€™re interested in a role but your previous experience doesnโ€™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 ๐Ÿ’ฐ 401(k)\n\n๐ŸŒŽ Distributed team\n\nโฐ Async\n\n๐Ÿค“ Vision insurance\n\n๐Ÿฆท Dental insurance\n\n๐Ÿš‘ Medical insurance\n\n๐Ÿ– Unlimited vacation\n\n๐Ÿ– Paid time off\n\n๐Ÿ“† 4 day workweek\n\n๐Ÿ’ฐ 401k matching\n\n๐Ÿ” Company retreats\n\n๐Ÿฌ Coworking budget\n\n๐Ÿ“š Learning budget\n\n๐Ÿ’ช Free gym membership\n\n๐Ÿง˜ Mental wellness budget\n\n๐Ÿ–ฅ Home office budget\n\n๐Ÿฅง Pay in crypto\n\n๐Ÿฅธ Pseudonymous\n\n๐Ÿ’ฐ Profit sharing\n\n๐Ÿ’ฐ Equity compensation\n\nโฌœ๏ธ No whiteboard interview\n\n๐Ÿ‘€ No monitoring system\n\n๐Ÿšซ No politics at work\n\n๐ŸŽ… We hire old (and young)\n\n
\n\n#Location\nRedwood City, California, United States
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When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.


Tenstorrent


๐ŸŒ Probably worldwide
๐Ÿ’ฐ $60k - $90k*

Security

 

Technical

Edu

Ruby

Administrator

Management

Lead

Tenstorrent is hiring a

Remote IT Systems & Support Administrator

\nTenstorrent is growing and we are looking for an IT Systems & Support Administrator for our Bangalore office. You will be our Bangalore IT Lead to support daily activities and work on cross site projects.\n\nThis role is on-site based in Bangalore, Karnataka, India.\n\n \n\nResponsibilities:\n\n\n* Deployment, maintenance, support and monitoring of our infrastructure in the Bangalore office\n\n* Act as sole onsite IT presence, therefore support and troubleshoot local technical issues from laptops to AV equipment\n\n* Administration (of local and in part) of entire network- wide CentOS and Ubuntu Linux systems; systems security tasks including security scanning, patching and systems hardening\n\n* Configure, add and maintain laptop, server, and network inventory including: firewall, Switches, and WiFi access points\n\n* Partner with teammates ship across sites on various IT projects\n\n* Onboarding of new employees at the Bangalore office by deploying necessary hardware and provisioning accounts\n\n* Other task and duties as determined from time to time\n\n* This role will have a physical as well as remote administration and support aspects\n\n\n\n\n \n\nExperience & Qualifications:\n\n\n* Degree/diploma in Computer Science or demonstrated combination of education and experience\n\n* 2+ years of Systems Administration experience in a small to mid-size company using Linux (CentOS/Redhat/Ubuntu)\n\n* Linux+ certification\n\n* 2+ years of installation and maintenance of enterprise level hardware, small deployments count provided its standard equipment\n\n* 1+ years of experience with Network management, both physical infrastructure cabling and switches/firewall\n\n* Experience with Veeam Back-ups or similar tools, managing backup & restoration implementation and testing\n\n* Proficient with SNMP/Nagios/Managed Engine based Monitoring, ElasticSearch, Jamf and Grafana\n\n* Worked with firewalls (Fortinet) and Linux based firewall (IPTABLES/IPCHAINS)\n\n* Strong documentation abilities necessary to ensure timely problem resolution\n\n* Experience with container orchestration systems (such as Kubernetes, Docker, Amazon ECS, EKS, Rancher)\n\n* Skilled at managing cloud-based environments in AWS and Azure\n\n* Proven ability to work autonomously with limited direction and oversight\n\n\n\n\nPreferred Qualifications:\n\n\n* Network Administration with CCNA certification\n\n* Administration experience with Office 365, and Google Workspace\n\n* Strong technical problem-solving skills and experience in IP networking and static routing FTP, SSH, SMTP, DNS, HTTP/S, DHCP\n\n* Python and other scripting languages such as bash, Ruby etc\n\n* Intermediate knowledge of TCP/IP including the usage of stateful and stateless firewalls, access control lists, packet capture and logging, network design, Subnetting, IP routing, IPSEC virtual private networks, and intrusion detection and prevention\n\n* Experience with automation/configuration management tools using Ansible, Chef or an equivalent\n\n* Mac support and experience with Jamf is preferable\n\n\n\n\nTenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.\n\nDue to U.S. Export Control laws and regulations, Tenstorrent is required to ensure compliance with licensing regulations when transferring technology to nationals of certain countries that have been licensing conditions set  by the U.S. government.\n\nAs this position will have direct and/or indirect access to information, systems, or technologies that are subject toโ€ฏU.S. Export Control laws and regulations, please note that citizenship/permanent residency, asylee and refugee informationโ€ฏand supporting documentation will be required and considered as a condition of employment.\n\nIf a U.S. export license is required, employment will not begin until a license with acceptable conditions is granted by the U.S. government.  If a U.S. export license with acceptable conditions is not granted by the U.S. government, then the offer of employment will be rescinded. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Education, Ruby and Linux jobs that are similar:\n\n $60,000 — $90,000/year\n
\n\n#Benefits\n ๐Ÿ’ฐ 401(k)\n\n๐ŸŒŽ Distributed team\n\nโฐ Async\n\n๐Ÿค“ Vision insurance\n\n๐Ÿฆท Dental insurance\n\n๐Ÿš‘ Medical insurance\n\n๐Ÿ– Unlimited vacation\n\n๐Ÿ– Paid time off\n\n๐Ÿ“† 4 day workweek\n\n๐Ÿ’ฐ 401k matching\n\n๐Ÿ” Company retreats\n\n๐Ÿฌ Coworking budget\n\n๐Ÿ“š Learning budget\n\n๐Ÿ’ช Free gym membership\n\n๐Ÿง˜ Mental wellness budget\n\n๐Ÿ–ฅ Home office budget\n\n๐Ÿฅง Pay in crypto\n\n๐Ÿฅธ Pseudonymous\n\n๐Ÿ’ฐ Profit sharing\n\n๐Ÿ’ฐ Equity compensation\n\nโฌœ๏ธ No whiteboard interview\n\n๐Ÿ‘€ No monitoring system\n\n๐Ÿšซ No politics at work\n\n๐ŸŽ… We hire old (and young)\n\n
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๐Ÿ‘‰ Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!

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


Spotter


๐Ÿ’ฐ $50k - $80k*

System

 

Security

Docker

Technical

Software

Testing

Code

Web

Scrum

Voice

Quality Assurance

DevOps

Lambda

Cloud

Ads

Senior

Analytics

Reliability

Engineer

Engineering

Spotter

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๐Ÿ‘€ 2,463 views

โœ… 177 applied (7%)

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Spotter is hiring a

Remote Senior AWS Cloud Engineer

\nWhat Youโ€™ll Do:\n\nWeโ€™re looking for a talented and intensely curious Senior AWS Cloud Engineer who is nimble and focused with a startup mentality.  In this newly created role you will be the liaison between data engineers, data scientists and analytics engineers.  You will work to create cutting-edge architecture that provides the increased performance, scalability and concurrency for Data Science and Analytics workflows.\n\n Responsibilities\n\n\n* Provide AWS Infrastructure support and Systems Administration in support of new and existing products implemented thru: IAM, EC2, S3, AWS Networking (VPC, IGW, NGW, ALB, NLB, etc.), Terraform, Cloud Formation templates and Security: Security Groups, Guard Duty, Cloud Trail, Config and WAF.\n\n* Monitor and maintain production, development, and QA cloud infrastructure resources for compliance with all Six Pillars of AWS Well-Architected Framework - including Security Pilar.\n\n* Develop and maintain Continuous Integration (CI) and Continuous Deployment (CD) pipelines needed to automate testing and deployment of all production software components as part of a fast-paced, agile Engineering team. Technologies required: ElastiCache, Bitbucket Pipelines, Github, Docker Compose, Kubernetes, Amazon Elastic Kubernetes Service (EKS), Amazon Elastic Container Service (ECS) and Linux based server instances.\n\n* Develop and maintain Infrastructure as Code (IaC) services for creation of ephemeral cloud-native infrastructure hosted on Amazon Web Services (AWS) and Google Cloud Platform (GCP). Technologies required: AWS AWS Cloud Formation, Google Cloud Deployment Manager, AWS SSM, YAML, JSON, Python.\n\n* Manage, maintain, and monitor all cloud-based infrastructure hosted on Amazon Web Services (AWS) needed to ensure 99.99% uptime. Technologies required: AWS IAM, AWS Cloud Watch, AWS Event Bridge, AWS SSM, AWS SQS, AWS SNS, AWS Lambda and Step Functions, Python, Java, RDS Postgres, RDS MySQL, AWS S3, Docker, AWS Elasticsearch, Kibana, AWS Amplify.\n\n* Manage, maintain, and monitor all cloud-based infrastructure hosted on Amazon Web Services (AWS) needed to ensure 100% cybersecurity compliance and surveillance. Technologies required: AWS SSM, YAML, JSON, Python, RDS Postgres, Tenable, CrowdStrike EPP, Sophos EPP, Wiz CSPM, Linux Bash scripts.\n\n* Design and code technical solutions that improve the scalability, performance, and reliability of all Data Acquisition pipelines. Technologies required: Google ADs APIs, Youtube Data APIs, Python, Java, AWS Glue, AWS S3, AWS SNS, AWS SQS, AWS KMS, AWS RDS Postgres, AWS RDS MySQL, AWS Redshift.\n\n* Monitor and remediate server and application security events as reported by CrowdStrike EPP, Tenable, WIZ CSPM, Invicti\n\n\n\n\nWho you are:\n\n\n* Minimum of 5 years of System Administration or Devops Engineering experience on AWS\n\n* Track record of success in System Administration, including System Design, Configuration, Maintenance, and Upgrades\n\n* Excels in architecting, designing, developing, and implementing cloud native AWS platforms and services.\n\n* Knowledgeable in managing cloud infrastructure in a production environment to ensure high availability and reliability.\n\n* Proficient in automating system deployment, operation, and maintenance using Infrastructure as Code - Ansible, Terraform, CloudFormation, and other common DevOps tools and scripting.\n\n* Experienced with Agile processes in a structured setting required; Scrum and/or Kanban.\n\n* Security and compliance standards experience such as PCI and SOC as well as data privacy and protection standards, a big plus.\n\n* Experienced in implementing Dashboards and data for decision-making related to team and system performance, rely heavily on telemetry and monitoring.\n\n* Exceptional analytical capabilities.\n\n* Strong communication skills and ability to effectively interact with Engineering and Business Stakeholders.\n\n\n\n\nPreferred Qualifications:\n\n\n*   Bachelor's degree in technology, engineering, or related field\n\n*   AWS Certifications โ€“ Solutions Architect, DevOps Engineer etc.\n\n\n\n\nWhy Spotter:\n\n\n* Medical and vision insurance covered up to 100%\n\n* Dental insurance\n\n* 401(k) matching\n\n* Stock options\n\n* Complimentary gym access\n\n* Autonomy and upward mobility\n\n* Diverse, equitable, and inclusive culture, where your voice matters\n\n\n\n\nIn compliance with local law, we are disclosing the compensation, or a range thereof, for roles that will be performed in Culver City. Actual salaries will vary and may be above or below the range based on various factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the current pay range is: $100-$500K salary per year. The range listed is just one component of Spotterโ€™s total compensation package for employees. Other rewards may include an annual discretionary bonus and equity. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Docker, Testing, DevOps, Cloud, Senior, Engineer and Linux jobs that are similar:\n\n $50,000 — $80,000/year\n
\n\n#Benefits\n ๐Ÿ’ฐ 401(k)\n\n๐ŸŒŽ Distributed team\n\nโฐ Async\n\n๐Ÿค“ Vision insurance\n\n๐Ÿฆท Dental insurance\n\n๐Ÿš‘ Medical insurance\n\n๐Ÿ– Unlimited vacation\n\n๐Ÿ– Paid time off\n\n๐Ÿ“† 4 day workweek\n\n๐Ÿ’ฐ 401k matching\n\n๐Ÿ” Company retreats\n\n๐Ÿฌ Coworking budget\n\n๐Ÿ“š Learning budget\n\n๐Ÿ’ช Free gym membership\n\n๐Ÿง˜ Mental wellness budget\n\n๐Ÿ–ฅ Home office budget\n\n๐Ÿฅง Pay in crypto\n\n๐Ÿฅธ Pseudonymous\n\n๐Ÿ’ฐ Profit sharing\n\n๐Ÿ’ฐ Equity compensation\n\nโฌœ๏ธ No whiteboard interview\n\n๐Ÿ‘€ No monitoring system\n\n๐Ÿšซ No politics at work\n\n๐ŸŽ… We hire old (and young)\n\n
\n\n#Location\nLos Angeles, California, United States
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๐Ÿ‘‰ Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!

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


Zoox


Foster City, CA
๐Ÿ’ฐ $60k - $110k*

Embedded

 

Software

 

Python

Test

Health

Engineer

Zoox is hiring a

Remote Embedded Software Engineer Embedded Linux

\n Zoox is looking for a software engineer to join our Embedded Linux team. In this role, you will be responsible for developing, extending, and maintaining embedded Linux platforms for the Zoox vehicle. You will work closely with embedded software and validation engineers to enable support for new advanced platforms and accelerate application development across multiple projects. We are looking for people who are passionate about software and open-source projects and creating robust andreusablee software. \n\n\n\nResponsibilities \n* Architect, develop, debug, optimize, review, and test software for Linux-embedded platforms\n* Leverage multiple open-source projects to expand Linux systems' capabilities\n* Develop new and maintain existing features for custom-embedded Linux boards\n* Build Custom Linux distribution based on the manufacturer's Board Support Packages\n* Contribute to all phases of the software development cycle including prototyping, requirements capture, design, implementation, and validation\n\n\n\nQualifications\n* Bachelor's or Master's degree in computer sciences, electrical engineering, or equivalent experience\n* 5+ years of previous development experience on Linux\n* Experience developing native user mode applications is required\n* C99 programming experience\n* Experience in Bash and Python scripting\n* Experience debugging complex problems or remote systems\n\n\n\nBonus Qualifications\n* Linux kernel. Experience, in controlling hardware from the kernel\n* Experience with Yocto or other embedded Linux build frameworks\n* Experience with Security: certificates, PKI, encryption/signing algorithms\n* C++ 14 experience\n* Exposure to STL and Boost is highly desirable \n\n\n\n\n\nCompensation\nThere are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $165,000 to $215,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.\n \nZoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.\n\n\n\n\nAbout Zoox\nZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. Weโ€™re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.\n\n\nFollow us on LinkedIn\n\n\nA Final Note:\nYou do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Engineer and Linux jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n ๐Ÿ’ฐ 401(k)\n\n๐ŸŒŽ Distributed team\n\nโฐ Async\n\n๐Ÿค“ Vision insurance\n\n๐Ÿฆท Dental insurance\n\n๐Ÿš‘ Medical insurance\n\n๐Ÿ– Unlimited vacation\n\n๐Ÿ– Paid time off\n\n๐Ÿ“† 4 day workweek\n\n๐Ÿ’ฐ 401k matching\n\n๐Ÿ” Company retreats\n\n๐Ÿฌ Coworking budget\n\n๐Ÿ“š Learning budget\n\n๐Ÿ’ช Free gym membership\n\n๐Ÿง˜ Mental wellness budget\n\n๐Ÿ–ฅ Home office budget\n\n๐Ÿฅง Pay in crypto\n\n๐Ÿฅธ Pseudonymous\n\n๐Ÿ’ฐ Profit sharing\n\n๐Ÿ’ฐ Equity compensation\n\nโฌœ๏ธ No whiteboard interview\n\n๐Ÿ‘€ No monitoring system\n\n๐Ÿšซ No politics at work\n\n๐ŸŽ… We hire old (and young)\n\n
\n\n#Location\nFoster City, CA
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๐Ÿ‘‰ Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!

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

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