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

\nLooking to contribute to Web3? Akash Network, created by Overclock Labs, is the world’s first decentralized peer-to-peer marketplace for cloud compute. Join the team that is providing infrastructure to power the next generation of the Internet. We envision a world where cloud compute is permissionless, sovereign, and open. Our global team includes renowned open-source, cloud, and blockchain developers, as well as seasoned experts from leading technology companies. \n\n\nOverclock Labs is a distributed and growing team. You will find more ownership, flexibility, and freedom at Akash than at other companies. We offer a competitive salary, remote work, unlimited vacation, and unparalleled growth opportunities at the intersection of blockchain, crypto, cloud and Web3.\n\n\nThe Role\n\n\nAs a Sr. Software Engineer at Overclock Labs you will have the opportunity to learn and master the latest in Proof-of-Stake blockchains, decentralized applications and Web3.0. You will have an excellent opportunity to expand your scope and help build the  Web 3.0 decentralized infrastructure of the future.\n\n\n\nYour Sphere of Impact\n* Responsible for the technical design and collaborative team work towards delivery of new features in the cloud and chain portions of the product roadmap \n* Implementing resilient and scalable systems to achieve extremely high reliability for the Akash blockchain \n* Contributing to a the microservices roadmap that allows for quick iteration of Product features in a fail fast model \n* Thinking creatively about attack vectors, failure handling, and other non-functional requirements \n* Continuously raise our standard of engineering excellence by driving best practices for coding, testing, and deployment\n\n\n\nRequirements\n* 5+ years of professional software development in Platform/backend teams\n* 2 years working in Golang specific stack \n* MSc or higher in Computer Science, (or BSc with relevant experience) in software engineering \n* Expert knowledge of systems design concepts and distributed computing \n* Experience with distributed systems and/or container orchestration \n* Experience in key security concepts: cryptography, key/certificate management, identity, and access management \n* Experience with test-driven development and the use of testing frameworks \n* You possess an innate curiosity, are a strong advocate for the best engineering practices and thrive on learning new technologies \n* You take a pragmatic approach to developing clean solutions to complex problems \n* Strong communication skills, specifically giving/receiving constructive feedback in a collaborative setting \n* While open source contributions themselves are a strong nice-to-have, the team develops in open source and uses Git workflows, so you must have proven ability to develop and understand git workflows and the full SDLC in this type of environment \n* Ability to stay communicative while working remotely and asynchronously\n\n\n\nPreferred\n* Notable Opensource contributions in GitHub \n\n\n\n\n\nOur Stack\n\n\nGolang, JavaScript, Postgres, Kubernetes and virtualization technologies\n\n\n\n\nAbout Akash Network\n\n\nAkash Network is the world's first distributed peer-to-peer marketplace for cloud compute that provides a fast, efficient, and low-cost deployment solution. Utilizing containerization and open-source technology, Akash Network is capable of leveraging the 85% of underutilized cloud capacity in 8+ million data centers worldwide, enabling anyone to buy and sell compute. Developers leveraging Akash Network can access cloud compute at a fraction of the cost compared to centralized cloud providers like Amazon Web Services (AWS), Google Cloud, Microsoft Azure and Alibaba.  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Amazon, Testing, Cloud, Git, Microsoft, Golang, Engineer 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\nU.S. based

\nAHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.\n\n\nAt AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. \n\n\nWe are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. \n\n\nWe embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. \n\n\nNetwork Security Pre Sales Specialist  \n\n\nThe AHEAD Network Security Specialist will be focused on the core tenets of Network and Network Security related solutions for AHEAD prospects and customers including a broad range of technologies.  As a member of our specialist team, you will be considered an organizational thought leader for this marketplace.\n\n\nYou will work in partnership with multiple sales representatives to help build a cohesive account strategy for each existing and prospective client. As part of this strategy, you will help sales representatives identify potential technologies and vendors to partner with in a given account and assist in driving this strategy throughout a given campaign. \n\n\nTime management and prioritization are essential attributes to be successful. Your goal is to evolve into the technical thought leader for each of your clients. In this capacity, you will work to define strategy, compare and contrast alternative approaches, and build key relationships, as well as size and configure products. Positioning and leveraging subject matter experts and inside consultants is a necessity to scale your effectiveness within accounts. \n\n\nAHEAD is actively recruiting for this role and is looking for candidates who consider themselves as a “Next Generation Network / Datacenter Architect.”   A core tenet and base requirement for this position is understanding and mastery of Cisco Route/Switch and/or DataCenter technologies.  Outside of this core tenet, our expectation is to attract, recruit and attain resources who have a desired to focus not only on traditional on-premise Cisco solutions, but also to be looking to career, technology and skill advancement by being actively willing to demonstrate skills and ability to learn new technologies including multiple SDN solutions, network security, load balancing, edge / acceleration, and cloud technologies.  Understanding that the impetus and impact of Cloud computing is real and should be incorporated into solutions is key.   Experience or eagerness to learn about and with network and system / access design with Amazon AWS, Microsoft Azure or other cloud services is a key requirement. \n \n\n\n\n\n\nRoles and Responsibilities\n* Participation, Leadership and Coordination of the AHEAD virtual team for Network Infrastructure\n* You will also be responsible for working with the AHEAD partner management team and directly with selected vendors to maintain vendor technical and sales relationships\n* As a Network Specialist you are a thought leader within the Engineering organization, responsible for designing, architecting, and, at times, consulting for Ahead clients\n* Your goal as a Network Lead should be to build skills, relationships, and industry credibility across many segments to drive product, services and consulting sales\n* Support the sales teams during engagements by providing advice and solutions or proposals optimized to meet customer technical and business requirements \n* Develops relationships with the account managers, partners and customers in support of sales team objectives and engages and leverages team specialist resources as appropriate \n* Strategizes and executes technical sales calls \n* Completes required pre-sales documentation (configurations, pricing, services, presentations, justifications etc.) quickly and accurately \n* Qualifies sales opportunities in the terms of customer technical requirements, decision making process and funding \n* Presents and markets the design and value of proposed Ahead solutions and business justification to customers, prospects and Ahead management \n* Participates in mentorship of entry-level team members \n* Possesses strong, detailed product / technology / industry knowledge. Knowledge of job associated software and applications \n\n\n\nBase Skills\n* Network Infrastructure Experience \n* Cisco certifications are required. Examples: CCIE, CCNP \n* Cisco Nexus 9K, ACI, 7K, 5K, 2K, 1K \n* Experience with Converged Network Fabrics / Converged Infrastructure Systems \n* IP Routing Protocols \n* Layer 2 protocols and technologies \n* Cisco Core Datacenter Technologies \n* ACI \n* Network Management \n* MPLS, DMVPN, Multicast \n* Firewalls, VPN, IPSec / L2TP etc \n* Network Security\n\n\n\nOther Skills\n* VMware / VMware NSX \n* Palo Alto\n* Arista\n* Fortinet\n* Automation skillet\n* F5 / NetScalar \n* Amazon AWS, Azure, Cloud connectivity and network fundamentals \n\n\n\nEducation and Experience\n* Bachelor’s degree in Computer Science, Engineering, or equivalent \n* Pre Sales and Data Center experience is required \n* Professional communication, presentation, analytical, and problem-solving skills. \n* Experience working as a technical lead in a pre-sales sales campaign \n* Ability to work under critical conditions and influence others to achieve results \n* Strong interpersonal skills with excellent presentation skills \n* Must be independent, self-motivated, a self-starter and possess a good working attitude \n* Able to work well within a team and partner environment \n* Customer focused and results driven \n\n\n\n\n\nWhy AHEAD:\n\n\nThrough our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between.\n\n\nWe fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning.\n\n\nWe understand that you have a life outside of work. That’s why we offer flexible paid time off, paid company holidays, and the ability for you to manage your work schedule as needed. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Amazon, Consulting, Cloud, Microsoft, Sales and Digital Nomad jobs that are similar:\n\n $70,000 — $115,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nPhoenix, Arizona

\nThis is a remote position.\n\nSome Federal contracts require U.S. citizenship to be eligible for employment.\n\nAd Hoc is a digital services company that helps the federal government better serve people. Our team of experts from across commercial industry and government brings the modern skills necessary to help agencies transform public services into digital services. Our work enables agencies to meet the needs of their users while closing the gap between consumer expectations and government.\n\nInfrastructure engineers are our authorities on implementing DevOps methodologies, building tools and services to allow application teams and others to self-service, and driving cross-team communications to ensure we ship stable and performant services. We’re looking for a driven and organized Infrastructure Engineer to help guide our teams in delivering the very best digital services for the American people.\n\nStaff Software Engineers generally lead cross-functional, technical teams of 3 to 6 engineers (including themselves) and are the individuals primarily responsible for ensuring successful delivery for their team. They generally establish high levels of trust and operate with significant autonomy. This position is reserved for individuals with significant development and leadership experience. Staff Software Engineers are accountable for the code and systems they own, lead the resolution of major issues effectively and direct the evaluation of tradeoffs between implementation complexity and other costs. They have expert-level capabilities in at least one major technology stack.\n\nRequirements\n\n\nMinimum 7 years of experience in software design, development, architecture and operations\n\n* Bachelor of Science in Technology or Engineering\n\n\n\n\nWhat You'll Do\n\n\n* Collaborate across teams to consolidate and simplify DevOps tools and services, then support other infrastructure engineers using them in production\n\n* Build libraries, modules, and packages for other infrastructure engineers to integrate with their projects\n\n* Develop Continuous Integration / Continuous Delivery (CI/CD) processes to help deliver software of higher quality at greater speed\n\n* Work closely with our government partners and app teams to ensure that we are shipping software that meets security, SLA, and performance requirements\n\n* Solve problems in ways that drive towards simplicity of architecture and operations\n\n* Ship software that impacts the lives of millions of Americans\n\n\n\n\nWhat You'll Bring\n\n\n* Experience automating infrastructure, testing, or deployments of a web-based application with tools like Jenkins, Ansible, Terraform or Packer\n\n* Experience with DevOps Tooling (Terraform/Ansible/AWS) Monitoring (Prometheus/Grafana) Container Orchestration Developer Experience (GitHub-backed SCM and Issues)\n\n* Experience with Frontend (React/Redux) Backend (Rails) a big plus\n\n* 4+ years experience with Amazon Web Services (AWS), Google Cloud Platform (GCP) or Microsoft Azure.\n\n* Understanding of basic networking fundamentals: TCP/IP, UDP, routing, load balancing.\n\n* Experience and understanding of one or more different agile methodologies, including Scrum, XP, or SAFe.\n\n* Automation of applications through RESTful APIs\n\nEnsuring effective engineering delivery on their program or team.\n\nContributing to and delivering performance reviews with direct reports.\n\nDeveloping and presenting monthly reports based on program reporting requirements.\n\nShaping the technical direction of their program. \n\nManaging the technical relationship with the client, and influencing their technical decision-making. \n\nDemonstrating a deep awareness of how changes they make interact with all components in a broader system. This includes technologies for frontend, backend, infrastructure, usability, and design, as well as varying development, testing, and release methodologies within an organization.\n\nPlanning and executing on roadmaps for new projects without explicit guidance and direction from technical supervisors. \n\nActively driving conversations and planning sessions with partners and key stakeholders, and representing the engineering practice while advocating for the best technical solutions and communicating tradeoffs. Ultimately providing significant positive impact to a program’s roadmap.\n\nInfluencing the customer toward successful outcomes by establishing trust through reliable and successful execution and demonstrated competency.\n\nProviding vision for other engineers within their area of influence, and advocating for that vision while taking into account client requirements. \n\nPrioritizing high-impact work and delivering on that work over non-critical tasks.  \n\nPeriodically traveling to the client site to work with and present to partners and stakeholders as necessary. \n\nElaborating and evolving on complex and ambiguous products to uncover new constraints and opportunities.\n\nAssigning tasks to and monitor the progress of task completion for team members.\n\nProviding mentorship and guidance to team members through practice, code review, presentations, and architecture. This may include, but isn’t limited to game day design and execution.\n\nProviding general career development advice to team members, and staying up to date on career options and new opportunities within the company that may be beneficial for the growth of those engineers.\n\nReducing ambiguity in the systems they work with, including additional documentation, refactoring, and testing. \n\nEffectively communicate on existing systems, design decisions, past performance, and a major history of the projects that they’ve been part of for bid-writing, tech demos, and other potentially client-facing communications. \n\nInforming program leadership of the health of your team and contributing to evaluation of team members, written or otherwise\n\nActively contributing code and performing code review on your applications as an engineer. \n\nParticipating in technical depth interviews with new candidates\n\nConducting regular 1:1 meetings and performance reviews with direct reports; providing general career development advice to team members based on their knowledge of company policy and process\n\nCreating opportunities for improving not just their immediate area, but similar areas in other programs across the company. \n\nEnsure that all systems operate smoothly and, in coordination with QA Manager, align with ISO and CMMI quality standards.\n\n\n\n\nTo learn more about engineering at Ad Hoc.\n\nBenefits\n\n\nCompany-subsidized Health, Dental, and Vision Insurance\n\nUse What You Need Vacation Policy\n\n401K with employer match\n\nPaid parental leave after one year of service\n\nContinuing education/annual conference attendance stipend\n\n\n\n\nAd Hoc LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, sexual orientation, gender identity or expression, religion, age, pregnancy, disability, work-related injury, covered veteran status, political ideology, marital status, or any other factor that the law protects from employment discrimination.  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to DevOps, Senior, Engineer, Developer, Digital Nomad, Amazon, Cloud, Microsoft and Backend jobs that are similar:\n\n $65,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nPhoenix, Arizona, United States