\nSynack’s Penetration Testing as a Service platform manages customers’ attack surfaces by discovering new assets, pentesting for critical vulnerabilities and gaining visibility into the root causes of security risks. We are committed to making the world more secure by harnessing a talented, vetted community of security researchers to deliver continuous penetration testing and vulnerability management, with actionable results. Synack's PTaaS platform has uncovered more than 71,000 exploitable vulnerabilities to date, protecting a growing list of Global 2000 customers and U.S. agencies in a FedRAMP Moderate Authorized environment. For more information, please visit www.synack.com.\n\nWe are looking for an awesome DevOps/Infrastructure Automation Engineer with expertise in automated infrastructure build tools such as Terraform, Ansible, and Salt. This role requires hands-on programming and iterative development for various infrastructure components including web stacks, database systems, security tools, and networking/cloud environment configurations. You have knowledge of Google Cloud Platform and Microsoft Azure and the networking/security constructs of their Public Cloud environments. You will work closely with the Engineering teams to ensure proper software support, monitoring, and security policies. We understand this is a complex role and do not expect all candidates to possess knowledge of every tool we use--but we do expect the motivation and ability to learn/adapt/overcome challenges with a winning attitude.\n\nSounds interesting? Keep reading…\n\nPlease note: This is a remote position based in the Washington, D.C. area. We can only hire U.S. citizens for this position due to federal government contract requirements. Qualified candidates must hold a Top Secret Clearance. \n\nHere’s what you'll do\n\n\n* Leverage extensive knowledge and understanding across multiple infrastructure software automation projects and CI/CD pipelines while partnering with Engineering, Product Management, InfoSec, and QA to define and execute against technical designs following industry best practices\n\n* Work as a member of feature teams to deliver on the infrastructure portion of the product\n\n* Predict and deliver improvements across a diverse scope to our automated infrastructure components within an DevSecOps methodology\n\n* Enhance monitoring and alerting across the Synack production application while creating new alerts and responding to issues as needed\n\n* Tune automation to overcome systems performance and stability issues and devise solutions based on limited information and precedent to resolve issues\n\n* Create automated tests around our infrastructure suite to improve reliability\n\n\n\n\nHere's what you'll need\n\n\n* 3+ years of experience deploying and supporting scalable and high availability infrastructure utilizing CI/CD tools\n\n* 3+ years of experience supporting SaaS or PaaS in an GCP, Azure, or AWS production high-traffic environment -  (must have experience with GCP providers)\n\n* 3+ years of scripting skills in Golang and/or Ruby preferred\n\n* Experience with database technologies such as MySQL, Postgres, Redis \n\n* Experience with message broker/queue technologies like PubSub or Kafka\n\n* Strong background in Linux/Unix and networking concepts\n\n* Experience with event monitoring and alerting tools such as Prometheus, GCP Operations Suite (Stackdriver/Cloud Trace), and Splunk\n\n* Cloud automation experience using tools such as GitHub Actions, Terraform, Ansible, SaltStack\n\n* Container Orchestration experience using Kubernetes\n\n* Experience automating tasks with advanced scripting skills\n\n* DoD Top Secret clearance required\n\n\n\n\nBonus points\n\n\n* Understand security in a systems environment (What does a kernel-based rootkit look like?)\n\n* A technical degree in Computer Science or Software Engineering.  To us, DevOps is a combination of great systems engineering and software engineering.\n\n* Experience with side projects where you’ve learned to apply new technologies, frameworks or programming languages.\n\n\n\n\nReady to join us?\n\nSynack is committed to embracing diversity. Our people are our strength.  Each addition to our team is an opportunity to grow and diversify our ideas, experiences, and viewpoints. We strive to be inclusive of Race, Ethnicity, Religion, Sex, LGBTQ+, Veterans, Disabilities, and Age.  Synack welcomes you!\n\nAs a candidate, Synack cares about your privacy. Please view our candidate privacy policy here.\n\nThis position has responsibility to ensure Synack’s security and privacy posture is maintained.\n\n$100,000 - $175,000 Salary is determined by a combination of factors including location, level, relevant experience, and skills. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. The compensation package for this position may also include equity, and benefits.\n\nFor more details about our benefits, please see here. Then for the Employer code, enter: synack \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to SaaS, DevOps, Cloud, Ruby, Golang and Engineer jobs that are similar:\n\n $60,000 — $100,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nWashington, District of Columbia, 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

\nReports to: Engineering Manager\n\nLocation: Remote Canada and US\n\nCompensation Range: $170,000 to $195,000 base plus bonus and equity \n\n \n\nWhat We Do: \n\nFounded in 2015 as a fully remote company by former NSA cyber operators, Huntress was built on a simple premise: to force hackers to earn every inch of their access. \n\nToday’s cyber-attacks aren’t limited to large organizations with the security tools that can ward off threats. Hackers don't discriminate and will find a way to penetrate any vulnerability in any size business, which is why Huntress focuses on protecting those small to midsize businesses that make up the backbone of our economy.\n\nHuntress stops hidden threats that sneak past preventive security tools by utilizing our award-winning security platform and expert human threat hunters through dynamic products, including Managed EDR, MDR for Microsoft 365, and Managed Security Awareness Training.\n\nJoin the hunt and help us stop hackers in their tracks!\n\nWhat You’ll Do:\n\nThe Huntress team is looking for an innovative and highly motivated Staff Software Engineer with excellent problem-solving and communication skills. As a Staff Software Engineer at Huntress, you will be responsible for leading a feature delivery team in the design, development, and high-quality release of software features for the Huntress MDR for M365 Platform that provides for automated detection and human-powered threat hunting. You will focus on creating the technical vision for new and exciting features from the product roadmap. You’ll be working with a smart and diverse team of problem solvers who exhibit high energy, deep technical skills, and a drive to get things done.   \n\nResponsibilities:\n\n\n* Responsible for managing the technical aspects of the development of features for the MDR for M365 Portal\n\n* Lead and develop high-quality software, software designs, and architecture and set standards for team excellence\n\n* Convert acceptance criteria into functional workflows and data models and associated software design\n\n* Be a technical thought leader for your team, providing architectural and design direction\n\n* Focus on the entire life cycle of the system, including evolution, configuration, and risk management\n\n* Ensure code quality and test code coverage through code reviews and test plan reviews\n\n* Lead the team in providing accurate estimates and taking ownership over the timely completion of work\n\n* Mentor junior engineers to help them level up their skills\n\n* Motivate teams and promote collaboration and engagement\n\n* Actively engage with the team and lead by being a positive role model\n\n\n\n\nWhat You Bring To The Team:\n\n\n* 10+ years of experience developing complex software products\n\n* 5+ years of programming in Ruby on Rails\n\n* Experience with Javascript\n\n* Experience with AWS Cloud Environments\n\n* Experience working on Linux-based infrastructure\n\n* Experience with databases such as Postgres\n\n* Excellent technical, diagnostic, and troubleshooting skills\n\n* Ability to grasp new technologies quickly and prioritize and multitask on multiple responsibilities\n\n* Ability to operate independently, make decisions, take action, and take responsibility\n\n* Effective communication and interpersonal skills\n\n* Ability to work and coordinate between multiple teams\n\n* Ability to communicate highly technical concepts clearly and concisely\n\n* Demonstrated ability to take high-level requirements, decompose them into actionable work units, and lead the entire SDLC\n\n* Passion for technology and strong motivation and responsibility for high-quality software features\n\n* Ability to build strong interpersonal relationships with product, development teams, leadership, senior management, and internal and external stakeholders\n\n\n\n\nWhat We Offer: \n\n\n* 100% remote work environment - since our founding in 2015\n\n* Generous paid time off policy including vacation, sick time, and paid holidays\n\n* 12 weeks paid parental leave\n\n* Highly competitive and comprehensive medical, dental, and vision benefits plans \n\n* 401(k) with 5% contribution regardless of employee contribution\n\n* Life and Disability insurance plans\n\n* Stock options for all full-time employees \n\n* One-time $500 reimbursement to build/upgrade home office\n\n* Annual allowance for education and professional development assistance \n\n* $75 USD/month digital reimbursement\n\n* Access to both Udemy and BetterUp platforms for coaching, personal, and professional growth\n\n\n\n\n  \n\nHuntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. \n\nWe do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status.  \n\nWe do discriminate against hackers who try to exploit small businesses. \n\nAccommodations: \n\nIf you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or participating in the employee selection process, please direct your inquiries to [email protected]. Please note that non-accommodation requests to this inbox will not receive a response. \n\nIf you have questions about your personal data privacy at Huntress, please visit our privacy page.\n\n#BI-Remote \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Cloud, Ruby, Senior, Junior and Engineer jobs that are similar:\n\n $62,500 — $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\nColumbia, Maryland, United States