\nWhat You’ll Do\n\n\n* Develop and implement network automation solutions using scripting languages and Infrastructure as Code to automate routine tasks, configuration changes, and troubleshooting processes\n\n* Utilize CI/CD tools to build and deploy networking Infrastructure as Code and network system configurations  \n\n* Monitor network performance, identify and resolve issues, and implement preventative maintenance measures\n\n* Troubleshoot, diagnose and resolve complex network problems, including hardware failures, software bugs, configuration errors, and platform/orchestration issues \n\n* Configure and maintain network devices like routers, switches, firewalls, and load balancers\n\n* Develop and maintain accurate and up-to-date network documentation, including diagrams, procedures, and policies\n\n* Implement and enforce network security measures to protect against unauthorized access and cyber threats\n\n* Assist in the planning, implementing, and testing of new network infrastructure and technologies\n\n* Coordinate with network equipment vendors and service providers to resolve issues and ensure optimal performance\n\n\n\n\nWhat You’ll Need\n\n\n* 3+ years of experience in network operations or a similar role\n\n* Proficiency in using Infrastructure as Code (IaC) tools such as Terraform and Ansible and scripting with Python to automate and manage cloud resources\n\n* Experience with container orchestration platforms like Kubernetes and managing Platform-as-a-Service (PaaS) solutions to deploy and scale applications effectively\n\n* Excellent troubleshooting and problem-solving ability\n\n* Deep knowledge of network protocols like Multicast, TCP/IP, BGP, OSPF and network architectures like hub & spoke, mesh\n\n* Strong understanding of AWS Networking like TGW, DirectConnect, VPC Endpoints, VPC Peering, VPNs, Routing, and AWS Application / Edge Networking (CloudFront, APIGW, EKS, ELB/ALB)\n\n* Experience with network monitoring and management tools like Grafana, DataDog, VictoriaMetrics\n\n* Hands-on experience with on-premise networking hardware – Routers, Switches, and Firewalls like Cisco, Palo Alto, Arista\n\n* Knowledge of containerization technologies like Docker and Kubernetes, including their networking aspects\n\n* Strong written and verbal communication\n\n* Bachelor's degree in Computer Science, Information Technology, or a related field\n\n\n\n\nPreferred, not required\n\n\n* CCNA, CCNP, AWS Advanced Networking, or other relevant networking certifications\n\n* Experience managing PoP/connectivity for multi-cloud data centers across multiple regions and platforms\n\n* Experience with Extranet vendor management and configuration\n\n* Experience with AWS Application networking services such as AWS VPC Lattice or AWS App Mesh\n\n* Experience with Network Overlay tools such as Aviatrix\n\n\n\n\nApplicants must be authorized to work for any employer in the U.S. DriveWealth is unable to sponsor or take over sponsorship of an employment Visa at this time. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Docker, DevOps, Cloud 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\nNew York City, New York, United States

The Role\n\nLeafLink is seeking a Principal Data Engineer to join our remote-friendly team, headquartered in NYC, who is passionate about working with teams that solve interesting, large-scale problems rapidly. This impactful position enables LeafLink to coordinate and integrate with 3rd party data sets and proprietary data to produce valuable insights into business and customer needs. As a member of our engineering team, you will be in a position to have a direct and lasting impact everywhere in the company. Your contribution will be immediate and have positive ripple effects across not just our business, but also the business of each of our customers. \n\nLeafLink is currently tackling a large-scale platform overhaul that will strengthen our position as a technical leader within the industry. As such, this role has the opportunity to help lead, shape, and grow the data and machine learning architecture within our platform, as well as work with new and growing technologies. It’s a very exciting time to join our engineering team!\n\nIdeal candidates for this position should possess a keen mind for solving tough problems with the ideal solution, partnering effectively with various team members along the way. They should be deeply passionate about organizing and managing data at scale for various use cases. They should be personable, efficient, flexible, and communicative, have a strong desire to implement change, grow, mature, and have a passion and love for their work. This role comes with the opportunity to be a high performer within a fast-paced, dynamic, and quickly growing department in all areas.\nWhat You’ll Be Doing\n\n\n* Audit, design, and maintain a high-performing, modular, and optimal data pipeline architecture for structured and unstructured use cases around machine learning, reporting, and analytics \n\n* Design and co-build with Cloud and DevOps the infrastructure and operations required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, python, and AWS cloud technologies\n\n* Keep up to date on modern technologies and trends and advocate for their inclusion within products when it makes sense\n\n* Analyze and evaluate existing solutions and make decisions on whether to extend or refactor as needed with a major focus on improving our pipeline and reporting performance\n\n* Work with the CTO and department stakeholders to properly plan short and long-term goals, and define and execute a technical roadmap that continues to evolve LeafLink’s data capabilities and functionality to meet the needs of our Business and Product Vision.\n\n* Work collaboratively with multiple cross-functional agile teams to help deliver end-to-end products and features enabled by our data pipeline, seeing them through from conception to delivery\n\n* Help define, document, evolve, and evangelize high engineering standards, best practices, tenants, and data management & governance across data and analytics engineering\n\n* Move quickly and intelligently - seeing technical debt as your nemesis and eliminating risk\n\n* Effectively communicate the complexity of your work to technical and non-technical audiences through non-written and written mediums\n\n* Design, develop, and test data models in our data warehouse that enable data and analytics processes\n\n* Help define and build our enterprise data catalog and dictionary \n\n* Troubleshoot, diagnose and address data quality issues quickly and effectively while implementing solutions to combat this at scale, including improved quality controls and observability and monitoring\n\n* Provide mentorship and growth to our BE and Data engineers while creating repeatable and scalable solutions and patterns\n\n\n\nWhat You’ll Bring to the Team \n\n\n* Minimum of 10 years experience in a professional working environment on a data or engineering team\n\n* Advanced working SQL knowledge and experience working with relational and non-relational databases, query authoring (SQL) as well as working familiarity with a variety of data stores\n\n* Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.\n\n* Expertise writing Python processing jobs to ingest a variety of structured and unstructured data received from various sources & formats such as Rest APIs, Flat Files, and Logs with the ability to support and scale to both smaller and larger dataset ingestions \n\n* They should also have experience using the following software/tools:\n\n\n\n* Experience with object-oriented/object function scripting in Python and data processing libraries such as requests, pandas, sqlalchemy\n\n* Experience with relational SQL and NoSQL databases, such as Redshift or comparable cloud-based OLAP databases such as Snowflake\n\n* Experience with data pipeline and workflow management tools: Airflow\n\n* Experience with AWS cloud services\n\n* Hands-on experience with technologies such as Dynamo, Terraform, Kubernetes, Fivetran, and dbt is a strong plus\n\n* Experience with designing and implementing machine learning enablement tools and infrastructure\n\n* Experience leveraging API-based LLM models, dynamic prompt generation, fine-tuning\n\n\n\n* Comfortable working in a fast-paced growth business with many collaborators and quickly evolving business needs\n\n* Individual contributor leadership to our data and analytics engineers and specialization on our current Platform Engineering team around data enterprise architecture and best practices\n\n* Consistency and standards to how we visualize and use our enterprise data at LeafLink through helping us define our first Data Dictionary and Catalog \n\n\n\nLeafLink Perks & Benefits\n\n\n* Flexible PTO - you’re going to be working hard so enjoy time off with no cap!\n\n* A robust stock option plan to give our employees a direct stake in LeafLink’s success\n\n* 5 Days of Volunteer Time Off (VTO) - giving back is important to us and we want our employees to prioritize cultivating a better community\n\n* Competitive compensation and 401k match\n\n* Comprehensive health coverage (medical, dental, vision)\n\n* Commuter Benefits through our Flexible Spending Account\n\n\n\n\nLeafLink’s employee-centric culture has earned us a coveted spot on BuiltInNYC’s Best Places to Work for in 2021 list. Learn more about LeafLink’s history and the path to our First Billion in Wholesale Cannabis Orders here. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, DevOps, Cloud, NoSQL 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\nNew York City, New York, United States

\nSUMMARY\nWiz is looking for a Security Engineer for Product & Production Infrastructure who has experience performing security reviews, vulnerability management, and detection and response operations in cloud-native environments. You’ll get to collaborate with our software development and DevOps teams to secure Wiz’s products, CI/CD infrastructure, and production infrastructure. You’ll also have the opportunity to influence our product roadmap by utilizing Wiz-for-Wiz to assess, monitor, and harden our environments.  \n \n\nWHAT YOU’LL DO\n\n\nLead threat modeling and security review exercises across Wiz’s production and CI/CD environments – identifying and mitigating risks in our products and the cloud services that support them \n\nDrive vulnerability management and remediation efforts – prioritizing issues, implementing mitigations, and designing strategic preventative controls \n\nExtend our detection and response capabilities – building scalable solutions to identify malicious activity, triage alerts, and investigate and remediate incidents  \n\nBuild deep functional partnerships with Wiz’s engineering and operations teams – helping them deliver secure-by-design solutions \n\n\n\n\n \n\nWHAT YOU’LL BRING\n\n5+ years of experience in security engineering or security operations work in cloud environments, with a focus on a combination of the below: \n\n\nAWS platforms and services (we will also consider equivalent experience in Azure and GCP) \n\nKubernetes (AWS EKS) and container infrastructure \n\nIAM and managing cloud identities at-scale \n\nSecure development and application of IAC solutions (Terraform, Helm) \n\nCloud-native observability and management tools \n\nDevelopment experience in Go, Python and Rust\n\n\n\n\nPREFERRED QUALIFICATIONS\n\n\nBachelor's degree in computer science or a related field and / or candidates with equivalent job experience in lieu of a degree \n\nExperience working with remote, globally distributed teams  \n\nExperience working in organizations that develop software and / or operate managed infrastructure and technology services for their own customers   \n\nExperience with CNAPP, CSPM, or CIEM solutions\n\n\n\n\n \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 Python, DevOps, Cloud and Engineer jobs that are similar:\n\n $60,000 — $105,000/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\nLondon, England, United Kingdom

\nNext-gen operations at scale, with pure Python infra-as-code, from bare metal to containers and applications. Our goal is to perfect enterprise infrastructure devops.\n\nWe run hundreds of private cloud, Kubernetes, and application clusters for customers across physical and public cloud estate, and we are raising the bar on what's possible with automation by embracing a universal operator pattern and model-driven operations.\n\nTo succeed in this role you need to believe in automation as a pure software engineering problem, not a hack-it-till-it-works-for-me problem. You need to be interested in the scientific approach to operations at scale, driven by metrics and code, and you need to be able to learn the entire stack, from bare metal networking and kernel up to serverless and open source applications.\nSenior DevOps Engineer\n\nOur DevOps engineers bring Python software-engineering skills and rigour to the operations domain. We practice devsecops from bare metal to application. We architect and run OpenStack, Kubernetes and software defined storage, and we enable devsecops for applications running on that infrastructure too.\n\nTo become a member of this team, you need to be a software engineer fluent in Python, you need a genuine interest in the full open source infrastructure stack from metal to containers, and you need the ability to work in a high pressure operations environment with mission-critical services for global brand name customers.\n\nAs a member of the team you will gain experience in a broad range of cloud technologies. We evolve our offerings as the state of the art improves, so you get to stay current with the latest capabilities in open source infrastructure. We drive upgrades to keep our customers on the latest, best solutions.\nWhat Canonical Offers\n\n\n* Technical management team that understands the details of what we are developing\n\n* A culture of openness and inclusiveness\n\n* Helpful and talented engineers who are world-class experts in many fields\n\n* Teams focused on good work life balance with long average retention rates\n\n* A wide range of engineering disciplines and career paths that can move between divisions\n\n* Fully remote company for career growth without relocation requirements\n\n\n\nRequirements\n\n\n* Software Engineering or Computer Science degree\n\n* Linux experience and familiarity with Linux networking and storage\n\n* Python software development experience\n\n* Demonstrated drive for continual learning\n\n* DevOps experience\n\n\n\nNice to haves\n\n\n* Experience with OpenStack or Kubernetes deployment or operations\n\n* We hope that you’ll join us in helping to shape and build the future of free software together\n\n\n\n\nOf course we also offer...\n\n\n* Learning and Development\n\n* Annual Compensation Review\n\n* Recognition Rewards\n\n* Annual Leave\n\n* Priority Pass for travel\n\n* Flexible working option\n\n\n\n\nWe are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity we will give your application fair consideration.\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 Python, API, Senior, Marketing, Engineer, Accounting, Finance, Microsoft, DevOps, Serverless, Cloud and Linux jobs that are similar:\n\n $70,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nTaipei, Taiwan