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

\nLivePerson (NASDAQ: LPSN) is the global leader in enterprise conversations. Hundreds of the world’s leading brands — including HSBC, Chipotle, and Virgin Media — use our award-winning Conversational Cloud platform to connect with millions of consumers. We power nearly a billion conversational interactions every month, providing a uniquely rich data set and safety tools to unlock the power of Conversational AI for better customer experiences.  \n\nAt LivePerson, we foster an inclusive workplace culture that encourages meaningful connection, collaboration, and innovation. Everyone is invited to ask questions, actively seek new ways to achieve success, nd reach their full potential. We are continually looking for ways to improve our products and make things better. This means spotting opportunities, solving ambiguities, and seeking effective solutions to the problems our customers care about.\n\nWe are a remote organization, but we value the opportunity to bring our teams together for offsite events, team collaboration, and training sessions. Therefore, we are looking for candidates who are based in Poland and are willing to come into the office for these activities. If this aligns with your situation and preferences, we encourage you to apply for this role.\n\nOverview:\n\nOur global DevOps team is growing rapidly, requiring a manager to lead and collaborate across the US, EMEA, and APAC regions to support our datacenter and cloud environments. This team focuses on the stability and reliability of our global infrastructure by leveraging existing standards, processes, and automation solutions. The DevOps Engineer Manager will oversee a team of engineers, serve as a domain expert in networking technologies, and support both datacenter and cloud infrastructure.\n\nYou will:\n\n\n* Lead and manage projects, changes, and incident resolutions.\n\n* Make strong decisions in high-pressure, fast-paced environments.\n\n* Develop, maintain, and support data center and cloud technologies across our global infrastructure, including routing, switching, and cloud technologies.\n\n* Oversee the implementation of changes, upgrades, and preventative maintenance.\n\n* Troubleshoot hardware, software, and vendor incidents to resolution, and identify remediation improvements.\n\n* Develop and leverage automation and monitoring tools to maximize visibility and recovery.\n\n* Communicate and collaborate across teams and levels to manage projects or incidents.\n\n* Mentor and guide team members to enhance their technical skills and professional growth.\n\n\n\n\nYou have:\n\n\n* Strong working knowledge in configuring and troubleshooting routing protocols (BGP, OSPF, and static).\n\n* Extensive experience with data center and cloud-based networking technologies and infrastructure (LAN, WAN, firewall, SDWAN, BGP, DNS, load balancing, VPN, etc.).\n\n* Experience with Arista and Cisco configurations and maintenance.\n\n* Deep understanding of network protocols and services.\n\n* Extensive experience in Linux environments and enterprise distros.\n\n* Experience with software development and strong scripting skills.\n\n* Experience with Palo Alto firewall configurations and maintenance.\n\n* Experience with F5 LTM and AFM configurations and maintenance.\n\n* Experience with networking and securing Kubernetes with Calico.\n\n* Experience with cloud technologies and IaC deployments.\n\n* Experience with GCP, AWS, Azure cloud environments (Certifications preferred).\n\n* Experience with virtual and containerized deployments in both data center and cloud.\n\n* Experience with Kubernetes and GKE deployments and networking elements (CNI, Istio, Calico).\n\n* Experience with CI/CD pipeline components, support, functionality, and tools.\n\n* Experience with version control concepts and operations (Git).\n\n* Experience with data formats XML, JSON, YAML and parsing with Python data structures.\n\n* Experience working within an Agile development environment.\n\n* Experience with webhooks, API styles, HTTP response codes, and authentication mechanisms.\n\n* Experience with Ansible deployments and creating Ansible playbooks.\n\n* Experience with Jenkins and parameterization.\n\n* Use of automation tools and modules (Rundeck/Puppet/Terraform).\n\n* Experience with Network Automation and Programmability Abstraction Layer with Multivendor (NAPALM) framework.\n\n* Leverage model-driven programmability within an Arista networking environment.\n\n* Experience with cloud infrastructure such as Compute, Network, Storage, and Backup.\n\n* Understand the need to organize code into methods, functions, classes, and modules.\n\n* Experience with monitoring performance metrics and KPIs.\n\n\n\n\nAdditional Requirements:\n\n\n* Collect feedback and requirements from design and technical staff.\n\n* Create diagrams, business cases, and architectural design documents.\n\n* Support on-call and weekend rotation as needed.\n\n* Collaborate with cross-functional teams.\n\n* Able to handle stressful situations with a level-headed approach.\n\n* Excellent verbal and writing skills (English).\n\n\n\n\nNOTE: This is position in Poland. Please apply only if you are in Poland\n\nBenefits: \n\n\n* Health: medical, dental, and vision\n\n* Development: Native AI learning\n\n\n\n\n#LI-Remote\n\nWhy you’ll love working here:\n\nAs leaders in enterprise customer conversations, we celebrate diversity, empowering our team to forge impactful conversations globally. LivePerson is a place where uniqueness is embraced, growth is constant, and everyone is empowered to create their own success. And, we're very proud to have earned recognition from Fast Company, Newsweek, and BuiltIn for being a top innovative, beloved, and remote-friendly workplace. \n\nBelonging at LivePerson: \n\nWe are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.\n\n We are committed to the accessibility needs of applicants and employees. We provide reasonable accommodations to job applicants with physical or mental disabilities. Applicants with a disability who require reasonable accommodation for any part of the application or hiring process should inform their recruiting contact upon initial connection.\n\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, DevOps, Cloud, API and Engineer jobs that are similar:\n\n $57,500 — $92,500/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\nKatowice, Silesian Voivodeship, Poland

About Phaidra\n\nPhaidra is building the future of industrial automation.\n\nThe world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades.\n\nPhaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically:\n\n\n* We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions.\n\n* We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning.\n\n* We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them.\n\n\n\n\nOur team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind's AlphaGo, to reducing the energy required to cool Google's Data Centers by 40%, we deeply understand AI and how to apply it in production for massive impact.\n\nPhaidra is based in the USA but 100% remote; we do not have a physical office. We hire employees internationally with the help of our partner, OysterHR. Our team is currently located throughout the USA, Canada, UK, Norway, Italy, Spain, Portugal, and India.\n\n**Please only apply to one opening. If you are a better fit for another opening, our team will move your application. Candidates who apply to multiple openings will not be considered.**\nWho You Are\n\nWe are looking for a very experienced Software Engineer with a focus on MLOps tech leadership to be a part of our growing AI Platform team. You are bold and creative, and have deep empathy for customers. You will design and implement significant parts of the code base and will have the opportunity to make an immediate impact with your work and guide the product and team as we grow.\n\nYou are curious and like to understand technologies and their tradeoffs in depth - providing technical guidance to the team and peers as and when required. Leading by example, you have accumulated a wealth of insights and experiences from your hands-on involvement in the field, and you are committed to rolling up your sleeves and getting work done. You like joining and supporting other engineers in their work to learn from them as well as letting them benefit from your expertise and experience.\n\nYou have the motivation and skills to identify technical product needs, initiate projects and owning their delivery, including the involvement of engineering peers as needed. You are comfortable with challenging the status quo respectfully to drive and deliver technical excellence in the team.\n\n\n* We are seeking a team member located within one of the following areas: USA/Canada/UK/EU\n\n\n\nResponsibilities\n\nThe AI Platform team you are joining is responsible for building the core platform that powers model training, inference and decision making in our products. Furthermore the team owns MLOps and the services hosting our AI capabilities. Productionizing results from Research, as well as extending our systems and providing support according to our customer needs fall into team responsibilities as well. You will join this team as a very experienced engineer with a focus on MLOps solutions to grow our expertise in that area, but also contribute as a software engineer more widely in the team.\n\nAs an organization, we strongly believe in expertise across the stack. As such, you will experience flavors of Machine Learning, Software Engineering, Distributed Systems, MLOps and DevOps.\n\nIn particular, you will:\n\n\n* Design, build and lead the MLOps initiatives and vision for the AI Platform to strengthen automation, orchestration, versioning, observability, monitoring and collaboration for the platform.\n\n* Build and design scalable components for the AI Platform to allow high throughput training and inference for RL agents doing realtime inference for autonomous control of industrial systems.\n\n* Contribute to the design and implementation of the product backend by writing REST & gRPC API services and scalable event-driven backend applications.\n\n* Design clear, extensible software interfaces for the team's customers and maintain a high release quality bar.\n\n* Perform DevOps duties of CI/CD, Release & Deployment management.\n\n* Be a part of our global production oncall team and, own & operate your services in production, meeting Phaidra’s high bar for operational excellence.\n\n* Lead cross-functional initiatives collaborating with engineers, product managers and TPM across teams.\n\n* Mentor your peers and be a technical role-model in the team.\n\n\n\nOnboarding\n\nIn your first 30 days…\n\n\n* You will be immersed in an onboarding program that introduces you to Phaidra and our product.\n\n* You will spend time in the Engineering org, learning how the teams operate, interact, and approach problems.\n\n* You will read various parts of our handbook and familiarize yourself with the documentation culture at Phaidra.\n\n* You will set up your development environment and start working on an onboarding exercise that will introduce you to various parts of our code base.\n\n* You will learn about how we use agile and be able to navigate our sprint boards and backlogs.\n\n* You will learn about various team standards and development & release processes.\n\n* You will start to learn about our system architecture and infrastructure.\n\n* You will start picking up few good “first-tasks” to get yourself accustomed to the end to end release flow.\n\n\n\n\nIn your first 60 days…\n\n\n* You will get a solid understanding of what Phaidra does and how we do it.\n\n* You will meet with team members across Phaidra and started building relationships that will help you be successful at your job.\n\n* You will complete the onboarding exercise and will be on your way to completing your first production task.\n\n* You will take ownership for the MLOps work on the team, identify gaps and propose roadmap items on the topic.\n\n\n\n\nIn your first 90 days…\n\n\n* You will be fully integrated in the team and with team members across the company.\n\n* You will have a more in-depth understanding of our system architecture and infrastructure.\n\n* You will complete your first on-call experience helping monitor and improve our production environments.\n\n* You will become an expert with our tooling.\n\n* You will start to contribute to knowledge sharing throughout Phaidra and the team.\n\n* You will take proactively drive MLOps topics in the team and represent it technically throughout the company.\n\n\n\nKey Qualifications\n\n\n* 10+ years of work experience.\n\n* Proven record on impact as a Tech Leader and bar-raiser for ambitious Software Engineering teams\n\n* Strong experience on designing and implementing MLOps solutions for AI production systems\n\n* Extensive experience with platform Software Engineering with the ability to contribute on all levels as an individual contributor and tech leader\n\n* Strong expertise on building, operating and monitoring large scale multi-tenant systems with high availability, fault tolerance, performance tuning, monitoring, and metrics collection\n\n* Ability to take ownership of realtime production systems - aligning technical with business requirements, raising the bar for operational excellence and on-call incident handling\n\n* Strong expertise in Python and Cloud environments\n\n* Very good grasp of Machine Learning (especially Deep Learning) fundamentals\n\n* Ability to collaborate and communicate effectively in an all-remote setting\n\n* Doing your work with curiosity, ownership, transparency & directness, outcome orientation, and customer empathy.\n\n\n\nBonus\n\n\n* Experience with building applications that can be deployed in cloud, as well as in hybrid or on-prem environment\n\n* Exposure to Reinforcement Learning or other in-depth knowledge on modern ML applications\n\n* Experience with industrial applications, industrial control systems, IoT, sensor time series applications, or similar\n\n\n\nRelevant Technologies from our Stack\n\n\n* Python, Go\n\n* PyTorch, PyTorch Lightning\n\n* Ray.io, Prefect, mlflow\n\n* REST & gRPC micro-services\n\n* Docker, Kubernetes, Terraform & Kapitan\n\n* GCP - GKE, PubSub, CloudSQL, BigTable, Postgres, etc.\n\n* Grafana Cloud, Prometheus\n\n* Poetry, Pants\n\n* Gitlab CI, ArgoCD, Atlantis\n\n\n\nGeneral Interview Process\n\nAll of our interviews are held via Google Meet, and an active camera connection is required.\n\n* \n\nMeeting with Operations (30 minutes): The purpose of this interview is to meet you, learn more about your background, discuss what you are looking for in a new position and cover formalities around your application.\n\n\n* \n\nTech Lead interview (60 minutes): This interview is a combination of technical and cultural fit assessment. We will cover your technical experience and the skills as an engineer and a tech lead while discussing projects that you have worked on in the past. You will meet the manager for the role as well as our VP of Engineering, with the opportunity to ask any questions about the team, role and engineering at Phaidra.\n\n\n* \n\nML system design & SRE (90 minutes): In this interview, we will go over a real world MLOps problem. You can expect to draw architecture diagrams using boxes & arrows in your browser. We will talk about system design, scalability and monitoring\n\n\n* \n\nML interview (60 minutes): This interview will focus on Machine Learning approaches, algorithms and theory. You will be asked about ML algorithms you are familiar with, how they work under the hood and how to use them in an applied setting.\n\n\n* \n\nCulture fit interview with Phaidra’s co-founders (30 minutes): This interview focuses on alignment with Phaidra’s values and the mutual cultural fit.\n\n\n\nBase Salary\n\n\n* US Residents: $156,000-$234,000/year\n\n* UK Residents: £108,000-£162,000/year\n\n\n\n\nSalary ranges for EU countries will vary based on the market rate for the location.\n\nThis position will also include equity.\n\nThese are best faith estimates of the base salary range for this position. Multiple factors such as experience, education, level, and location are taken into account when determining compensation.\nBenefits & Perks\n\n\n* Fast-paced and team-oriented environment where you will be instrumental in the direction of the company.\n\n* Phaidra is a 100% remote company with a digital nomad policy.\n\n* Competitive compensation & equity.\n\n* Outsized responsibilities & professional development.\n\n* Training is foundational; functional, customer immersion, and development training.\n\n* Medical, dental, and vision insurance (exact benefits vary by region).\n\n* Unlimited paid time off, with a minimum of 20 days off per year requirement.\n\n* Paid parental leave (exact benefits vary by region).\n\n* Home office setup allowance and company MacBook.\n\n* Monthly remote work stipend.\n\n\n\nOn being Remote\n\nWe are thoughtful about remote collaboration. We look to the pioneers - like Gitlab - for inspiration and best practices to create a stellar remote work environment. We have a documentation-first culture and actively practice asynchronous communication in everything we do. Our team stays connected through tools like Slack and video chat. Most teams meet daily, and we have dedicated all-hands meetings bi-weekly to build strong relationships. We hold virtual team building events once per month - and even hold virtual socials to watch rocket launches! We have a yearly in-person, all-company summit in locations like Seattle, Athens, Goa, and Barcelona.\nEqual Opportunity Employment\n\nPhaidra is an Equal Opportunity Employer; employment with Phaidra is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We welcome diversity and strive to maintain an inclusive environment for all employees. If you need assistance with completing the application process, please contact us at [email protected].\nE-Verify Notice\n\nPhaidra participates in E-Verify, an employment authorization database provided through the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA). As required by law, we will provide the SSA and, if necessary, the DHS, with information from each new employee’s Form I-9 to confirm work authorization for those residing in the United States.\n\nAdditional information about E-Verify can be found here.\n\n#LI-Remote\n\nWE DO NOT ACCEPT APPLICATIONS FROM RECRUITERS.\n\n  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, DevOps, Cloud, API, Engineer and Backend jobs that are similar:\n\n $70,000 — $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\nSeattle, Washington, United States

\nAbout the Role\n\nCrowdStrike Falcon Host is a two-component security product. One component is a “sensor”: a driver installed on client machines that observes system activity and recognizes malicious behavior, then provides on-box prevention capability and remote telemetry to the Falcon Host cloud. The sensor processes thousands of events per second to provide deep visibility into operations on the endpoint, and performs rich correlation and computation to identify malicious events and blocks malicious activity.\n\n\nThe cloud component aggregates sensor telemetry for each customer’s network, correlates malicious behavior across multiple machines, and presents our customers’ operations teams with a prioritized summary of the threats detected in their environments.\n\n\nJoin CrowdStrike and become a key leader building the most innovative endpoint security solution in the world. Our sensor development team is responsible for building the endpoint mobile sensor, deployed on multiple platforms including Android, and iOS. As a Senior Software Engineer, you will be expected to make significant contributions to the design and implementation of major development projects.  You will be required to identify solutions and collaborate with others to implement our features. You will work on stimulating problems borne out of the scale of our deployment and the stringent performance and security requirements of our sensors. \n\n\nThis position is open to candidates in Bucharest (Office and Remote), Brasov, Cluj and Isai (Remote).\n\n\nResponsibilities\n\n\n* Provide key contribution on the sensor development team involved in architecture, in implementation, and improvements to next generation Anti-Virus and Enhanced Detection and Response Security Software.\n\n* Develop features from design to delivery including participation in product demo at the end of the sprint.\n\n* Collaborate with multi-functional teams in various locations.\n\n* Devise innovative solutions to hard performance or scale problems.\n\n* Maintain the sensor up-to-date with the latest OS developments and patches.\n\n\n\n\n\nWhat You’ll Need \n\n\n* Experience designing and producing high quality software\n\n* Able to lead, mentor, communicate, collaborate, and work effectively in a distributed team.\n\n* Low-level OS knowledge in either Linux or Android or iOS\n\n* Extensive experience with C++, Java and System Development\n\n\n\n\n\nBonus Points \n\n\n* Strong background in scalable systems\n\n* Familiarity and experience with Agile process\n\n* OS system expertise for core concepts and subsystems\n\n* Familiarity with DevOps practices and technologies\n\n* Familiarity with Python and Bash\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Android, Engineer, DevOps, Java, Cloud, Python, Mobile and Linux jobs that are similar:\n\n $70,000 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nAbout the Role:\n\nCrowdStrike Falcon Host is a two-component security product. One component is a “sensor”: a driver installed on client machines that observes system activity and recognizes malicious behavior, then provides on-box prevention capability and remote telemetry to the Falcon Host cloud. The sensor processes thousands of events per second to provide deep visibility into operations on the endpoint, and performs rich correlation and computation to identify malicious events and blocks malicious activity.\n\nThe cloud component aggregates sensor telemetry for each customer’s network, correlates malicious behavior across multiple machines, and presents our customers’ operations teams with a prioritized summary of the threats detected in their environments.\n\nJoin CrowdStrike and become a key leader building the most innovative endpoint security solution in the world. Our sensor development team is responsible for building the endpoint sensor, deployed on multiple platforms including Windows, Mac, and Linux. As Senior Software Engineer, you will be expected to make significant contributions to the design and implementation of major development projects.  You will be required to identify solutions and collaborate with others to implement our features. You will work on stimulating problems borne out of the scale of our deployment and the stringent performance and security requirements of our sensors. \n\nResponsibilities:\n\n\n* Provide key contribution on the sensor development team involved in architecture, in implementation, and improvements to next generation Anti-Virus and Enhanced Detection and Response Security Software.\n\n* Develop features from design to delivery including participation in product demo at the end of the sprint.\n\n* Collaborate with multi-functional teams in various locations.\n\n* Devise innovative solutions to hard performance or scale problems.\n\n* Maintain the sensor up-to-date with the latest OS developments and patches.\n\n\n\n\nWhat You’ll Need:\n\n\n* Experience designing and producing high quality software\n\n* Able to lead, mentor, communicate, collaborate, and work effectively in a distributed team.\n\n* Low-level OS knowledge in either Linux or iOS or Android\n\n* Extensive experience with C++, Java and System Development\n\n\n\n\nBonus Points:\n\n\n* Strong background in scalable systems\n\n* Familiarity and experience with Agile process\n\n* OS system expertise for core concepts and subsystems\n\n* Familiarity with DevOps practices and technologies\n\n* Familiarity with Python and Bash\n\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Android, Engineer, DevOps, Java, Cloud, Python 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