\nAbout the Role: \n\nWe are building our documentation team and are looking for a Technical Writer to help lead the end-to-end vision, strategy, and implementation of Redpanda products. Reporting to the Technical Writing Manager, you will document multiple functional areas of Redpanda products, including all aspects of security, data balancing, and cluster configuration. You will advocate for the user experience of our products (including the core streaming platform and cloud SaaS areas), spearhead a user-centric approach, and help lead product strategy. You will be a foundational member of the documentation team, helping to build processes, and drive strategy. This is an opportunity to work closely with product and engineering leadership and teams at a fast-growing, well-funded startup.\n\nYou Will:\n\n\n* Collaborate with engineering teams to discuss technologies and workflows, and create top-notch documentation\n\n* Write, format, and edit content, including security configurations, cluster configuration, and Redpanda Cloud content\n\n* Contribute to web content design–a content design background is a plus\n\n* Facilitate knowledge sharing throughout our engineering, product management, and design teams and help produce accurate, well-written communications\n\n* Partner with content specialists to define documentation standards and best practices\n\n* Participate in assessing and proposing software and methods to continuously improve our documentation processes\n\n* Write and revise content/test features with the customer experience as the primary driver\n\n* Engage in community discussions with OSS, prospective, and paying customers\n\n* Be part of a diverse remote distributed team\n\n\n\n\nYou Have:\n\n\n* 4+ years of experience writing technical documentation for an external developer audience\n\n* Familiarity with basic software security fundamentals \n\n* Ability to distill complex technical concepts into clear, comprehensive, developer-focused documentation\n\n* Recent experience working in a docs-as-code environment \n\n* Understand and have worked on Git, open-source development, Asciidoc/Antora, front-end web development\n\n* Experience working with open source technologies and communities\n\n* Read and code in languages such as Java, golang or Python, and YAML–familiarity with data streaming and/or Apache Kafka a plus\n\n* Excellent information architecture and information design skills\n\n* Familiar working with Apache Kafka® (event streaming), databases, or distributed systems\n\n* Rabid desire to help our customers get the information they need quickly and easily\n\n* Excellent writing, editing, and verbal communication skills\n\n\n\n\n \n\nU.S. base salary range for this role is $144,000 - $170,000 (CA, NY, WA) and  $125,000 - $148,000 (other US locations). Our salary ranges are determined by role, level, and location. As a remote-first company, we strive to consider each candidate's job-related skills, location, experience, relevant education or training to determine individual base salary. Your talent partner will share more about the specific salary range for your preferred location during the hiring process. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, SaaS, Writer, Education, Cloud and Golang jobs that are similar:\n\n $65,000 — $95,000/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\nSan Francisco, California, United States

\nAbout Us\n\nAt People Data Labs, we’re committed to democratizing access to high-quality B2B data and leading the emerging DaaS economy. We empower developers, engineers, and data scientists to create innovative, compliant data products at scale with our clean, easy-to-use datasets of resume, company, location, and education data consumed through our suite of APIs. \n\nPDL is an innovative, fast-growing, global team backed by world-class investors, including Craft Ventures, Flex Capital, and Founders Fund. We scour the world for people hungry to improve, curious about how things work, and willing to challenge the status quo to build something new and better.\n\nRoles & Responsibilities:\n\n\n* Analyzing data using statistical techniques and tools to identify anomalous data, clean data, and derive meaningful insights and trends. \n\n* Ensuring data integrity, accuracy, and completeness throughout the analysis process.\n\n* Generate, maintain, and update dashboard reports using our business intelligence tool, highlighting key findings and trends.\n\n* Develop and maintain databases, data systems, and data analytics pipelines within database management systems.\n\n* Work with stakeholders in Engineering, Product, and Revenue to assist with data-related technical issues and support their data infrastructure and analytics needs.\n\n* Ensure the integrity and consistency of database schemas, including managing updates, version control, and documenting schema changes to support data analysis and reporting requirements.\n\n* Responsible for assistance and further development of our quality assurance process.\n\n\n\n\nTechnical Requirements\n\n\n* 3-5+ years industry experience with clear examples of strategic and analytical technical problem solving and implementation\n\n* Strong software development and analytics fundamentals\n\n* Expertise in with SQL & Python\n\n* Experience with Apache Spark or PySpark\n\n* Experience with data cleaning and data processing (e.g., cleaning, transformation) using SQL and Python.\n\n* Knowledge of modern data design and storage patterns (e.g., incremental updating, partitioning and segmentation, rebuilds and backfills)\n\n* Experience working in Databricks (including delta live tables, data lakehouse patterns, etc.)\n\n* Experience with cloud computing services (AWS (preferred), GCP, Azure or similar)\n\n* Experience with data warehousing (e.g., Databricks, Snowflake, Redshift, BigQuery, or similar)\n\n* Understanding of modern data storage formats and tools (e.g., parquet, ORC, Avro, Delta Lake)\n\n\n\n\nProfessional Requirements\n\n\n* Must thrive in a fast paced environment and be able to work independently\n\n* Can work effectively remotely (able to be proactive about managing blockers, proactive on reaching out and asking questions, and participating in team activities)\n\n* Strong written communication skills on Slack/Chat and in documents\n\n* You are experienced in writing data design docs (pipeline design, dataflow, schema design)\n\n* You can scope and breakdown projects, communicate and collaborate progress and blockers effectively with your manager, team, and stakeholders\n\n* Experience collaborating with Product and Engineering teams\n\n\n\n\nNice To Haves:\n\n\n* Degree in a quantitative discipline such as computer science, mathematics, statistics, or engineering\n\n* Experience working with business intelligence tools and dashboard creation\n\n* Experience working with data acquisition / data integration\n\n* Expertise with Python and the Python data stack (e.g., numpy, pandas, PySpark)\n\n* Experience evaluating data quality and maintaining consistently high data standards across new feature releases (e.g., consistency, accuracy, validity, completeness)\n\n\n\n\nOur Benefits\n\n\n* Stock\n\n* Competitive Salaries\n\n* Unlimited paid time off\n\n* Medical, dental, & vision insurance \n\n* Health, fitness, and office stipends\n\n* The permanent ability to work wherever and however you want\n\n\n\n\nNo C2C, 1099, or Contract-to-Hire. Recruiters need not apply.\n\nPeople Data Labs does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Education and Cloud jobs that are similar:\n\n $65,000 — $95,000/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\nSan Francisco, California, United States

\nAbout Us\n\nAt People Data Labs, we’re committed to democratizing access to high-quality B2B data and leading the emerging DaaS economy. We empower developers, engineers, and data scientists to create innovative, compliant data products at scale with our clean, easy-to-use datasets of resume, company, location, and education data consumed through our suite of APIs. \n\nPDL is an innovative, fast-growing, global team backed by world-class investors, including Craft Ventures, Flex Capital, and Founders Fund. We scour the world for people hungry to improve, curious about how things work, and willing to challenge the status quo to build something new and better.\n\nRoles & Responsibilities:\n\n\n* Build infrastructure for ingestion, transformation, and loading an exponentially increasing volume of data from a variety of sources using Spark, SQL, AWS, and Databricks\n\n* Building an organic entity resolution framework capable of correctly merging hundreds of billions of individual entities into a number of clean, consumable datasets.\n\n* Developing CI/CD pipelines and anomaly detection systems capable of continuously improving the quality of data we're pushing into production.\n\n* Devising solutions to largely-undefined data engineering and data science problems.\n\n* Work with stakeholders in Engineering and Product to assist with data-related technical issues and support their infrastructure needs\n\n\n\n\nTechnical Requirements\n\n\n* 5-7+ years industry experience with clear examples of strategic technical problem solving and implementation\n\n* Strong software development fundamentals.\n\n* Experience withPython Expertise with Apache Spark (Java, Scala, and/or Python-based)\n\n* Experience with SQL\n\n* Experience building scalable data processing systems (e.g., cleaning, transformation)  from the ground up.\n\n* Experience using developer-oriented data pipeline and workflow orchestration (e.g., Airflow (preferred), dbt, dagster or similar)\n\n* Knowledge of modern data design and storage patterns (e.g., incremental updating, partitioning and segmentation, rebuilds and backfills)\n\n* Experience working in Databricks (including delta live tables, data lakehouse patterns, etc.)\n\n* Experience with cloud computing services (AWS (preferred), GCP, Azure or similar)\n\n* Experience with data warehousing (e.g., Databricks, Snowflake, Redshift, BigQuery, or similar)\n\n* Understanding of modern data storage formats and tools (e.g., parquet, ORC, Avro, Delta Lake)\n\n\n\n\nProfessional Requirements\n\n\n* Must thrive in a fast paced environment and be able to work independently\n\n* Can work effectively remotely (able to be proactive about managing blockers, proactive on reaching out and asking questions, and participating in team activities)\n\n* Strong written communication skills on Slack/Chat and in documents\n\n* You are experienced in writing data design docs (pipeline design, dataflow, schema design)\n\n* You can scope and breakdown projects, communicate and collaborate progress and blockers effectively with your manager, team, and stakeholders\n\n\n\n\nNice To Haves:\n\n\n* Degree in a quantitative discipline such as computer science, mathematics, statistics, or engineering\n\n* Experience working with entity data (entity resolution / record linkage)\n\n* Experience working with data acquisition / data integration\n\n* Expertise with Python and the Python data stack (e.g., numpy, pandas)\n\n* Experience with streaming platforms (e.g., Kafka)\n\n* Experience evaluating data quality and maintaining consistently high data standards across new feature releases (e.g., consistency, accuracy, validity, completeness)\n\n\n\n\nOur Benefits\n\n\n* Stock\n\n* Competitive Salaries\n\n* Unlimited paid time off\n\n* Medical, dental, & vision insurance \n\n* Health, fitness, and office stipends\n\n* The permanent ability to work wherever and however you want\n\n\n\n\nNo C2C, 1099, or Contract-to-Hire. Recruiters need not apply.\n\nPeople Data Labs does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Education, Cloud, Senior and Engineer jobs that are similar:\n\n $65,000 — $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\nSan Francisco, California, United States

\nLeading the future in luxury electric and mobility\nAt Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.\n \nWe plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.\n \nCome work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.\n\n\n\nThe Role:\n* Sr. Principal Big Data Software Architect to implement a highly scalable system to ingest and process Petabytes of data per day.  \n* Hands-on design and development of streaming data pipeline and data management.  \n* Implement and manage industry best practice tools and processes such as Data Lake, Iceberg, Spark ETL, Airflow, Kafka, MQTT, Timeseries Database, Trino, Kubernetes, Docker, CI/CD, DevOps\n* Contribute to the overall architecture, implementation, and ongoing maintenance of our codebase\n* Optimize the performance and scale our data ingestion and processing infrastructure to server ever-increasing volume.\n\n\n\nQualifications:\n* Bachelor or Masters in Software Engineering and Computer Science \n* 15+ years of experience in the design and development of large scale data platforms \n* Experienced in Spark development with PySpark or Scala \n* Experienced in Data Lake, Parquet, ORC, or Similar Technologies\n* Experienced in containerization, including Docker and Kubernetes \n* Experienced in Data streaming platforms such as Apache Kafka, and Spark Streaming\n* Expert in designing and implementing reliable, scalable, and performant distributed systems and data pipelines \n* Extensive programming and software engineering  experience, especially in Scala, Python, and/or C++ \n* Experience with running large-scale distributed computing infrastructure such as load balancing, Zookeeper, Microservice architecture    \n* Experience with managing distributed databases like Elasticsearch, Cassandra  \n* Great verbal and written communication skills.  \n\n\n\n\n\nSalary Range: The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors.\n\n\n· California (Bay Area) - $177,000 - $253,000\n\n\nAdditional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)\n\n\nLucid maintains your privacy according to its Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice. \n\n\nAt Lucid, we don’t just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations.\n \nTo all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Docker and Education jobs that are similar:\n\n $40,000 — $75,000/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\nNewark, CA

\nLeading the future in luxury electric and mobility\nAt Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.\n \nWe plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.\n \nCome work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.\n\n\n\nThe Role:\n* Sr. Principal Big Data Software Architect to implement a highly scalable system to ingest and process Petabytes of data per day.  \n* Hands-on design and development of streaming data pipeline and data management.  \n* Implement and manage industry best practice tools and processes such as Data Lake, Iceberg, Spark ETL, Airflow, Kafka, MQTT, Timeseries Database, Trino, Kubernetes, Docker, CI/CD, DevOps\n* Contribute to the overall architecture, implementation, and ongoing maintenance of our codebase\n* Optimize the performance and scale our data ingestion and processing infrastructure to server ever-increasing volume.\n\n\n\nQualifications:\n* Bachelor or Masters in Software Engineering and Computer Science \n* 15+ years of experience in the design and development of large scale data platforms \n* Experienced in Spark development with PySpark or Scala \n* Experienced in Data Lake, Parquet, ORC, or Similar Technologies\n* Experienced in containerization, including Docker and Kubernetes \n* Experienced in Data streaming platforms such as Apache Kafka, and Spark Streaming\n* Expert in designing and implementing reliable, scalable, and performant distributed systems and data pipelines \n* Extensive programming and software engineering  experience, especially in Scala, Python, and/or C++ \n* Experience with running large-scale distributed computing infrastructure such as load balancing, Zookeeper, Microservice architecture    \n* Experience with managing distributed databases like Elasticsearch, Cassandra  \n* Great verbal and written communication skills.  \n\n\n\n\n\nSalary Range: The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors.\n\n\n· California (Bay Area) - $177,000 - $253,000\n\n\nAdditional Compensation and Benefits: Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs. (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.)\n\n\nLucid maintains your privacy according to its Candidate Privacy Notice. If you are a California resident, please refer to our California Candidate Privacy Notice. \n\n\nAt Lucid, we don’t just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations.\n \nTo all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Docker and Education jobs that are similar:\n\n $40,000 — $75,000/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\nNewark, CA