\nSummary:\n\nWe are looking for a Senior Java DevOps Engineer to join Selerity’s team, scaling up an A.I. driven analytics and recommendation platform and integrating it into enterprise workflows.  Highly competitive compensation plus significant opportunities for professional growth and career advancement.\n\nEmployment Type: Contract or Full-time\n\nLocation is flexible: We have offices in New York City and Oak Park, Illinois (Chicago suburb) but about half of our team currently works remotely from various parts of Europe, North America, and Asia.  \n\nJob Description:\n\nWant to change how the world engages with chat, research, social media, news, and data?\n\nSelerity has dominated ultra-low-latency data science in finance for almost a decade.  Now our real-time content analytics and contextual recommendation platform is gaining broader traction in enterprise and media applications.  We're tackling big challenges in predictive analytics, conversational interfaces, and workflow automation and need your help!\n\nWe’re looking for an experienced DevOps Engineer to join a major initiative at a critical point in our company’s growth, assisting in the architecture, development, and maintenance of our stack.  The majority of Selerity’s applications are developed in Java and C++ on Linux but knowledge of other languages (especially Python, JavaScript, and Scala), platforms and levels of the stack is very helpful.\n\nMust-haves:\n\n * Possess a rock-solid background in Computer Science (minimum BS in Comp Sci or related field) + at least 5 years (ideally 10+) of challenging work experience.\n\n * Implementation of DevOps / SRE processes at scale including continuous integration (preferred: Jenkins), automated testing, and platform monitoring (preferred: JMX, Icinga, Grafana, Graphite).\n\n * Demonstrated proficiency building and modifying Java applications in Linux environments (using Git, SVN), and ideally also a C++ developer.\n\n * Significant orchestration expertise with the Ansible (preferred), Chef, or Puppet deployment automation system in a Cloud environment (at least a dozen servers, ideally more).\n\n * Direct experience in the design, implementation, and maintenance of SaaS APIs in Java that are minimal, efficient, scalable, and supportable throughout their lifecycle (OpenLDAP).\n\n * Solid track record of making effective design decisions balancing near-term and long-term objectives.\n\n * Know when to use commercial or open-source solutions, when to delegate to a teammate, and when to roll up your sleeves and code it yourself.\n\n * Work effectively in agile teams with remote members; get stuff done with minimal guidance and zero BS, help others, and know when to ask for help.\n\n * Clearly communicate complex technical and product issues to non-technical team members, managers, clients, etc.  \n\n\n\nNice-to-haves:\n\n * Proficiency with Cisco, Juniper, and other major network hardware platforms, as well as ISO layer 1 and 2 protocols.\n\n * Experience with Internet routing protocols such as BGP.\n\n * Implementation of software defined networking or other non-traditional networking paradigms.\n\n * Proficiency with SSL, TLS, PGP, and other standard crypto protocols and systems.\n\n * Full-stack development and operations experience with web apps on Node.js.\n\n * Experience with analytics visualization libraries.\n\n * Experience with large-scale analytics and machine learning technologies including TensorFlow/Sonnet, Torch, Caffe, Spark, Hadoop, cuDNN, etc. running in production.\n\n * Conversant with relational, column, object, and graph database fundamentals and strong practical experience in any of those paradigms.\n\n * Deep understanding of how to build software agents and conversational workflows.\n\n * Experience with additional modern programming languages (Python, Scala, …)\n\n\n\nOur stack:\n\n* Java, C++, Python, JavaScript/ECMAscript + Node, Angular, RequireJS, Electron, Scala, etc.\n\n* A variety of open source and in-house frameworks for natural language processing and machine learning, including artificial neural networks / deep learning.\n\n* Hybrid of AWS (EC2, S3, RDS, R53) + dedicated datacenter network, server and GPU/coprocessor infrastructure.\n\n* Cassandra, Aurora plus in-house streaming analytics pipeline (similar to Apache Flink) and indexing/query engine (similar to ElasticSearch).\n\n* In-house messaging frameworks for low-latency (sub-microsecond sensitivity) multicast and global-scale TCP (similarities to protobufs/FixFast/zeromq/itch).\n\n* Ansible, Git, Subversion, PagerDuty, Icinga, Grafana, Observium, LDAP, Jenkins, Maven, Purify, VisualVM, Wireshark, Eclipse, Intellij.\n\nThis position offers a great opportunity to work with advanced technologies, collaborate with a top-notch, global team, and disrupt a highly visible, multi-billion-dollar market.  \n\n\n\nCompensation:\n\nWe understand how to attract and retain the best talent and offer a competitive mix of salary, benefits and equity.  We also understand how important it is for you to feel challenged, to have opportunities to learn new things, to have the flexibility to balance your work and personal life, and to know that your work has impact in the real world.\n\nWe have team members on four continents and we're adept at making remote workers feel like part of the team.  If you join our NYC main office be sure to bring your Nerf toys, your drones and your maker gear - we’re into that stuff, too.\n\nInterview Process:\n\nIf you can see yourself at Selerity, send your resume and/or online profile (e.g. LinkedIn) to [email protected].  We’ll arrange a short introductory phone call and if it sounds like there’s a match we'll arrange for you to meet the team for a full interview.  \n\nThe interview process lasts several hours and is sometimes split across two days on site, or about two weeks with remote interviews.  It is intended to be challenging - but the developers you meet and the topics you’ll be asked to explain (and code!) should give you a clear sense of what it would be like to work at Selerity.  \n\nWe value different perspectives and have built a team that reflects that diversity while maintaining the highest standards of excellence.  You can rest assured that we welcome talented engineers regardless of their age, gender, sexual orientation, religion, ethnicity or national origin.\n\nRecruiters: Please note that we are not currently accepting referrals from recruiters for this position. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to DevOps, Java, Senior, Engineer, Crypto, Finance, Cloud, SaaS, Apache 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

\nSenior Machine Learning Engineer\n\nSummary:\n\nSenior Machine Learning Engineer to join Selerity’s team, scaling up an A.I. driven analytics and recommendation platform and integrating it into enterprise workflows.  Highly competitive compensation plus significant opportunities for professional growth and career advancement.\n\nEmployment Type: Contract or Full-time\n\nLocation is flexible: We have offices in New York City and Oak Park, Illinois (Chicago suburb) but about half of our team currently works remotely from various parts of Europe, North America, and Asia.  \n\n\nJob Description:\n\nWant to change how the world engages with chat, research, social media, news, and data?\n\nSelerity has dominated ultra-low-latency data science in finance for almost a decade.  Now our real-time content analytics and contextual recommendation platform is gaining broader traction in enterprise and media applications.  We're tackling big challenges in predictive analytics, conversational interfaces, and workflow automation and need your help!\n\nWe’re looking for an experienced Machine Learning Engineer to join a major initiative at a critical point in our company’s growth.  This is a hands-on role, applying the latest technology in natural language processing and machine learning (including deep learning) to real-world problems in capital markets, institutional research, financial news, and social media.  Machines are playing an ever-increasing role in finance and we're leading that trend.\n\n\nMust-haves:\n\n* Possess a rock-solid background in Computer Science (minimum BS in Comp Sci or related field) + at least 5 years (ideally 10+) of challenging work experience.\n\n* Rigorous understanding of data science foundations and theory including algorithms, statistics, experimental setup, etc.\n\n* Experience applying NLP and/or machine learning to large-scale datasets, especially text.\n\n* Experience with large-scale analytics and machine learning technologies including TensorFlow/Sonnet, Torch, Caffe, Spark, Hadoop, cuDNN, etc.\n\n* Advanced proficiency working in Java in Linux environments.\n\n* Significant operational experience with deploying, monitoring, and maintaining large-scale A.I. applications in production environments.  Not just research and prototypes.\n\n* Solid track record of making effective design decisions balancing near-term and long-term objectives.\n\n* Know when to use commercial or open-source solutions, when to delegate to a teammate, and when to roll up your sleeves and code it yourself.\n\n* Work effectively in agile teams with remote members; get stuff done with minimal guidance and zero BS, help others, and know when to ask for help.\n\n* Clearly communicate complex technical and product issues to non-technical team members, managers, clients, etc.  \n\n\nNice-to-haves:\n\n* Advanced degree (MS/PhD) in a quantitative field such as Computer Science or Statistics.\n\n* Proficiency in C++, Python, Scala, or other commonly-used languages.\n\n* Experience with analytics visualization libraries.\n\n* Conversant with relational, column, object, and graph database fundamentals and strong practical experience in any of those paradigms.\n\n* Deep understanding of how to build software agents and conversational workflows.\n\n* Knowledge of capital markets concepts, entities, and processes.\n\n\nOur stack:\n\n* Java, C++, Python, JavaScript/ECMAscript + Node, Angular, Electron, Scala, etc.\n\n* A variety of open source and in-house frameworks for natural language processing and machine learning including artificial neural networks / deep learning.\n\n* Hybrid of AWS (EC2, S3, RDS, R53) + dedicated datacenter network, server and GPU/coprocessor infrastructure.\n\n* Cassandra, Aurora plus in-house streaming analytics pipeline (similar to Apache Flink) and indexing/query engine (similar to ElasticSearch).\n\n* In-house messaging frameworks for low-latency (sub-microsecond sensitivity) multicast and global-scale TCP (similarities to protobufs/FixFast/zeromq/itch).\n\n* Ansible, Git, Subversion, PagerDuty, Icinga, Grafana, Observium, LDAP, Jenkins, Maven, Purify, VisualVM, Wireshark, Eclipse, IntelliJ.\n\nThis position offers a great opportunity to work with advanced technologies, collaborate with a top-notch, global team, and disrupt a highly visible, multi-billion-dollar market.  \n\n\n\nCompensation:\n\nWe understand how to attract and retain the best talent and offer a competitive mix of salary, benefits and equity.  We also understand how important it is for you to feel challenged, to have opportunities to learn new things, to have the flexibility to balance your work and personal life, and to know that your work has impact in the real world.\n\nWe have team members on four continents and we're adept at making remote workers feel like part of the team.  If you join our NYC main office be sure to bring your Nerf toys, your drones and your maker gear - we’re into that stuff, too.\n\n\n\nInterview Process:\n\nIf you can see yourself at Selerity, send your resume and/or online profile (e.g. LinkedIn) to [email protected].  We’ll arrange a short introductory phone call and if it sounds like there’s a match we'll arrange for you to meet the team for a full interview.  \n\nThe interview process lasts several hours and is sometimes split across two days on site, or about two weeks with remote interviews.  It is intended to be challenging - but the developers you meet and the topics you’ll be asked to explain (and code!) should give you a clear sense of what it would be like to work at Selerity.  \n\nWe value different perspectives and have built a team that reflects that diversity while maintaining the highest standards of excellence.  You can rest assured that we welcome talented engineers regardless of their age, gender, sexual orientation, religion, ethnicity or national origin.\n\n\n\n\n\nRecruiters: Please note that we are not currently accepting referrals from recruiters for this position. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Machine Learning, Senior, Engineer, Finance, Java, Apache 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

\nSummary:\n\nWe are looking for a Senior DevOps (Site Reliability) Engineer to join Selerity’s team, scaling up an A.I. driven analytics and recommendation platform and integrating it into enterprise workflows.  Highly competitive compensation plus significant opportunities for professional growth and career advancement.\n\nEmployment Type: Contract or Full-time\n\nLocation is flexible: We have offices in New York City and Oak Park, Illinois (Chicago suburb) but about half of our team currently works remotely from various parts of Europe, North America, and Asia.  \n\n\nJob Description:\n\nWant to change how the world engages with chat, research, social media, news, and data?\n\nSelerity has dominated ultra-low-latency data science in finance for almost a decade.  Now our real-time content analytics and contextual recommendation platform is gaining broader traction in enterprise and media applications.  We're tackling big challenges in predictive analytics, conversational interfaces, and workflow automation and need your help!\n\nWe’re looking for an experienced DevOps (Site Reliability) Engineer to join a major initiative at a critical point in our company’s growth.  The majority of Selerity’s applications are developed in Java and C++ on Linux but knowledge of other languages (especially Python and JavaScript), platforms and levels of the stack is very helpful.\n\n\n\nMust-haves:\n\n  * Possess a rock-solid background in Computer Science (minimum BS in Comp Sci or related field) + at least 5 years (ideally 10+) of challenging work experience.\n\n  * Implementation of DevOps / SRE processes at scale including continuous integration (preferred: Jenkins), automated testing, and platform monitoring (preferred: JMX, Icinga, Grafana, Graphite).\n\n  * Demonstrated proficiency building and modifying Java and C++ applications in Linux environments (using Git, SVN). \n\n  * Significant operations expertise with the Ansible (preferred), Chef, or Puppet deployment automation system in a Cloud environment.\n\n  * Direct experience in the design, implementation, and maintenance of SaaS APIs that are minimal, efficient, scalable, and supportable throughout their lifecycle (OpenLDAP).\n\n  * Solid track record of making effective design decisions balancing near-term and long-term objectives.\n\n  * Know when to use commercial or open-source solutions, when to delegate to a teammate, and when to roll up your sleeves and code it yourself.\n\n  * Work effectively in agile teams with remote members; get stuff done with minimal guidance and zero BS, help others, and know when to ask for help.\n\n  * Clearly communicate complex technical and product issues to non-technical team members, managers, clients, etc.  \n\n\n\nNice-to-haves:\n\n  * Proficiency with Cisco, Juniper, and other major network hardware platforms, as well as ISO layer 1 and 2 protocols.\n\n  * Experience with Internet routing protocols such as BGP.\n\n  * Implementation of software defined networking or other non-traditional networking paradigms.\n\n  * Proficiency with SSL, TLS, PGP, and other standard crypto protocols and systems.\n\n  * Full-stack development and operations experience with web apps on Node.js.\n\n  * Experience with analytics visualization libraries.\n\n  * Experience with large-scale analytics and machine learning technologies including TensorFlow/Sonnet, Torch, Caffe, Spark, Hadoop, cuDNN, etc.\n\n  * Conversant with relational, column, object, and graph database fundamentals and strong practical experience in any of those paradigms.\n\n  * Deep understanding of how to build software agents and conversational workflows.\n\n  * Experience with additional modern programming languages (Python, Scala, …)\n\n\n\nOur stack:\n\n * Java, C++, Python, JavaScript/ECMAscript + Node, Angular, RequireJS, Electron, Scala, etc.\n\n * A variety of open source and in-house frameworks for natural language processing and machine learning including artificial neural networks / deep learning.\n\n * Hybrid of AWS (EC2, S3, RDS, R53) + dedicated datacenter network, server and GPU/coprocessor infrastructure.\n\n * Cassandra, Aurora plus in-house streaming analytics pipeline (similar to Apache Flink) and indexing/query engine (similar to ElasticSearch).\n\n * In-house messaging frameworks for low-latency (sub-microsecond sensitivity) multicast and global-scale TCP (similarities to protobufs/FixFast/zeromq/itch).\n\n * Ansible, Git, Subversion, PagerDuty, Icinga, Grafana, Observium, LDAP, Jenkins, Maven, Purify, VisualVM, Wireshark, Eclipse, Intellij.\n\nThis position offers a great opportunity to work with advanced technologies, collaborate with a top-notch, global team, and disrupt a highly visible, multi-billion-dollar market.  \n\n\n\nCompensation:\n\nWe understand how to attract and retain the best talent and offer a competitive mix of salary, benefits and equity.  We also understand how important it is for you to feel challenged, to have opportunities to learn new things, to have the flexibility to balance your work and personal life, and to know that your work has impact in the real world.\n\nWe have team members on four continents and we're adept at making remote workers feel like part of the team.  If you join our NYC main office be sure to bring your Nerf toys, your drones and your maker gear - we’re into that stuff, too.\n\n\nInterview Process:\n\nIf you can see yourself at Selerity, send your resume and/or online profile (e.g. LinkedIn) to [email protected].  We’ll arrange a short introductory phone call and if it sounds like there’s a match we'll arrange for you to meet the team for a full interview.  \n\nThe interview process lasts several hours and is sometimes split across two days on site, or about two weeks with remote interviews.  It is intended to be challenging - but the developers you meet and the topics you’ll be asked to explain (and code!) should give you a clear sense of what it would be like to work at Selerity.  \n\nWe value different perspectives and have built a team that reflects that diversity while maintaining the highest standards of excellence.  You can rest assured that we welcome talented engineers regardless of their age, gender, sexual orientation, religion, ethnicity or national origin.\n\n\n\nRecruiters: Please note that we are not currently accepting referrals from recruiters for this position. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to DevOps, Senior, Crypto, Finance, Java, Cloud, Python, SaaS, Engineer, Apache 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

\nTitle: Senior Software Engineer\n\n\nSummary:\n\nSenior Software Engineer to join team scaling up Selerity’s A.I.-driven analytics and recommendation platform and integrate it into enterprise workflows.  Highly competitive compensation plus significant opportunities for professional growth and career advancement.\n\n\nEmployment Type: Contract or Full-Time\n\n\nLocation is Flexible: New York City (main office), Chicago, or Remote\n\n\nJob Description:\n\nWant to change how the world engages with news and data?\n\nSelerity has dominated ultra-low-latency data science in finance for several years.  Now our real-time content analytics and contextual recommendation platform is gaining broader traction in enterprise and media applications.  We're tackling big challenges in predictive analytics, conversational interfaces, and workflow automation and need your help!\n\nWe’re looking for an experienced developer to join a major initiative at a critical point in our company’s growth.  The majority of the development will be in Java on Linux but knowledge of other languages, platforms and levels of the stack is very helpful.\n\n\nMust-haves:\n\n  * Possess a rock-solid background in Computer Science (minimum BS in Comp Sci or related field) + at least 5 years (ideally 10+) of challenging work experience.\n\n  * Demonstrated expert-level proficiency building systems in Java in Linux environments.  \n\n  * Direct experience in the design, implementation and maintenance of SaaS API's that are minimal, efficient, scalable and supportable throughout their lifecycle.\n\n  * Solid track record of making effective design decisions balancing near-term and long-term objectives.\n\n  * Know when to use commercial or open-source solutions, when to delegate to a teammate, and when to roll up your sleeves and code it yourself.\n\n  * Work effectively in agile teams with remote members; get stuff done with minimal guidance and zero BS, help others, and know when to ask for help.\n\n  * Clearly communicate complex technical and product issues to non-technical team members, managers, clients, etc.  \n\n\nNice-to-haves:\n\n  * Full-stack development and operations experience with web apps on Node.js.\n\n  * Implementation of DevOps / SRE processes at scale including continuous integration, automated testing, and platform monitoring.\n\n  * Experience with analytics visualization libraries.\n\n  * Experience with large-scale analytics and machine learning technologies including TensorFlow/Sonnet, Torch, Caffe, Spark, Hadoop, cuDNN, etc.\n\n  * Conversant with relational, column, object, and graph database fundamentals + strong practical experience in at least two of those paradigms.\n\n  * Implementation of software defined networking or other non-traditional networking paradigms.\n\n  * Deep understanding of how to build software agents and conversational workflows.\n\n  * Experience with additional modern programming languages (Scala, Python, …)\n\n\nOur stack combines leading commercial and open source technologies with  numerous home-grown innovations, including:\n\n * Java, C++, JavaScript/ECMAscript + Node, Angular, RequireJS, Electron, Scala, Python, etc.\n\n * A variety of open source and in-house frameworks for natural language processing and machine learning including artificial neural networks / deep learning.\n\n * Hybrid of AWS (EC2, S3, RDS, R53) + dedicated datacenter network, server and GPU/coprocessor infrastructure.\n\n * Cassandra, Aurora plus in-house streaming analytics pipeline (similar to Apache Flink) and indexing/query engine (similar to ElasticSearch).\n\n * In-house messaging frameworks for low-latency (sub-microsecond sensitivity) multicast and global-scale TCP (similarities to protobufs/FixFast/zeromq/itch).\n\n * Ansible, Git, Subversion, PagerDuty, Icinga, Grafana, Observium, LDAP, Jenkins, Maven, Purify, VisualVM, Wireshark, Eclipse, Intellij \n\nThis position offers a great opportunity to work with advanced technologies, collaborate with a top-notch, global team and disrupt a highly visible, multi-billion-dollar market.  \n\n\nCompensation:\n\nWe understand how to attract and retain the best talent and offer a competitive mix of salary, benefits and equity.  We also understand how important it is for you to feel challenged, to have opportunities to learn new things, to have the flexibility to balance your work and personal life and to know that your work has impact in the real world.  We have team members on four continents and we're adept at making remote workers feel like part of the team.  If you join our NYC main office be sure to bring your Nerf toys, your drones and your maker gear - we’re into that stuff, too.\n\n\nInterview Process:\n\nIf you can see yourself at Selerity, send your resume and/or online profile (e.g. LinkedIn) to [email protected].  We’ll arrange a short introductory phone call and if it sounds like there’s a match we'll arrange for you to meet the team for a full interview.  \n\nThe interview process lasts several hours and is sometimes split across two days.  It is intended to be challenging - but the developers you meet and the topics you’ll be asked to explain (and code!) should give you a very clear sense of what it would be like to work at Selerity.  \n\nWe value different perspectives and have built a team that reflects that diversity while maintaining the highest standards of excellence.  You can rest assured that we welcome talented engineers regardless of their age, gender, sexual orientation, religion, ethnicity or national origin.\n\n\nRecruiters: Please note that we are not currently accepting referrals from recruiters for this position. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Senior, Engineer, Developer, Digital Nomad, DevOps, Finance, Java, SaaS, Apache 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

\nSummary:\n\nSenior Site Reliability Engineer to join team tasked with scaling up Selerity’s platform.  Highly competitive compensation plus significant opportunities for professional growth and career advancement.\n\n\nEmployment Type: Contract\n\n\nLocation is Flexible: New York City (main office), Chicago, or Remote\n\n\nJob Description:\n\nWant to change how the world engages with news and data?\n\nSelerity has dominated ultra-low-latency data science in finance for several years.  Now our real-time content analytics and contextual recommendation platform is gaining broader traction in enterprise and media applications and we need to scale up!  \n\nWe’re looking for an experienced site reliability engineer to join a major initiative at a critical point in our company’s growth.   \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Admin, Senior, Engineer, Sys Admin and Finance 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

\nWant to change how the world engages with news and data?\n\nSelerity has dominated ultra-low-latency data science in finance for several years.  Now our real-time content analytics and contextual recommendation platform is gaining broader traction in media and we need to scale up!  \n\nWe’re looking for an experienced full-stack software engineer to join a major initiative at a critical point in our company’s growth.   \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Senior, Engineer, Developer, Digital Nomad and Finance jobs that are similar:\n\n $60,000 — $130,000/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

\nWant to change how the world engages with news and data?\n\nSelerity has dominated ultra-low-latency data science in finance for several years.  Now our real-time content analytics and contextual recommendation platform is gaining traction across institutional finance and internet media.  At the intersection of these trends is an opportunity to deploy the latest technology and once again leapfrog the competition.\n\nWe’re looking for an experienced software / systems engineer to lead a major new ultra-low-latency initiative at a critical point in our company’s growth.   \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Senior, Engineer, Developer, Digital Nomad and Finance jobs that are similar:\n\n $60,000 — $130,000/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

\nWant to change how the world engages with news and data?\n\nSelerity has dominated ultra-low-latency data science in finance for several years. Now our real-time content analytics and contextual recommendation platform is gaining broader traction in media and we need to scale up! We are working on tough problems in entity and fact extraction, domain-specific semantic relevance, topic classification, on-line clustering, behavioral analysis, collaborative filtering and contextual recommendation. We need to achieve unprecedented accuracy across a variety of languages, media types and problem domains -- all in real-time and at rapidly increasing scale.\n\nWe’re looking for an experienced, hands-on data scientist to join a major initiative at a critical point in our company’s growth. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Senior, Finance and Non Tech jobs that are similar:\n\n $65,000 — $122,500/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

\nWant to change how the world engages with news and data?\n\nSelerity has dominated ultra-low-latency data science in finance for several years. Now our real-time content analytics and contextual recommendation platform is gaining broader traction in media and we need to scale up!\n\nWe’re looking for an experienced software engineer / hands-on architect to join (and possibly lead) a major initiative at a critical point in our company’s growth. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Senior, Engineer, Developer, Digital Nomad and Finance jobs that are similar:\n\n $60,000 — $130,000/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