Profile data

10x Resume uses 11ty ↗︎ and react ↗︎ components from the Details package to render the information in Job/Data/Profile.json into html.

10x Resume uses Prince ↗︎ to convert this into the final pdf.

Directorydev
- DirectoryJob
  - DirectoryData
    Profile.json
  - DirectoryPdf
    build.pdf

Show pdf workflow

Job/ ╭────────────╮ Data/ │ 10x Resume │◁─────── Profile.json ⎞ React components │ Render.cjs │ ⎥ render the profile │ │ ⎠ details │ ├────────────────┐ ╰────────────╯ writes │ │ Job │ Pdf/ ▼ ╭────────────╮ Src/ │ eleventy │◁────────── _includes ⎞ 11ty merges │ │ details.html ⎥ rendered details │ │ details.css ⎥ using a static layout │ │ ⎥ │ ├────────────────┐ ⎠ ╰────────────╯ writes │ │ Job/ ▼ ╭────────────╮ Pdf/ │ bottle │◁──────── build/ ⎞ the 11ty output is ╰────┬───────╯ assets ⎥ served to Prince │ index.html ⎠ with bottle │ ▽ Job/ ╭────────────╮ Pdf/ │ prince ├──────▶ build.pdf ⎞ Prince generates ╰────────────╯ writes ⎠ the final pdf

Candidates can customize the Profile.json file and/or extend the corresponding Details package components to create a unique pdf for each enquiry.

The Job/Data/Profile.json file

This file holds a json object with candidate data with fields organized as follows:

summary fields customized for each enquiry
information about the candidate and how to contact them
platforms and education summary
work summary
work experience
profile link description

Enquiry summary

These fields hold key details of interest to the reviewer:

languages used in a professional context
work background
work objective

For example

Show sample values

Field	Example Value
languages	Typescript • Elm • Python • Go • Scala • Java • Lua • C • C++
background	Cimarron has over three decades of experience helping high-functioning teams build and deliver database, application and systems management software.
objective	Currently seeking opportunities to build, extend and maintain superior applications, user interfaces and data management systems.

Candidate information

These fields hold the candidate’s name, title and contact information. For example

Show sample values

Field	Example Value
name	Cimarron Taylor
title	Software Developer
linkedin	www.linkedin.com/in/cimarrontaylor
email	candidate00000000@10xresume.com
location	Oakland, CA, 95660
timezone	C-7 hours

Platforms and Education

These fields summarize the platforms the candidate has worked with and their educational background. For example

Show sample values

Field	Example Value
platforms	[ “OSX, Windows, Linux, FreeBSD, Solaris”, “Serverless, Kubernetes, OpenStack, Xen/XenServer” ]
education	[ “University of California, Berkeley - B.A. Applied Mathematics”, “December 1990, emphasis in Operations Research” ]

Field

Example Value

platforms

[ “OSX, Windows, Linux, FreeBSD, Solaris”, “Serverless, Kubernetes, OpenStack, Xen/XenServer” ]

education

[ “University of California, Berkeley - B.A. Applied Mathematics”, “December 1990, emphasis in Operations Research” ]

Work Summary

The categories field is an array of json objects summarizing the candidate’s years of experience by work category. For example

Show sample values

Field	Example Value
categories	[ { “years”: 8, “desc”: “developing user interfaces”, “work”: “U-----” }, { “years”: 8, “desc”: “developing application logic”, “work”: “-A----” }, { “years”: 10, “desc”: “analytics and infrastructure”, “work”: “—I---” }, { “work”: “---D—”, “desc”: “building database technology”, “years”: 30 }, { “work”: “----E-”, “desc”: “engineering management”, “years”: 4 }, { “work”: “-----O”, “desc”: “operations and administration”, “years”: 4 } ]

Field

Example Value

Work Experience

The experience field is an array of json objects describing when and where a candidate worked, the category of the work, the primary languages used and what they build or accomplished.

For example

Show sample values

Field	Example Value
experience	[ { “when”: “2022-now”, “where”: [ { “name”: “Securepub” } ], “work”: “UA----”, “with”: “Typescript, Elm”, “what”: [ { “desc”: “Browser-based application development” } ] }, { “when”: “2021-2022”, “where”: [ { “bold”: “Lacework”, “link”: “https://www.lacework.com” } ], “work”: “----EO”, “with”: “Java, Python”, “what”: [ { “bold”: “Reduced Snowflake warehouse costs by $20,000/day” } ] }, { “when”: “2016-2020”, “where”: [ { “bold”:“Cisco”, “link”:“https://web.archive.org/web/20160302031434/https://www.cisco.com/c/en/us/products/hyperconverged-infrastructure/index.html” } ], “work”: “—ID—”, “with”: “Scala, Go”, “what”: [ { “desc”: “Policy-based backup and network management” } ] }, { “when”: “2014-2015”, “where”: [ { “bold”: “Piston Cloud”, “link”: “https://www.cisco.com/c/en/us/about/corporate-strategy-office/acquisitions/piston.html” }, { “name”: “Cisco” } ], “work”: “—ID—”, “with”: “Python”, “what”: [ { “desc”: “Cluster configuration service and distributed storage” } ] }, { “when”: “2013-2014”, “where”: [ { “bold”: “Quorum Labs”, “link”: “https://quorum.com” } ], “work”: “UAID—”, “with”: “Python, C”, “what”: [ { “desc”: “Automated management of backup appliance databases” } ] }, { “when”: “2012-2013”, “where”: [ { “name”: “Galiam Capital” } ], “work”: “—IDEO”, “with”: “C++, SBCL”, “what”: [ { “desc”: “Low-latency shared memory multicast data demultiplexer” } ] }, { “when”: “2011-2012”, “where”: [ { “bold”: “EMC/Greenplum”, “link”: “https://en.wikipedia.org/wiki/Greenplum” }, { “name”: “Pivotal” } ], “work”: “—ID—”, “with”: “Python”, “what”: [ { “desc”: “Cluster management, distributed data loading” } ] }, { “when”: “2009-2011”, “where”: [ { “bold”: “Infinium Securities”, “link”: “https://www.theglobeandmail.com/report-on-business/rob-magazine/theres-millions-in-those-milliseconds/article4302845” } ], “work”: “---DEO”, “with”: “C++, SQL, Lua”, “what”: [ { “desc”: “Managed DBA team, market data, ETL and overnight jobs” } ] }, { “when”: “2006-2008”, “where”: [ { “name”: “LogSavvy” } ], “work”: “---DE-”, “with”: “C, Lua, Python”, “what”: [ { “desc”: “PostgreSQL log analysis with compact bitmap aggregates” } ] }, { “when”: “2005-2006”, “where”: [ { “bold”: “FilmLoop”, “link”: “https://web.archive.org/web/20100103233823/https://techcrunch.com/2007/02/12/filmloop-betrayed-by-investors/” }, { “name”: “Fabrik” } ], “work”: “---D—”, “with”: “C”, “what”: [ { “desc”: “ReST/JSON app server and memcached extensions” } ] }, { “when”: “2004-2005”, “where”: [ { “bold”: “Zenprise”, “link”: “https://en.wikipedia.org/wiki/Zenprise” }, { “name”: “Citrix” } ], “work”: “---D—”, “with”: “C++”, “what”: [ { “desc”: “Query language for navigational joins of telemetry data” } ] }, { “when”: “2001-2004”, “where”: [ { “bold”: “SenSage”, “link”: “https://en.wikipedia.org/wiki/Sensage” }, { “name”: “Hexis Cyber” } ], “work”: “—ID—”, “with”: “C++, SQL”, “what”: [ { “desc”: “Distibuted SQL query planner and executor” } ] }, { “when”: “2000-2001”, “where”: [ { “name”: “BusinessBots” } ], “work”: “—IDM-”, “with”: “Java”, “what”: [ { “desc”: “Hot-standby logic and recovery for Java trading system” } ] }, { “when”: “1998-2000”, “where”: [ { “bold”: “Saratoga Systems”, “link”: “https://web.archive.org/web/20100225213653/https://www.technewsworld.com/story/execpersp/21093.html” }, { “name”: “Aptean” } ], “work”: “UA-D—”, “with”: “C++, SQL”, “what”: [ { “desc”: “RDBMS mapping, caching and offline synchronization” } ] }, { “when”: “1998-1999”, “with”: “C++, SQL”, “where”: [ { “bold”: “Ecircles”, “link”: “https://web.archive.org/web/20210622055451/https://every.to/cybernaut/before-facebook-there-was-ecircles” }, { “name”: “Classmates” } ], “work”: “---D—”, “what”: [ { “desc”: “Connection manager, transaction processing gateway” } ] }, { “when”: “1996-1998”, “where”: [ { “bold”: “JB Development”, “link”: “http://www.taylors.org/zdnet/www.zdnet.com/eweek/opinion/1103/03.html” } ], “work”: “---DM-”, “with”: “Java, SQL”, “what”: [ { “desc”: “Embedded SQL database for Java applications” } ] }, { “when”: “1994-1996”, “where”: [ { “name”: “Automation Consultants Group” } ], “work”: “UA-DM-”, “with”: “C++, SQL, Tk”, “what”: [ { “desc”: “SCADA batch process visualization, sensor data archival” } ] }, { “when”: “1992-1994”, “where”: [ { “bold”: “Illustra”, “link”: “https://en.wikipedia.org/wiki/Illustra” }, { “name”: “IBM” } ], “work”: “UA-D—”, “with”: “C++, SQL, Tk”, “what”: [ { “desc”: “Data visualization IDE, SQL dataflow compiler” } ] }, { “when”: “1991-1992”, “where”: [ { “bold”: “Scopus Technology”, “link”: “https://web.archive.org/web/20150101233032/https://www.nytimes.com/1998/03/03/business/company-news-siebel-to-acquire-scopus-for-460-million.html” }, { “name”: “Oracle” } ], “with”: “C, SQL, Tcl”, “work”: “UA-D—”, “what”: [ { “bold”: “Made company profitable productizing prototype in 4 months” } ] }, { “when”: “1990-1991”, “where”: [ { “bold”: “Sharebase”, “link”: “https://en.wikipedia.org/wiki/Britton_Lee,_Inc.” }, { “name”: “Teradata” } ], “work”: “---D—”, “with”: “C, SQL”, “what”: [ { “desc”: “Indices, international character sets, batch transations” } ] }, { “when”: “1987-1990”, “where”: [ { “bold”: “UCB Postgres Research Group”, “link”: “http://db.cs.berkeley.edu” } ], “work”: “---D—”, “with”: “C, Lisp, Quel”, “what”: [ { “bold”: “Postgres executor, access methods, transactions” } ] } ]

Field

Example Value

experience

 [
   {
     “when”:  “2022-now”,
     “where”: [
       {
         “name”: “Securepub”
       }
     ],
     “work”:  “UA----”,
     “with”:  “Typescript, Elm”,
     “what”:  [
       {
         “desc”: “Browser-based application development”
       }
     ]
   },
   {
     “when”:  “2021-2022”,
     “where”: [
       {
         “bold”: “Lacework”,
         “link”: “https://www.lacework.com”
       }
     ],
     “work”:  “----EO”,
     “with”:  “Java, Python”,
     “what”:  [
       {
         “bold”: “Reduced Snowflake warehouse costs by $20,000/day”
       }
     ]
   },
   {
     “when”:  “2016-2020”,
     “where”: [
       {
         “bold”:“Cisco”,
         “link”:“https://web.archive.org/web/20160302031434/https://www.cisco.com/c/en/us/products/hyperconverged-infrastructure/index.html”
       }
     ],
     “work”:  “—ID—”,
     “with”:  “Scala, Go”,
     “what”:  [
       {
         “desc”: “Policy-based backup and network management”
       }
     ]
   },
   {
     “when”:  “2014-2015”,
     “where”: [
       {
         “bold”: “Piston Cloud”,
         “link”: “https://www.cisco.com/c/en/us/about/corporate-strategy-office/acquisitions/piston.html”
       },
       {
         “name”: “Cisco”
       }
     ],
     “work”:  “—ID—”,
     “with”:  “Python”,
     “what”:  [
       {
         “desc”: “Cluster configuration service and distributed storage”
       }
     ]
   },
   {
     “when”:  “2013-2014”,
     “where”: [
       {
         “bold”: “Quorum Labs”,
         “link”: “https://quorum.com”
       }
     ],
     “work”:  “UAID—”,
     “with”:  “Python, C”,
     “what”:  [
       {
         “desc”: “Automated management of backup appliance databases”
       }
     ]
   },
   {
     “when”:  “2012-2013”,
     “where”: [
       {
         “name”: “Galiam Capital”
       }
     ],
     “work”:  “—IDEO”,
     “with”:  “C++, SBCL”,
     “what”:  [
       {
         “desc”: “Low-latency shared memory multicast data demultiplexer”
       }
     ]
   },
   {
     “when”:  “2011-2012”,
     “where”: [
       {
         “bold”: “EMC/Greenplum”,
         “link”: “https://en.wikipedia.org/wiki/Greenplum”
       },
       {
         “name”: “Pivotal”
       }
     ],
     “work”:  “—ID—”,
     “with”:  “Python”,
     “what”:  [
       {
         “desc”: “Cluster management, distributed data loading”
       }
     ]
   },
   {
     “when”:  “2009-2011”,
     “where”: [
       {
         “bold”: “Infinium Securities”,
         “link”: “https://www.theglobeandmail.com/report-on-business/rob-magazine/theres-millions-in-those-milliseconds/article4302845”
       }
     ],
     “work”:  “---DEO”,
     “with”:  “C++, SQL, Lua”,
     “what”:  [
       {
         “desc”: “Managed DBA team, market data, ETL and overnight jobs”
       }
     ]
   },
   {
     “when”: “2006-2008”,
     “where”: [
       {
         “name”: “LogSavvy”
       }
     ],
     “work”:  “---DE-”,
     “with”:  “C, Lua, Python”,
     “what”:  [
       {
         “desc”: “PostgreSQL log analysis with compact bitmap aggregates”
       }
     ]
   },
   {
     “when”:  “2005-2006”,
     “where”: [
       {
         “bold”: “FilmLoop”,
         “link”: “https://web.archive.org/web/20100103233823/https://techcrunch.com/2007/02/12/filmloop-betrayed-by-investors/”
       },
       {
         “name”: “Fabrik”
       }
     ],
     “work”:  “---D—”,
     “with”:  “C”,
     “what”:  [
       {
         “desc”: “ReST/JSON app server and memcached extensions”
       }
     ]
   },
   {
     “when”:  “2004-2005”,
     “where”: [
       {
         “bold”: “Zenprise”,
         “link”: “https://en.wikipedia.org/wiki/Zenprise”
       },
       {
         “name”: “Citrix”
       }
     ],
     “work”:  “---D—”,
     “with”:  “C++”,
     “what”:  [
       {
         “desc”: “Query language for navigational joins of telemetry data”
       }
     ]
   },
   {
     “when”:  “2001-2004”,
     “where”: [
       {
         “bold”: “SenSage”,
         “link”: “https://en.wikipedia.org/wiki/Sensage”
       },
       {
         “name”: “Hexis Cyber”
       }
     ],
     “work”:  “—ID—”,
     “with”:  “C++, SQL”,
     “what”:  [
       {
         “desc”: “Distibuted SQL query planner and executor”
       }
     ]
   },
   {
     “when”:  “2000-2001”,
     “where”: [
       {
         “name”: “BusinessBots”
       }
     ],
     “work”:  “—IDM-”,
     “with”:  “Java”,
     “what”:  [
       {
         “desc”: “Hot-standby logic and recovery for Java trading system”
       }
     ]
   },
   {
     “when”:  “1998-2000”,
     “where”: [
       {
         “bold”: “Saratoga Systems”,
         “link”: “https://web.archive.org/web/20100225213653/https://www.technewsworld.com/story/execpersp/21093.html”
       },
       {
         “name”: “Aptean”
       }
     ],
     “work”:  “UA-D—”,
     “with”:  “C++, SQL”,
     “what”:  [
       {
         “desc”: “RDBMS mapping, caching and offline synchronization”
       }
     ]
   },
   {
     “when”:  “1998-1999”,
     “with”:  “C++, SQL”,
     “where”: [
       {
         “bold”: “Ecircles”,
         “link”: “https://web.archive.org/web/20210622055451/https://every.to/cybernaut/before-facebook-there-was-ecircles”
       },
       {
         “name”: “Classmates”
       }
     ],
     “work”:  “---D—”,
     “what”:  [
       {
         “desc”: “Connection manager, transaction processing gateway”
       }
     ]
   },
   {
     “when”:  “1996-1998”,
     “where”: [
       {
         “bold”: “JB Development”,
         “link”: “http://www.taylors.org/zdnet/www.zdnet.com/eweek/opinion/1103/03.html”
       }
     ],
     “work”:  “---DM-”,
     “with”:  “Java, SQL”,
     “what”:  [
       {
         “desc”: “Embedded SQL database for Java applications”
       }
     ]
   },
   {
     “when”:  “1994-1996”,
     “where”: [
       {
         “name”: “Automation Consultants Group”
       }
     ],
     “work”:  “UA-DM-”,
     “with”:  “C++, SQL, Tk”,
     “what”:  [
       {
         “desc”: “SCADA batch process visualization, sensor data archival”
       }
     ]
   },
   {
     “when”:  “1992-1994”,
     “where”: [
       {
         “bold”: “Illustra”,
         “link”: “https://en.wikipedia.org/wiki/Illustra”
       },
       {
         “name”: “IBM”
       }
     ],
     “work”:  “UA-D—”,
     “with”:  “C++, SQL, Tk”,
     “what”:  [
       {
         “desc”: “Data visualization IDE, SQL dataflow compiler”
       }
     ]
   },
   {
     “when”:  “1991-1992”,
     “where”: [
       {
         “bold”: “Scopus Technology”,
         “link”: “https://web.archive.org/web/20150101233032/https://www.nytimes.com/1998/03/03/business/company-news-siebel-to-acquire-scopus-for-460-million.html”
       },
       {
         “name”: “Oracle”
       }
     ],
     “with”:  “C, SQL, Tcl”,
     “work”:  “UA-D—”,
     “what”:  [
       {
         “bold”: “Made company profitable productizing prototype in 4 months”
       }
     ]
   },
   {
     “when”:  “1990-1991”,
     “where”: [
       {
         “bold”: “Sharebase”,
         “link”: “https://en.wikipedia.org/wiki/Britton_Lee,_Inc.”
       },
       {
         “name”: “Teradata”
       }
     ],
     “work”:  “---D—”,
     “with”:  “C, SQL”,
     “what”:  [
       {
         “desc”: “Indices, international character sets, batch transations”
       }
     ]
   },
   {
     “when”:  “1987-1990”,
     “where”: [
       {
         “bold”: “UCB Postgres Research Group”,
         “link”: “http://db.cs.berkeley.edu”
       }
     ],
     “work”:  “---D—”,
     “with”:  “C, Lisp, Quel”,
     “what”:  [
       {
         “bold”: “Postgres executor, access methods, transactions”
       }
     ]
   }
 ]

Profile link description

The click field contains the text describing the 10x Resume link for the enquiry. For example

Show sample values

Field	Example Value
click	[ “Click the link below to view Cimarron’s”, “portfolio and RFD151 engineering”, “assessment materials” ]

Note: the actual link and password which appear here do not come from the profile data - they come from the .env file created when the content is rendered.