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Christian who knows so full of you know so that no OK that's only if you are an expression of the people who knows so that know
how much engineers do you think Ricketson 7 0 so maybe raise your hands are we have around 50 and 100 engineers so 1 very few bad now between 100 and 300 the case for and the between 500 and 800 that think yeah so I base he who the father of people who don't know we don't know some and answer and I know is actually the biggest fishing company in Europe and then we
also the fastest-growing fashion company in Europe and this is our website so basically most people actually knows from the advertisement of a screening people and that was how we started and now we have on the yet we have the perfect combination actually between
fashion and art technologies so I have a ticket in Berlin and we also have offices in Dublin has in the document I mentioned at the end on foot and we have more than 800 take people working in the technology department now and we want to hire a lot of people want our engineers within the next 2 years
so where and what technologies user tunnel wealth these are some of them back in the
future I think we can say everything because that's all I know we believed that every team lost their job best and everything is doing it knows their product best and every game controls best technologies scored a job we have lots of Java
engineers but he also quite and scholar we used to talk a far appointments on EWS we also have some people that are very passionate about technology and so if you like the GSC also place for you we use the Cassandra posteriors the you name it so and our condition
principles are and what you we want to do is be API 1st so when we do when you project we FIL and then we think about implementation this way or we are not static and implementation and then we don't have worry about technologies that to consumers office this often API are using it and we can show ourselves from it we use grass we use software as a service and we want to with more than we are migrating to cloud really wants and we are currently migrating from Mom analytic surgical Michael services as believed its way to do good good or if you want to be reliable if you want to be scalable and if you want to be gained autonomy and freedom to make their own choices yeah so
basically I you
already mentioned some of the things we want to focus on now arms so actually implemented ready collegiality in the whole the
technology happened in the beginning of the year on to really focus on trusting our people and their and abilities and we want to give their p of go give our teams on their their way of like an ant and the ant autonomy so that they can really be creative and that other people that also projects get on and get the and then and could not quickly and we will implement 12 mastery from our and please and acknowledge she's so that they can develop their skills and also exchange of their knowledge and we also tried to reading that on to that of our leaders so that they can I manage their teens better and what is really
amazing about as our so we aren't have take torques every week there people really talk about the projects everyone knows what is going on we have to have the exterior actually people coming together that new ideas and now we also have an innovation that which is amazing because those ideas are not just on ending after this week but we can implement an in the daily work
and from you are those of you who are like professionally like me we also have 40 % discount if you working it's an unknown and yet if you
want to you our novelist and please visit our text flock and we also he'll tell I feel so there's gonna be coming from government smaller so just come over and ask all the questions you want to come no the which
communication between with OK can you hear me if if I stand this far away from the like that OK comes up in the back thank
you very much so we those very great
presentation by Songle good job we have no slides nothing nothing of the sort of infected nodes in this so few hours ago users and not from each other both engineers so in here to tell you a little bit about the robot a lot of you've always seen our display there and some of our stuff is stuck in Madrid sold and
come back tomorrow we may have some teachers will what we're getting there so I guess uh because there was saying what the robot is and what we do know that probably did start so building a tool for predictive modeling so people in the world of data they wanna use this data to make predictions with an
interest that you wanna predict if you're going to get into a car accident or if 1 of the critical current not not an interest in the area the critical company wants to know if 1 of your transactions as fraudulent where they do this is they look at possible data and build a model and then we are building a tool for them to build a model much more quickly and so on their applications for data a life insurance in banks and pharmaceuticals until consonant sports analytics all over the place I'm obviously a little biased but I think everyone should be able to use data about it's good and so you was see when you tell us the tell you find people what sort of technology reuse yes yes so we use by them of course
and also some of the people there is is the radius of formal we use docket for deployments more but we use Dr. for multiple things student testing deployment so for some prototyping and as far as they but I think is well we all about machine learning so there multiple libraries so there that we use like but and there's so with the cycle and yet so yeah any of this some similar when I talk to you even if you were talking about but you're satellite it still want to talk to you spend much how actually I joined a at all stages of of the stack the how much expensive but on the spring much is what good my my interest so anyway but like the Macintosh engineers and full-stack engineers and dealt with a little automation a building around the infrastructure there you know well all about automated testing of course continues deployments on this work to to to go around researchers yet and so on uh yeah we use Python for entire stack except for phone and that sort of script but because the data size would frameworks they're all it will do Python were 1 big happy Python family and was specifically some things that we thought we'd like different packages and things we do on which ends of Python 3 knowledge that is in Python 3 but we're moving in that direction so if you're offended by some 3 conductors well we like machine learning obviously at a lower being on automated testing so that excites that's with Detective but continues deployment and letting letting measuring and monitoring determine our decisions our engineering you know its decisions and also distributed computing survey using some interesting to you we love to talk to you about the kind of problems that we think about and that we want to solved in the near term are and training models on on larger and larger datasets scaling up to terabytes and petabytes of data how we would like to move more towards a micro-services oriented architecture so if you ever done that or you think that some school this is 1 of the things we're thinking about and so I would go to sleep the special memory was kind because level we have the look and things like that we're going to come to us few in is
speech this is Clark is a
data scientist his job is to build an accurate predictive model
have OK and have this will not on hello
everybody can hear me OK
yes OK thank you and still and here to to talk fine jails and soul you always want to be doing a fine just started with find people in edinburgh in the face and 9 and today we all the market leaders in 1 defines the sports in North America 300 strong across Edinburgh classical Orlando you'll can seem to be as now technology-based eighties in Edinburgh and Glasgow and that is pretty much right where he is today we are continuing to roll we're looking for developer is right across a this stack particularly obviously Python I so we couldn't it bring our office to show you have fantastic it was and we couldn't bring everybody from until to show you have fantastic so instead I thought I would show you there and our initial height to present and so any questions please come in the NFL from today and I was sometimes called the best the last 1 because you have by saying that that that that and
a and B was founded in
2009 with liable hundreds reasoning launched was
so as the market but without
the existence of language we could do a lot better fungal is offensive force that takes the
traditional concepts of my friends of course over time these shortcomings into 1 that be so real opportunity
because of lack of innovation in the fantasy sports industry remember the
1st being customer image 5
dollars for a moment and we
can to stop on the walls which I think and I remember
discussing with the CEO at very
high we can bring more players and the and I
remember since we just like in the the
state of the UK and
Ireland and we get 10 times day so
this year we had over 500 dollars analyzes next year had
over the analysis is about 40 million transport layers of the user
and words that with its value of a
million players really
discuss surfaces 1 last piece of this whole thing you have to think about business perspective that
they can't find any more and more people money
you have had and you that in the
case of the so Wellesley until
nobody realizes that building a billion-dollar business on their doorstep research over many
users across Web mobile and tablet PC times that as much as
200 entries and that's so
that's the problem setting at when we say that we the attack that were used to fund it was
excited because of solving problems in
doing things that no 1 has ever done before
we are linking to redouble our had kind by the end of
2015 from 120 staff to
300 that they and that's across
our headquarters in New York and offices in the car it's about the people can work with and we were work on going with other
developers and designers of the because
of you corpus because we want to be
well above the company will build and team will move forward together
toward success and it takes a lot of
people to make a winning team and then
which contributions of so we strive really hard to tell almost
like a silicon valley tight
culture here in the UK so
sends it could be that it really has work
hard play hard and everything leaves of the office of these and you have
the feeling that you get interesting and
difficult challenges here on a
product that millions of users of various parts of the world you know if
you wanna work for 1 of the fastest growing Web companies in the UK that the the the obvious things that
I a will so yes hopefully will be the
symbol of analysis and thank you with respect and
there and welcome to the precession my name is christine
like I might scientific name analytics and value here also work to continue merits is
somewhere that over a working on locating I'm working on ways using any of us in our and different out of touch that we've had at your Python we also have a bull so if after decision went up come talk to us on Build welcome to come so well how many people here have heard of thinking in analytic and how many people don't have heard about in a condom OK so there's a few that everyone I've I've had a lot of people talking about during the at the conference we don't know about and conduct an economy
of the by the distribution of home with a lot of packages for scientific data science and on analytics that's already by can download an example of problems that people have with installing Python in windows and also on in some of the diaries that have the your Python C or Fortran bindings and continue we have a product called and a kind of server that build on top of the Anaconda free distribution and it allows large corporations to manage their package infrastructure and have everyone download install of internal that internal of binary packages and besides that we have to do consulting and training both Python by and also finds application here which that's our website continuum that I don't on the other hand the board the log of the open source Python scientific and science libraries and
and we are actively recruiting of we are going a lot of last year when until all are about 50 of interleaved by now we are the around 130 and am joining every day no you our
office in downtown Boston we have more more or less around 60 people there's no another office in New
York with around 15 20 and then move a lot of other people are remote working in both in other cities in the US but also in Argentina Colombia Poland UK France Spain right now
we're you is this is 1 there a few of you and what you think it and so we're right by the developers of people that can do all finite the expressing fine the we have a lot of our customers or hedge funds in and banks and especially in New York from web app developers and in C + + and and also in general anyone who who really loves open source in Python of so we're
everywhere employed people all around the world they said and you can find on the opening up 3 years at the website and industrial slash careers our by our over both we're going to be here that's and don't have much to add just screw so we're really care about open source community emigrated um we reiterate company environment and I agree that it's great to work with really smart people and they share the same passion for community of open-source think so if you interested from readers that's all thank you thank
you and on but the so very well and grading have assume I have
no data we sorry
all you say that the from the web you have people collect down
therefore remote company was standard remotely of it's but the DNA but the colleges I the company's standard 5 years ago and we have doubled each year modern knowledge here we now 100 members are spread all around the world those against of we have a Bayesian benefits by gradually over but they shown so I would allow an online services
allowance we had some of that
the that's where the we are the self availability the do opens pressure on we have modern day open source projects of and we
have many times we have this
grade 11 million items laughter yeah I'm there is some very big infrastructure behind that so if you like challenges yeah but that
to by thresholds grading have and is does our rules if you wanna Bettina docking thank you this week and in the open source
program office that we're building a worldwide world-class
cloud and we do speak Python England and
Wales among other things so if you are interested in being part of that team whether the Python or OpenStack were hiring many developers to participate in those teams of your interest in other projects like CloudFoundry or do or or are we also have
teams for that so few body be outcomes last jobs that you could do a search when I did a search earlier this week for the careers in Python there are currently over 300 jobs so wherever you are in the world whatever technology like it's the company that will will provide you the opportunity to grow and open source as well as in technology have come stop by our booth or ask me any questions that point this week hi everybody
I'm Tyler with red this
is our 4th year Python and we're very happy to be here it's always been properly
I would say our best recruiting event globally year after year
the question that I always get year after year is how can make it happen and everyone ask it no matter what are we going to have the answer to that is is really quite simple and we give a hack to every new employee on their new higher orientation so if you really really really want a Fedora and then you need to come talk to us or the and we can tell
you all about the opportunities that we have this just a little
bit about what Red Hat does most of you probably know ready for bringing Linux to mainstream but we also have solutions in middleware it's mostly J. by xj boss it's mostly Java and virtualization we have a management suite that is all written in Python cloud which is OpenStack OpenShift so Infrastructure-as-a-Service Platform-as-a-Service heavy Python on their large
pieces of the operating system like in a condo installer that is it's completely Python and we also have a storage divisions so we're looking for supper engineers test engineers Dev Ops there are even some evangelists what kind skills and why
Red Hat I think the number 1 reason to choose red hat is the commitment to open source every product that we put out is completely open source and if we acquire company its criteria the 1st thing we do is take an open source but were consistently radius for 1 of Ford's top employers for software engineering were also very likely to hire you remotely if that's something you like to do in Europe are largest engineering officers in the Czech Republic and burnout were actually relocated 4 years ago I mean it's fantastic we have 800 engineers they're working on all red hats products so we can bring you there or we can have you most likely where you are can the company's doing extremely well we had 53 consecutive quarters of revenue growth since at the time to you that so apply stop by the didn't come talk to us and we got a lot of engineers here this week that would be happy to answer any technical questions you have a tell you that the projects of they're working on i you can talk to your filter is down here in the front of the camera myself were happy to talk to you and you can check our career site 1 thing I will tell you is if you see a job you like don't worry about where the location is listed if it's listed in the US but you wanna work from here apply for paying meeting URI a lot of times we move the job with the talented and you can reach out to us on Twitter so that is the so hopefully will see you in your hair orientation will put a hat on your head the yeah OK so
everyone on and should have been and you may know me as the cortical
processes on size and compare the and also the known personal framework as a couple of years ago on the onset of 0 sorry can't screw read arm and so school the other indeed leading in Germany provided for new book subscription services you can think of those of Spotify
for books and as we remarked during I key and we we've gone online in the interval and 12 and we've visited him up and demanded that the last years by of the
largest had a lot of armed with 130 thousand books so in total which means that you can set with a service of Italians 10 years mom and and leaders and what is your can't possibly think so if I have all sorts of of the revenue use of the
catalog with lots of content as you come across Europe most of the a as the German bases in Germany biography of large international have large and constantly growing and we were together was publishers and we have a pretty much or German publishers and boards permanent and we're constantly increasing the the
model for publishers the downward thirds bit reactants set for self-publishing what I'm saying is that real publishes titles meanings of books you actually want to read so so what you do it's currently are in based he pretty much all of talk that's at most of our infrastructure that was developed for all all the way from genome books in from the publishers have to get to the to also star our customers and is running time on on AWS during the talk deployment and that's the deleted motive Framatome coming into you are we doing asynchronous program and so really isn't tomorrow and as our remaining
weapons interests front ends platform and so it's a really interesting tonnage development on 1 side of the use of so that's the 1 that and parts of the region weapons what developments and of them all but in part because so this is the same as in if researchers also not a base at and 5 and then we're also doing so we're working with on when to have such a large catalog hours soluble and some users on because users of facing a problem that you know you need to get the contents to users on we analyze Keller becomes difficult to navigate and to the publisher of the find condom they want so what we're working on stomach and that then our users to find the right content for the internet and easy from 1 to 2 year getting what's in the region of the the want to read on to find the content delayed haven't recommendations have automated so some ways to to bring the content to users and then from happening and that's this is the the merits what motivates us Summit in our readers have and we see that every day of the Articles of the talking to them directly we have monophone as cough problems with just over McCain's hundreds and there's just you know they go and so have you there because of as best service said and this is my last couple of years and of so that's is a very can read recurrent death and some were very heavily on Damijan which that out and you know what to do at midnight users happy of and that's what we recommend evidence
on so as a huge incident in job offers of
real that's that's also she Prince more company reduced about 15 people and all the market leader 50 was at time but it's it's very motivated and where consumer rip-roaring looking for you to help us keep up our vision of mid-America middle readers happy medium get the people I read some books right findable right and so we're for web development that and developers python developers in general of but that is a good developers and people who know what they're doing and this but who have lost chief novels there are also
given desire all intermediate iterates could be on androgen was wireless devices all that is made of realize you can just download it from the uh from the pooled taste or you're uh I'm not aware storing all were also available for our people devices and to just divided trying out see what we have achieved so far I have fun reading events and use they Net coming out out of Iran from its circle days and conference and so it out in their own institution revolution if someone from school we just talk about it and I didn't touch with us here we had to use 2 different things everybody I'm for the prior
work for beyond beyond
those of predictive analytics company and what we basically do is we vote predictive applications
to fully automate business decision-making for our clients in various markets such as retail travel transport industry logistics and so on and on and our apps are heavily relying on points and more complete stack of some points and we use some of these technologies you the listed here and of course Applications Inc. lots
of data science know how because there may be based on machine learning algorithms
and so on currently beyond that has around 150 people right now we have really fortunate armed to the glowing review from last year and this is why we actually search for clever people who experience in software development as well as data scientists we really like open source software poisonous already mentioned really like encoding death continuous delivery and so on currently we have 3 office locations of headquarters on present Germany and we have an office in Hamburg and 1 in London's most of us are actually writing code every day which is quite nice so well on not so much management and the on the on if you would like to know more and more details about the number of people who you always and you the friends sh
for only the ones I am
Alison from cluster case the company that is based in the UK in the cell which is really quite situation in the implemented and will say based in San Francisco in the USA and American people also if you'd like to work to make the this is in the of book by 0 sorry of us again
I'm minus cluster case and where commuters based in Bristol UK substances in the US and we also have some of my work and we're starting with silicon valley stand and fit Silicon Valley funding and we started in Bristol about 5 6 years ago and we've recently and pivoted to have a product that works alongside don't to manage the data and but in containers survey positions that are creating full engineers who come IPython mental abilities and develop evangelist and infrastructure Engineering so all of this is new to the entrance when you come downstairs and we got more information about the different of things that so I think we've probably seen some of the and observe teachers coming against the can customs amendments so hopefully but before you go home will we have given it to you
and I'm just gonna hand to which it is gonna talk a little bit about product flock which is an open source for that thanks I them so I'm Richard I'm a senior engineer at the cluster HQ um what's the
size and Oslo then is container data management and what that means is that we're developing an open source product called flock uh which is designed to help you move you stateful docker containers from server to server and and we do that using technology like EFS and we used the we use we have a different system which uses standard OpenStack and we have 3rd back and which uses Amazon and EBS block devices um I've been involved I have to tell you a bit about what I've been doing recently time storage Q and I've been working on the open stack and saying the driver of the book and then it's been it's been interesting learning experience for me and I it works by attaching creating and attaching at the BS block devices to a virtual machine and creating a file system only block device and mounting not file system and that's file system then becomes associated with the container the data you want to save and make portable
and when you make a call to our REST API um Fokker will detail actually the file system of sorry it'll stop the container the touch the file system and the amount of of system I should say the touch the block device and then reattach to the new server before starting at the the container on 1 common use and what else can I say um it's a it's a great place to work I've been very impressed with that 1 and a half years so far and I'm working with some of my I I don't know how many of you have sort of programming heroes and mental was but I I'm really excited to be working with the twisted developers Jake John calderonian and it's a
mall Turing and Jonathan lying all 3 of them were kind of the the very start of the twisted project and and they're really smart people to work with but I work with a whole bunch of small people and we distributed all over the world and that's that's the other interesting part of the job for me is the amount to traveling and and the conference has being to you in the the interesting people I've met since joining the company so I I would recommend joining coming and saying it's set up and and find out a bit more about software and the roles that we we we've got some of the things can add and you're going to tell us a bit about this is more about how we write software so and we almost exclusively used by Ferna'ndez Richard mentioned to instead and we really focus on making high-quality content so that's the main thing 1 of the main things we look for in a development is not necessarily someone who has experience with that offensive is that Dr. twisted or would be nice and but we know that quite limited so looking for people who really like riding high quality currently we do things like test-driven development everything goes through code review and lots of CI kind of things and we we have a culture of knowledge sharing so like Richard has some of his programming here is me to and that and I've learned a lot working there and I really really recommended that and and 1 of the cool things is that and like someone movement right you mention right had also like us or loss of his open-source um and we'll stick it back with a lot to the open source projects that we depend on and point would kind of allowed to do that contribute back you can affect unity when we want to know what to do with the amount of machine yeah so we've got our side projects John Locke um and was adjusted refined all want features in a lot of Python libraries it's pretty nice theory and spend some of our time with him come and find some standard so to say that Friday and a fat
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Arithmetisches Mittel
Dienst <Informatik>
Informationsmodellierung
Mereologie
Debugging
Parallelrechner
Vorlesung/Konferenz
Online-Katalog
Inhalt <Mathematik>
Softwareentwickler
Systemplattform
Baum <Mathematik>
Computeranimation
Rechter Winkel
Reelle Zahl
Prozess <Informatik>
Güte der Anpassung
Web-Designer
PRINCE2
Softwareentwickler
Maschinelles Sehen
Inzidenzalgebra
Computeranimation
Roboter
Metropolitan area network
Maschinenschreiben
Subtraktion
Kreisfläche
Rotationsfläche
Besprechung/Interview
Red Hat
Iteration
Computeranimation
App <Programm>
Punkt
Kartesische Koordinaten
Prozessautomation
Analytische Menge
Computeranimation
Virtuelle Maschine
Systemprogrammierung
Client
Prognoseverfahren
Algorithmus
Logistische Verteilung
Haar-Integral
Roboter
Open Source
Red Hat
Zahlenbereich
Kombinatorische Gruppentheorie
Code
Computeranimation
Office-Paket
Eins
Metropolitan area network
Datenmanagement
Software
URL
Softwareentwickler
Analytische Fortsetzung
Baum <Mathematik>
Softwareentwickler
Ortsoperator
Zellularer Automat
Datenmanagement
Übergang
Sondierung
Biprodukt
Kommutator <Quantentheorie>
Speicherbereichsnetzwerk
Computeranimation
Metropolitan area network
Vorlesung/Konferenz
Information
Softwareentwickler
Baum <Mathematik>
Fitnessfunktion
Softwareentwickler
Bit
Open Source
Datenmanagement
Übergang
Schar <Mathematik>
Bildschirmtext
p-Block
Physikalisches System
Biprodukt
Computeranimation
Virtuelle Maschine
Datenmanagement
Druckertreiber
Server
Dateiverwaltung
Speicher <Informatik>
Baum <Mathematik>
Aggregatzustand
Maschinenschreiben
Bit
Einfügungsdämpfung
Punkt
Datenmanagement
Code
Computeranimation
Eins
Metropolitan area network
Virtuelle Maschine
Prozess <Informatik>
Software
Test-First-Ansatz
Programmbibliothek
Dateiverwaltung
Vorlesung/Konferenz
Inhalt <Mathematik>
Softwareentwickler
Optimierung
Softwareentwickler
REST <Informatik>
Open Source
Systemaufruf
Übergang
Physikalisches System
p-Block
Quick-Sort
Rechter Winkel
Turing-Test
Mereologie
Server
Projektive Ebene
Baum <Mathematik>
Roboter
Red Hat
Computeranimation

Metadaten

Formale Metadaten

Titel Recruiting sponsors presentation
Serientitel EuroPython 2015
Teil 82
Anzahl der Teile 173
Autor EuroPython
Lizenz CC-Namensnennung - keine kommerzielle Nutzung - Weitergabe unter gleichen Bedingungen 3.0 Unported:
Sie dürfen das Werk bzw. den Inhalt zu jedem legalen und nicht-kommerziellen Zweck nutzen, verändern und in unveränderter oder veränderter Form vervielfältigen, verbreiten und öffentlich zugänglich machen, sofern Sie den Namen des Autors/Rechteinhabers in der von ihm festgelegten Weise nennen und das Werk bzw. diesen Inhalt auch in veränderter Form nur unter den Bedingungen dieser Lizenz weitergeben
DOI 10.5446/20219
Herausgeber EuroPython
Erscheinungsjahr 2015
Sprache Englisch
Produktionsort Bilbao, Euskadi, Spain

Inhaltliche Metadaten

Fachgebiet Informatik
Abstract Various speakers - Recruiting sponsors presentation Recruiting sponsors presentation.
Schlagwörter EuroPython Conference
EP 2015
EuroPython 2015

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