 You can see how I am on this point. Hi, folks, if you're looking for a job, you're in the right place. These are our sponsors, our wonderful sponsors, and they've been given approximately two minutes each just to pitch what it's like to work at their company and that sort of thing. Essentially, I'm just going to, like I said, be an emcee. So you've got two minutes. So Uminat Sir, are you here? Yes. So here we go. Put it in the kitchen, look. Thank you. We're new in Ireland, there's only 25 us now in the company. It started in America about 10 years ago. So we're what we like to call ourselves as an IT AM, IT asset management. I've heard a call ITAM as well. I don't know what the O means. For myself, I'm a Software Engineer and I've been working there a year. We've got pretty good benefits and good salary and this is kind of what we do. So we manage our assets users. We can automate the whole process from onboarding and off boarding so we have work flows that can say go into Google connect out to Google will connect up to Slack we can onboard enough for users. If somebody stop over we can filter the emails back to their manager what's all the kind of nice stuff. So our backend is all pipes and microservices our front end is React with JavaScript and we're agentless we just connect out to the third parties like Google and Slack. like Google and Slack. This is kind of what a customer will see, so this is our product. It runs on an EC2 instance. Each customer will get their own product with their own little microservices on that EC2 instance. Very quickly, if you want, these are a couple of roles that are open and go away. All the roles are remote so you don't have to move to go away. It's a plus if you do. If you want to find out about more roles, the website is there. Stop by the boot where the first one is you go in the door downstairs, so we're always there and off to the crack. That's it. Awesome. Fantastic. Thank you very much. Umnitza. Next up we have Bank of America. Close yours. Hey folks, thanks very much. My name is James Shields. I'm from Bank of America. We have multiple roles open in risk and finance technology, heavily Python-weighted, Python or full stack engineers. We're easy on both. We also have a dev lab, which is essentially either an internal consultancy where we can spin up a quickly mobile team to work on a line of business problem, typically six to 18 month engagement. We also do R&D in there so we would internally the bank runs multiple internal competitions for AI, ML, cloud readiness, containerisation. We want a couple of those out of Dublin. Like I said, multiple full stack roles. Drop by the booth. We are just as you walk in the door to the left. Full list of open roles can pretty much accommodate all seniority, junior to distinguished engineer, whatever you've got. Thanks very much. Thank you. It's only a minute there. Okay. So next up we have Channable. Too many starts now. Thank you. Hi everyone. I'm Jill. Recruitment at Channable. So I'm here. Yeah, of course, to relate a little more about what we do at Channable, which is in the e-commerce field and more specifically feed management. So we help companies selling their products online. With their software they can upload their product and product information and then it gets pushed in different marketplaces. You can think of Amazon, Google, Facebook, but more than a thousand actually. This is what we use. So we facilitate this process. We make it, yeah, we use automation. We help companies saving a lot of money, resources and time as well. But yeah, we do that with, yeah, 200 and more like-minded people from 37 different nationalities. We mainly work from our office in the Netherlands. And yeah, we all very different, of course, but as I said, like-minded as well. We keep our values very close to our heart. So focus, care to share, grow, own it and of course enjoy it because work is nice when you enjoy it. And we focus a lot on personal growth because that's when Channable grows. And care to share I think is the one that we keep the closest to us because it's a very open culture and it's always possible to walk to your colleagues as for help and as to share their knowledge. We work a lot with Python and we are always looking for new Channable people because we're growing really fast. And the integration team is the bridge between the customer-facing team and the actual developers. And then we also work with Python software engineers in different sections of the tool. So there's always room for everyone. So come to our booth, come talk to us, to our developers, they will be happy to let you dive in into our tool. Thank you. Two minutes for the judges. Great sense of timing there. Okay, so Numboli, are you in the room? Yep. Okay, your two minutes starts now. Two minutes? Two minutes? All right. Hi everyone. So my name is Romain Messon. I'm a software engineer at Numboli. And what we do at Numboli, we're very proud, we've been sponsoring the European Python conference since 2014. We really enjoyed it and we wouldn't see it any different way. What we do basically, we are the marketing company that applied technology to help our advertising customer to relevant campaigns and targets. There could be email campaigns that could be banners or digital advertising. We're trying to use data as much as possible. There could be CRM data or traffic coming from their website that we track and trying to apply a lot of technology on that. I'm not going to go into too much details. One thing that we like to say also is that we're trying to be as technically independent as we can and develop in-house skills. We operate our own infrastructure, our own server that we manage ourselves. We have a big infrastructure team and you can see the photo we had in tradition where people are, when we're killing some old servers, there's always a photo tradition showing yourself with the server you actually killed. Don't worry, the new cable we're actually on during the shooting. We also use a lot of open-source technology. We use them a lot. All right, thank you. We use a lot of open-source technology. We're trying to contribute as much as we can. That's very important to us. Hopefully, we've already seen our booth. We are getting a game going on and there's some prices to win. We do recruit a lot of different profiles from software engineering to all the flavours of that job that you can think of, that engineer, that ops, that scientist and that analyst. Come to see us at booth 17. Thank you. Thank you. Okay, so Renaissance, sorry. Okay. Are you ready? Your two minutes starts now. Hi guys, I'm Dave Barry. I'm VP of engineering at Renaissance 3. Renaissance 3 is a very small company. We've got about 700 employees, but we've market capitalisation of 18 billion. So we've got big finances, but very small organisation. As a company, our purpose is to protect communities and to enable prosperity. Insurance is a very altruistic industry, so if you work with us, you can feel really good about the work that you do. I've had offices all around the world. I had offices based on remuda. Anybody that joins our organisation gets a one week free trip on their first day with the organisation. Sorry, no, that's not true, but many of our engineers do end up going to remuda to work. So what's re-insurance? Re-insurance is all about trading risk. So what that means is that as an insurance company, if I insurance and share, for example, lots of properties in Florida, I'm very exposed if a hurricane hits, so I want to diversify some of that risk. So what I will do is I'll come to a re-insurance company like ourselves, we'll purchase that risk, maybe a portfolio of insurance policies, and we have diversified risk across the industry and across our own business. The problems that we work on are really complex, analytical and quantitative problems. So they're really interesting engineering problems. One example of this is a process that we have called the risk roll-up, where we look at all the data across our organisation every evening. We quantify all the risks of everything that we insure, and we work out what that risk looks like across our business as things change on a day-to-day basis. So this particular example we're looking at, we've got 1.7 billion nodes. We've got 5,000 nodes operating in parallel. The Lambda functions run on AWS. As an organisation, we embrace cloud-first, serverless architectures for all our new applications. There's 4.5 million dependencies, of course 18 different statistical models that we use to assess that risk. So we have a very, very small number of roles available to the lucky candidates. If you're interested in talking to us a little bit more about these roles or in talking to us just about re-insurance in general, we'll have a chat with you. Our engineers are on a booth downstairs. We're at the back of the hall. Thank you very much for your time. Thank you. And apologies for the mispronunciation as well. All right, okay, there you go. I'm an idiot, aren't I? Rapid ratings, then. Are you here? Good. Okay, two minutes starts now. Great stuff. Hi, I'm Dyrmit from Rabbit Ratings, one of the architects in the company. We're a small enough engineering presence in Dublin. All tech and engineering is based here. What Rapid Ratings does, we do, we're a fintech company. We do supply chain risk. So we rate all your suppliers for our clients and give them back a nice score between 1 and 100. The tech we're building here in Dublin is all based on Django and Flask. We're fully in AWS, rolling out with Kubernetes for deployment. Myron and Carol here are HR and head of engineering. Myron wants me to point out about some things that people like to say when they leave, which is not to think to put it a recruitment session, but he said that everyone's very friendly. It's like the most common feedback that everyone's there to support each other, which is very true. We've fully worked from home company, I guess culture, since the pandemic hit and that's continuing on. But we keep in contact constantly through Slack and Teams. We are down in our boot in the forum at the back on the left. So please do come down and talk to us if you're interested in finding out a bit more about what roles we have on offer and what we do as a company and we'd love to hear from you. Thank you. Thank you. Optum on next. There's a lot of pressure on the two minutes. I'm Jason Hobb, Chief Data Scientist of Optum Tech. I'm going to jump into it. Assuming most people haven't heard of Optum, it's part of the United Health Group, which happens to be number five on the Fortune 500 list. So this year we'll probably do about $320 billion in revenue. So we're not a small organization, right? Just to give you that example, and Optum is more than half of the United Health Group. United Health Care is the health insurance arm. Optum is the health services, the providers, the RX services, basically that ability to help people live healthier lives and how we can do that hospitals, clinics, any sort of service that we can think of. As you can see, we touch almost 130 million people with our services. So we're not a small healthcare organization. Our objective is to help people live healthier lives. So one thing that I think is interesting, if you look at what we have available, we've got about 77 openings right now in the Dublin office. Some of those are also available in our UK office. More than about half of those, Python skillset. Perfect folks sitting in this room with that ability, right? On the right, we go a little bit of an example. Again, we're looking at for folks that are kind of maybe beginning their journey all the way up to the VP level, right? Some of the things that we work out of the Dublin office, just to give you an example, about 20% of the intellectual property for the entire UHC organization is filtered through our Dublin office. My team, I have distinguished engineers, VPs of engineering, that have that ability to understand new technology and healthcare. We do natural language processing on calls to try to make it better. We help nurses help understand their patients better. We do clinical risk for our providers such that they can give the right information to the right members, the right patients at the right time. A lot of great opportunity to make people's lives better. So full stack, data engineers, data scientists, we've got it available. Come down to the booth, we're way in the back, a little to the right, and we'll give a little bit of chat on that stuff. So, thanks a lot. Thank you very much. I should give out a price for the person who gets closest to two minutes. So next up is Workday. Okay, two minutes up there. Hi, so I'm Caroline Highland. I'm a software engineer in Workday. Workday are an industry leader in enterprise and cloud software. Our EU headquarters is in Smithfield in Dublin. We have a beautiful state-of-the-art office, but we also have flexible work from home options and schedules. Our customer community represents over 60 million workers globally, that's 60 million people logging on to Workday every day, getting paid, funding, finances and planning for jobs. We have almost 2,000 employees in the Dublin office and growing. We have over 19 nationalities in Workday Dublin, which makes a really vibrant workplace with lots of cultural events, celebrations throughout the year. What makes Workday different is the different people. What makes Workday different is our people and the investment we make in our people. Employees are the most fundamental core value. We invest in career growth and development through training and our career hope, which is accessible through our Workday product. Our employees can find gigs which can develop their skills and they can work cross-functionally between teams. We also take a skills-based approach to hiring and ensure everybody has an equitable opportunity. One example is our opportunity on-ramp programme, which is dedicated to creating economic opportunity for all, including on-ramps, provides internships and on-the-job training and full-time employment to untapped talent and diverse backgrounds. Workday are committed to benefiting communities we live and work in. We work closely with secondary schools and primary schools in the area. We also work with the caption centre for homeless people. We're hiring across a range of teams at the moment, and we love for you to come talk to us about Workday. Vibe is the value, inclusion and belonging and equity diversity organisation at Workday. We have some key initiatives that have been driven through Vibe, including the inclusive mind work set. Career development and internal mobility is something we foster here, and we have employees who have had rich careers across different teams. Fun is also core value. Please come talk to us at the booth. Thank you. Thank you very much. Well done. Optiva, that's you. Niko. You've got two minutes starting. Okay, hello everyone. I'm Niko. Sorry, I'm going too. When I'm not organizing Python events, I work at Optiva. I'm a leading infrastructure. That's my LinkedIn, probably. So, Optiva is a training company originally from the Netherlands in the main office in Amsterdam, but it's also offices all around the world, Chicago, London, Shanghai, Singapore, I think now. We are a market-making company. That means that we participate in many, many exchanges around the world, and we are always offering prices for all the instruments that are available in those exchanges. We are always there to sell or to buy if anyone wants to do that, and we get a few cents of commission for that. We use Python a lot. The company is using a lot of C++ and FPGA, but Python is the second language. In infrastructure where I work is probably the main language. That's the one that we use the most. Because you have a full stack from the lowest hardware, custom hardware things to the highest level of research, you have people doing infrastructure, people doing provisioning, automation, people doing research and doing back testing and training models. Depending on what you're looking for, there are many, many roles. There are two that I'm highlighting here. The first one is infrastructure of an engineer. That's my team. We are building automation because we use Bermuda infrastructure. The second one is a production engineer. Those are the people that are working together with the traders to manage our production environment. If you have any questions, there is a booth here with a decent amount of engineers. Also, finally, thank you. Fantastic. On the nose there. Penultimate, we have Hudson River Trading. What's going on here? Always happens to me. Why does it always happen to me? Oh, it's a PDF, that's why. Can I scan for viruses? There we go. Here we go. So if you... No, that's not it. 11. This was fine. Are you sure? Yeah. Okay. This one? That one. That one. Awesome. There we go. Thank you. I'm an idiot again. There we go. Two minutes start. Hi, everybody. I'm Jackie Leesman. I'm a technical recruiter here at Hudson River Trading. So basically, if you haven't stopped by our booth and you don't really know who we are or what we do, we are a fully automated electronic trading company. So we don't have any products. We don't sell anything. We don't have anything externally facing. We just basically trade using algorithms and models. And all of our pretty much tools are bills in C++ and Python, actually mainly Python, which is why we're here. And we are expending our basically operations in London and Dublin quite a bit. But a little bit about us just very quickly. Trading is used to look like this on the left. A lot of people buying and selling, yelling, you know, and a big trading port. Now it looks a lot like this on the right. And we were a big part in making that happen. So we use basically advanced math stats, really powerful computers, a lot of them, to trade basically anything you can trade electronically all over the world. So we think that machines and coders are a little bit better at making decisions than humans and traders are. Here are some of our open roles. So we're hiring pretty much everywhere. We have offices all over the U.S. in Europe or in London and Dublin. And then in APAC we're in Mumbai and Singapore as well. Here are some of our roles. Again, pretty much all of our tooling is built in-house, all in Python. So there's a lot of really interesting problems to solve, a lot of really cool stuff to do here. And we're a pretty fun place. I mean, we're very much, and that's actually me in the corner there on the left, we're a very much like kind of tech company first, sort of trading company second. We're not at all like a finance firm, which sometimes has like kind of a bad reputation. We do a lot of fun. We have a lot of like inter-office events. That's our office in New York City on the bottom right. And we have about 800 employees globally and around 150 or so between London and Dublin and looking to grow those quite a bit. So we're a very fun place. A lot of cool problems to solve, very technical, really tech first. And feel free to stop by our booth to meet us and answer any questions. And there's our career site. Thanks everyone so much. In the news. Thank you very much. And last but not least, we have Arn. You're okay with just the website. This one? Oh, do I want to take a survey? Yes, please send me my donkey cleaning kit. Immediately. Okay. Spam me with everything. Okay, come on. Are you coming up? Okay. Two minutes. Okay. So, hello everyone. I'm Lendro. I'm a software engineer at Arn. So Arn is most known for the hardware architecture. So that's the company behind Arn as an architecture. You have a smartphone. You are using Arn products. If you use cloud provider these days, Arn products are very popular there. You have a smartphone, IoT devices. So we are everywhere. And so in the company we have positions all across from hardware to open source. And through all the ecosystem, if you want to work with Python, I thought I'd better just why not do a live demo that always goes well, and then we can go and ask for Python positions. Then we have 146 open positions that mention Python in one way or another. So if you work on infrastructure, if you work on hardware, if you work on open source frameworks, that is a high job there for you. So we have no booth, but I'm round, and I'll be here also tomorrow. So stop by and have a look. So that's me. Thank you. Okay. So thank you very much to our sponsors for sharing that information with us. I encourage you all, if you are looking for a job, to go check out their booth downstairs. We have perhaps a couple of minutes left of this session. So I think we managed to do it all on time, really. So that's it. Thank you very much for your attention, and thank you again to the sponsors.