Add job posts

Author: nikoshell

src/components/JobCard.astro

@@ -1,5 +1,6 @@
 ---
 import { getEntry } from "astro:content";
+import Markdown from "@ui/Markdown.astro";
 const { job:jobId, sponsor:sponsorId } = Astro.props;
 
 const job = await getEntry("jobs", jobId);
@@ -14,25 +15,22 @@ if (!sponsor) {
 }
 
 // TODO: add tags
-const { title, location, type, level, salary, description, responsibilities, requirements, benefits, apply_link, draft } = job.data;
+const { title, location, type, level, salary, description, responsibilities, min_requirements, requirements, preffered, benefits, apply_link, draft } = job.data;
 
 ---
 
 <div class="mb-6 rounded-lg shadow-md bg-white">
   <div class=`flex-1 p-6 ${draft ? "draft": ""}`>
+    <p class="text-xl pb-2 inline-block font-bold">
+      {sponsor.data.name}
+    </p>
     <a href={`/sponsor/${jobId}`}>
       <h2 class="text-3xl font-bold mb-2">{title}</h2>
     </a>
 
-    <a class="lg:hidden text-[#1a56db] hover:text-[#4f46e5] text-xl pb-2 inline-block font-bold" href={`/sponsor/${sponsor.id}`}>
-      {sponsor.data.name}
-    </a>
-
-    { location &&
     <p class="text-gray-600 mb-2">{([level, type, location].filter(Boolean)).join(" • ")}</p>
-    }
     <p class="text-gray-700 mb-4">{salary}</p>
-    <p class="mb-3">{description}</p>
+    <Markdown content={description || ""} class="job-post" />
 
     { responsibilities &&
       <h3 class="text-xl font-semibold mb-2">Responsibilities</h3>
@@ -41,13 +39,26 @@ const { title, location, type, level, salary, description, responsibilities, req
       </ul>
     }
 
+    { min_requirements &&
+    <h3 class="text-xl font-semibold mb-2">Minimum requirements</h3>
+    <ul class="list-disc list-inside mb-4">
+      {min_requirements.map((item:string) => <li>{item}</li>)}
+    </ul>
+    }
     { requirements &&
     <h3 class="text-xl font-semibold mb-2">Requirements</h3>
     <ul class="list-disc list-inside mb-4">
       {requirements.map((item:string) => <li>{item}</li>)}
     </ul>
     }
 
+    { preffered &&
+    <h3 class="text-xl font-semibold mb-2">Preferred job requirements</h3>
+    <ul class="list-disc list-inside mb-4">
+      {preffered.map((item:string) => <li>{item}</li>)}
+    </ul>
+    }
+
     { benefits &&
     <h3 class="text-xl font-semibold mb-2">Benefits</h3>
     <ul class="list-disc list-inside mb-6">
@@ -56,7 +67,7 @@ const { title, location, type, level, salary, description, responsibilities, req
     }
 
     { job.data.description2 &&
-      <p class="mb-3">{job.data.description2}</p>
+      <Markdown content={job.data.description2 || ""} class="job-post" />
     }
 
       <a

src/components/ui/Markdown.astro

@@ -4,12 +4,13 @@ import { replaceYouTubeLinks } from "@utils/markdown";
 
 interface Props {
   content: string;
+  class: string;
 }
 
-const { content } = Astro.props;
+const { content, class: className } = Astro.props;
+const defaultClass = className? className: "prose-xl";
 const html = marked.parse(await replaceYouTubeLinks(content) );
 ---
-
-<div class="prose prose-xl max-w-none" >
+<div class:list={['prose', "max-w-none", defaultClass]} >
     <article set:html={html} />
 </div>

src/content/config.ts

@@ -242,10 +242,12 @@ const jobs = defineCollection({
     salary: z.string().nullable(),
     tags: z.array(z.string()).nullable(),
     description: z.string().nullable(),
-    description2: z.string().optional().nullable(),
     responsibilities: z.array(z.string()).nullable(),
+    min_requirements: z.array(z.string()).optional().nullable(),
     requirements: z.array(z.string()).nullable(),
+    preffered: z.array(z.string()).optional().nullable(),
     benefits: z.array(z.string()).nullable(),
+    description2: z.string().optional().nullable(),
     apply_link: z.string().url().optional(),
     draft: z.boolean().optional().default(false),
     sponsor: reference("sponsors").optional(),

src/content/sponsors/bloomberg/fixed_income_and_erivatives.md

@@ -6,7 +6,11 @@ level:
 tags:
 salary:
 description: "Bloomberg is a global leader in business and financial information, delivering trusted data, news, and insights that bring transparency, efficiency, and fairness to capital markets. The Fixed Income and Derivatives Engineering team produces world class applications and tools that enable our clients to generate trade ideas, structure deals, connect to electronic trading platforms, capture market movements, and assess and hedge portfolio risk for a variety of financial instruments across fixed income and derivatives asset classes.
+
+
 While building innovative technology is at the core of what we do, our group also develops sophisticated solutions for ever-evolving financial markets. We work directly with product managers, financial engineers, and quantitative analysts to understand client and market needs. We use cutting edge big data technologies, distributed computing, functional programming and machine learning to build software solutions that help us implement complex financial and quantitative models to facilitate derivatives pricing and analytics in real-time.
+
+
 As a member of the Fixed Income and Derivatives Engineering team, you'll contribute to a high-performance financial software system that handles billions of calculations per day. You'll gain hands-on experience in data analytics, distributed algorithms, and performance optimized code; all while gaining an advanced knowledge of financial instruments and markets. We seek passionate engineers who thrive in a diverse, collaborative environment and excel at crafting maintainable, efficient solutions to complex problems. Proficiency in object-oriented programming languages like C++, Python, or TypeScript is greatly desired, with a willingness to learn new technologies. You will also have the opportunity to leverage open-source tools like Apache Kafka, Spark, Cassandra and Redis (plus many more!) to design, develop, and implement full-stack solutions, adhering to industry best practices for software development, testing, automation, and CI/CD."
 responsibilities:
 requirements:

src/content/sponsors/bloomberg/network-production-engineer.md

@@ -6,6 +6,8 @@ level:
 tags:
 salary:
 description: "As a Network Production Engineer, you will be a critical member of the team responsible for the full lifecycle of our global network infrastructure that supports Bloomberg’s core products and services. This includes building and maintaining a network that is scalable, reliable and robust. Our network is vast, connecting several large-scale Data Centers and over a hundred edge sites. It connects Bloomberg to hundreds of thousands of our clients, over 1,500 global exchanges and trading venues over private connectivity, Internet and Public Cloud.
+
+
 This is a unique opportunity to help build robust, highly scalable solutions that will power the future of how Bloomberg automates network infrastructure. You'll be trusted to design and work on tooling that builds on automation best practices and principles."
 responsibilities:
 

src/content/sponsors/google-cloud/cloud-ai-engineer.md

@@ -0,0 +1,35 @@
+---
+title: "Cloud AI Engineer (Multiple Language)"
+location: Warsaw, Poland
+type:
+level:
+tags:
+salary:
+description: "The Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You listen to the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate.
+
+
+In this role, you will be ensuring that customers have the best experience moving to the Google Cloud machine learning (ML) suite of products. You will design and implement machine learning solutions for customer use cases, leveraging core Google products. You will work with customers to identify opportunities to transform their business with machine learning, and will travel to customer sites to deploy solutions and deliver workshops designed to educate and empower customers to realize the full potential of Google Cloud. You will have access to Google’s technology to monitor application performance, debug and troubleshoot product code, and address customer and partner needs. You will lead the execution of adopting the Google Cloud Platform solutions to the customer.
+
+
+Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems."
+responsibilities:
+  -   Deliver big data and machine learning solutions and solve technical customer tests.
+  -   Serve as a trusted technical advisor to Google's customers.
+  -   Identify new product features and feature gaps, provide guidance on existing product tests, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform.
+  -   Deliver best practices recommendations, tutorials, blog articles, and technical presentations adapting to different levels of business and technical stakeholders.
+min_requirements:
+  - Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
+  - Experience in building ML solutions, including software development in Python, Scala, or R, and in data structures, algorithms, and software design.
+  - Ability to travel up to 30% of the time as needed.
+  - Ability to communicate in English and any additional European language to support client relationship management in this region.
+requirements:
+preffered:
+  - Experience in working with the tolerecommendation engines, data pipelines or distributed machine learning, and with data analytics, data visualization techniques and software, and deep learning frameworks.
+  - Experience in software development, professional services, solution engineering and technical consulting with architecting and deploying technology and solution initiatives.
+  - Experience with Data Science techniques.
+  - Knowledge of data warehousing concepts with data warehouse technical architectures, infrastructure components, ETL/ELT and reporting tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume).
+  - Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks.
+  - Excellent communication skills.
+benefits:
+apply_link: https://www.google.com/about/careers/applications/apply?jobId=CiUAL2Fckd3uwL1qxoE9cneob-4krl7u12f8jLR4t1lkIhRUBQPAEjsAgOFyA1nAV-4YVlgCShuV8W75B1gMdRqbHiH4OCWHfL4oh95xg72I-Pc9mHAUGEdZnvZsPhMxbV0Z2w%3D%3D_V2
+---

src/content/sponsors/google-cloud/customer-engineer.md

@@ -0,0 +1,30 @@
+---
+title: "Customer Engineer (English, Czech)"
+location: Prague, Czechia
+type:
+level: Mid
+tags:
+salary:
+description: "When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.
+
+This is a customer-facing role that requires interactions in Czech with local stakeholders.
+
+Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems."
+responsibilities:
+  - Work with the team to identify and qualify business opportunities, understand customer technical objections, and develop the strategy to resolve technical blockers.
+  - Share enterprise infrastructure and cloud modernization expertise to support the technical relationship with customers, including technology advocacy, support bid responses, product and solution briefings, proof-of-concept work, and partner direct with product management to prioritize solutions impact customer adoption to Google Cloud.
+  - Guide customers through assessments of their existing application environments, provide recommendations on a prioritization roadmap for application modernization, and identify opportunities for migration to hybrid-cloud computing models.
+  - Structure and execute prototyping workshops to prove out proposed architectures, developing best practices, and documenting blocking requirements for prioritization with engineering.
+  - Travel to customer sites, conferences, and other related events as required, acting as a public advocate for Google Cloud.
+min_requirements:
+  - Bachelor's degree or equivalent practical experience.
+  - 6 years of experience with cloud native architecture in a customer-facing or support role.
+  - Experience engaging with, and presenting to, technical stakeholders and executive leaders.
+  - Ability to communicate in English and Czech fluently to support client relationship management in this region.
+requirements:
+preffered:
+  - Experience with one or more programming languages (Python, Java, C++, etc.).
+  - Knowledge of software development lifecycle."
+benefits:
+apply_link: https://www.google.com/about/careers/applications/apply?jobId=CiUAL2FckfI2El0IWfE9rR2hU0YOWmJQVDfYt4YCRZCTKBwoLWLKEjsASXckS6e7dNP7x61Aqm-GDfGyUR__VL4NXbwpETg6nwtMHBpRIyEN4atqIaZBksaRJinqT1n7S553_w%3D%3D_V2
+---

src/content/sponsors/google-cloud/software-engineer.md

@@ -0,0 +1,33 @@
+---
+title: "Software Engineer, Early Career, 2025 Start"
+location: Warsaw, Poland
+type:
+level: Early
+tags:
+salary:
+description: "Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
+
+
+As a key member of a small and versatile team, you design, test, deploy and maintain software solutions.
+
+
+The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.
+
+
+We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. "
+responsibilities:
+  - Research, conceive, and develop software applications to extend and improve on Google's product offering.
+  - Contribute to a wide variety of projects utilizing natural language processing, artificial intelligence, data compression, machine learning, and search technologies.
+  - Collaborate on scalability issues involving access to massive amounts of data and information.
+min_requirements:
+  - Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
+  - "Experience coding in one of the following programming languages including but not limited to: C, C++, Java, JavaScript, or Python."
+requirements:
+preffered:
+  - Bachelor's or Master's degree, or PhD.
+  - Experience with UNIX/Linux or Windows environments, distributed systems, machine learning, information retrieval, and TCP/IP.
+  - Experience programming in C, C++, Java or Python.
+  - Experience in network programming or developing/designing large software systems.
+benefits:
+apply_link: https://www.google.com/about/careers/applications/apply?jobId=CiUAL2FckdzD7AUpl6Pc-rVbsNX3mow6zqRMTuKTUKiINS3pMk8-EjsA7mFcrI04YpjoIc3FWCKfU3pBIEXV4JlQHR_iNUyQL0b3AD1laZNga41y7HP1a55oiqXAJ-RooXxDsA%3D%3D_V2
+---

src/content/sponsors/picnic/senior-data-engineer.md

@@ -6,7 +6,11 @@ level: Senior
 tags:
 salary:
 description: "As a Data Engineer at Picnic, you are responsible for translating business needs into successful technical designs. You’ll work with large data sets, discover new insights and business opportunities, and promote business intelligence.
+
+
 It’s a role with plenty of freedom: think you've spotted a way to ensure our large fleet of electric vehicles is used in the most efficient way? Go ahead and test, evaluate, and evolve your ideas alongside our Distribution team.
+
+
 More interested in customer behavior? Work on in-app analytics to ensure our mobile store remains smooth, speedy, and robust."
 responsibilities:
 requirements:

src/content/sponsors/picnic/tech-lead-python.md

@@ -6,7 +6,11 @@ level: Lead
 tags:
 salary:
 description: "Picnic operates more than 40 product tech teams that each provide an integral part of our customers' experience - from the point they start the app until the moment they hold their groceries in their hands.
+
+
 As Tech Lead, you will be leading our Python Warehouse Simulation team to empower them to build simulations of some of the biggest automated warehouses in Europe, as well as models of new warehousing and automation concepts that will enable us to expand as never before. Together with the Product Owner, you will evaluate initiatives and drive roadmap discussions. You will be responsible for the delivery of projects and for developing the skills and strengths of the people working in your team.
+
+
 As a Tech Lead, you’ll lead by example, not by title."
 responsibilities:
 requirements: