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Razvoj rešitev s področja računalniškega vida, strojnega in globokega učenja. Izbira, implementacija in primerjava primernih ML/DL pristopov za konkretne probleme. Priprava in analiza podatkov: zajem, čiščenje, označevanje, predprocesiranje, augmentacija in vizualizacija. Učenje, validacija in optimizacija modelov ter sistematično izvajanje eksperimentov. Načrtovanje in prilagajanje arhitektur nevronskih mrež, loss funkcij, metrik, strategij učenja in hiperparametrov. Analiza napak ter izboljševanje natančnosti, robustnosti in generalizacije modelov. Delo na nalogah, kot so klasifikacija slik, detekcija objektov, segmentacija, podobnost slik, lokalizacija ter 3D/stereo vid. Spremljanje aktualnih raziskav, razumevanje znanstvenih člankov ter preizkušanje novih metod. Optimizacija inference in podatkovnih cevovodov ter skrb za kakovost, ponovljivost in dokumentiranje eksperimentov. Sodelovanje v majhni razvojno-raziskovalni ekipi pri načrtovanju eksperimentov, code reviewu in izmenjavi znanja. Dobro razumevanje globokega učenja in osnovnih arhitekturnih nevronskih mrež, predvsem CNN-jev in Transformerjev. Izkušnje z vsaj enim ogrodjem, kot so PyTorch, TensorFlow ali JAX. Dobro matematično ozadje na področjih linearne algebre, verjetnosti, statistike in optimizacije. Razumevanje ML procesa: priprava podatkov, učenje, validacija, preprečevanje overfittinga in evalvacija modelov. Poznavanje knjižnic, kot so NumPy, SciPy, scikit-learn, pandas, Matplotlib in OpenCV. Razumevanje pristopov, kot so transfer learning, fine-tuning, data augmentation, regularizacija, learning-rate scheduling in metric learning. Osnovno poznavanje Gita. Radovednost in želja razumeti, zakaj model deluje oziroma zakaj ne. Prednosti: C, C++ ali Rust in optimizacija zmogljivosti. Moderne arhitekture za klasifikacijo, detekcijo ali segmentacijo. Delo z GPU-ji in optimizacijo učenja oziroma inference. Orodja za spremljanje in primerjanje eksperimentov. Linux in Bash. Pisanje pregledne, modularne in vzdrževane kode. Implementacija metod iz znanstvenih člankov oziroma reprodukcija raziskovalnih rezultatov. Sodobno, sproščeno in stimulativno delovno okolje, možnost strokovnega napredka ter primerno plačilo (senioriteto določi Vodja na podlagi tehnične diskusije, za mid nivo se rang začne pri 3.300 eur bruto osnove) dinamično delo, izobraževanje in usposabljanja za potrebe delovnega mesta, nadstandardno zdravstveno zavarovanje, športne aktivnosti, pozitivne in zagnane sodelavce/-ke, ki ti bodo vedno pripravljeni/-e pomagati Prijave in življenjepis sprejemamo na [email protected]

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About us: As a Data Scientist in Sportradar's AI unit, you will work withing an established, high performing team of experts on the design, development and deployment of predictive models and algorithms powering Spotradar's products. You will leverage Sportradar's extensive sports datasets, betting transaction data and user interaction data collected through Sportradar's products and services reaching millions of end-users across the globe. The position will be focused on the development of AI and advanced analytics solutions for sportsbook risk management and liquidity driven odds trading, collaborating closely with product owners and technical leads in our Managed Trading Services and Odds Services product domains. Sportradar is a global leader in understanding and leveraging the power of sports data for hundreds of business customers around the world, in turn entertaining millions of sports enthusiasts. The challenge: - Analyse and explore data using statistical analysis tools and scripting. - Develop machine learning or statistical models for use in our sportsbook risk management and odds trading products and services. - Rigorously validate methods, models, algorithms and hypotheses using back-testing on historical data and/or simulations. - Bring models into production leveraging our AI platform, maintaining ownership of the AI solution throughout the model development lifecycle, from modelling to production deployment, monitoring and continuous model improvement. - Design and implement novel methods for data analysis, tailored to our sports-related application domains and propose new ways of using data to improve our products and services. - Present ideas and solutions to software developers and business stakeholders in a clear and understandable way. About you: - The successful candidate will be knowledgeable in machine learning and statistics. - Strong programming skills and software development experience needed to productize low latency streaming analytics solutions are a must. - Experience with risk management and portfolio optimization in financial, gaming or sports betting contexts is a plus. - Experience in data science, statistical modelling, applied mathematics and/or software engineering. - Profficiency with advanced querying of large analytical databases using SQL. - Programming experience is a must. - Experience with Python, R or similar statistical and/or machine learning software/toolkits. - Bonus: Experience working in Java. - Bonus: Hands-on experience with real-time streaming analytics frameworks such as Apache Flink and streaming technologies such as Apache Kafka. - Bonus: Experience working with Mac/Linux environments. - Bachelor of Science in Mathematics / Statistics, Computer Science / Engineering, or related field; equivalent experience acceptable. - Fluent in English (written and spoken). - Autonomous, rigorous, creative and a team player. Our offer: - A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and US) including various social events and teambuilding. - Flexibility to manage your workday and tasks with autonomy. - A balance of structure and autonomy to tackle your daily tasks. - Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants. - Global Employee Assistance Programme. - Calm and Reulay app (leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience). - Online training videos. - Flexible working hours. https://smrtr.io/zqJ7y

Pri PredictLeads iščemo AI / ML inženirja (https://predictleads.com in podjetje 4see d.o.o.). Smo Y Combinator graduate in Finalist izbora Zlate Niti v kategoriji do 50 zaposlenih. Iščemo in strukturiramo podatke, ki nakazujejo hitrost rasti podjetij. Naše datasete uporabljajo Data Science in Engineering ekipe in gradijo "insighte" nad njimi, jih vključujejo v agentic workflowe, uporabijo preko MCP-jev, API-jev̷ Vse za namene boljšega razumevanja razvoja podjetij in smeri globalnih trgov. Uporabljajo nas najhitreje rastoči AI startupi, Fortune 500 podjetja, investicijska podjetja in globalna market intelligence podjetja. Primeri podatkov, ki jih ponujamo so informacije o tehnologijah, ki jih uporabljajo podjetja, struktirirani in kategorizirani news eventi, podatki o odprtih delovnih mestih in supply chain relationshipi. Konkuriramo na svetovni ravni. Vaša naloga bo vzpostaviti agentic sisteme za iskanje podatkov po spletu. Presoditi kje je smiselno uporabljati ML sisteme in kje LLM based sisteme. Eksperimetirati z LLM modeli, RAG sistemi, harnessi. Testirati in vpeljati agent orchestration sisteme. Za razliko od pogoste poti startup-ov naš cilj ni exit. Ampak si želimo ustvariti okolje, kjer bomo s sodelavci radi delali na zastavljenih problemih na dolgi rok. Kjer bomo postali eksperti v tem kar počnemo. Prav tako ne želimo rasti v neskočnost headcount-wise ampak ustvariti ekipo velikosti, kjer se vsi poznamo po imenih in raje povečevati plače zaposlenim. Informativen opis sistema in uporabljenih tehnologij: - uporabljamo: Python, PostgreSQL, Ruby on Rails, Kubernetes, Docker, Scala, Spark, Neo4j, RabbitMQ, GitLab, Elasticsearch, - za crawlanje uporabljamo Python in BeautifulSoup, - podatke shranjujemo v PostgreSQL in Neo4j bazi, - za queue sistem uporabljamo RabbitMQ, za scheduling pa Sidekiq, - spletna aplikacija in API sta napisana v Ruby on Rails, - delo organiziramo tako, da je nepotrebnih sestankov čim manj. - razumevanje in znanje implementacije LLM modelov, - razumevanje uporabe agentic sistemov, - odlično znanje programskega jezika Python, - znanje grajenja modelov, - dobro poznavanje arhitekture odjemalec-strežnik, - natančnost in samoiniciativnost, - če imate izkušnje s crawlanjem spletnih strani, toliko bolje (Selenium, Splash, PhantomJS, Puppeteer), - dobrodošle tudi izkušnje z Dockerjem in RabbitMQ. - redno zaposlitev za nedoločen čas, - plačo med 5000 in 7500 EUR bruto, - review plače na vsakih 6 mesecev, - nagrado ob koncu leta glede na performance podjetja, - maksimalno izplačilo malice in regresa, - minimalno 25 dni dopusta, - delo od doma ali iz pisarne (pisarna v BTC-ju, veliko parkirišče za rampo), - budget za ureditev domače pisarne, - delo v inovativnem, mednarodno usmerjenem podjetju, - delo v mladi ekipi, kjer imaš velik vpliv na razvoj produkta in kjer se ceni samoiniciativnost, - popolna transparentnost pri finančnih metrikah podjetja, - delo z izkušenimi in motiviranimi sodelavci. Veseli bomo vaše prijave. Pošljete jo lahko na [email protected] (cc [email protected]).

Kot Senior backend inženir boste ključni del naše ekipe in boste neposredno vplivali na razvoj naše platforme. Vaše delo bo osredotočeno na reševanje konkretnih izzivov: - Načrtovali in implementirali boste naš nov, razvijalcem prijazen Public API, ter sodelovali neposredno s strankami pri njihovih integracijskih načrtih. - Reševali boste izzive skaliranja našega sistema za obdelavo podatkov iz več kot 100.000 povezanih plovil hkrati. - Arhitekturno boste zasnovali robustne podatkovne modele za kompleksne primere uporabe, kot so podatkovno podprto vzdrževanje plovil in zajemanje podatkov iz dvojnega CAN vodila. - Sodelovali boste pri načrtovanju in implementaciji novih funkcionalnosti za naše aplikacije, vključno z novimo hardverskimi integracijami. - Vsaj 5 let izkušenj na področju razvoja zalednih (backend) sistemov. - Odlično poznavanje programskega jezika Python in visoka strokovna usposobljenost za delo s Python ogrodji za razvoj spletnih storitev (Django, Django REST Framework, itd). - Poznavanje vsaj nekaterih tehnologij, kot so REST, PostgreSQL, avtomatizirano testiranje, RabbitMQ, TimescaleDB, SQL, Docker in Ansible, upravljanje z Linux strežniki. - Dokazljive izkušnje z načrtovanjem in izgradnjo RESTful API-jev ter snovanjem kompleksnih podatkovnih modelov. - Dobro poznavanje orodij za nadzor različic programske opreme, kot je Git, in poznavanje načel in vzorcev razvoja programske opreme. - Odlične komunikacijske sposobnosti in močan občutek za reševanje izzivov, tako pri samostojnem kot timskem delu. - Zagotavljanje visoke ravni učinkovitosti in zanesljivosti storitev in ključnih sistemov. - Aktivno znanje angleškega jezika. - Sodelovanje pri razvoju in načrtovanju najsodobnejših IoT storitev in produktov, ki so vodilni na področju pomorske industrije. - Delo v sproščeni, povezani in zagnani ekipi, ki želi deliti svoje znanje in stremi k skupnim ciljem. - Delovno okolje, ki nudi nove izzive in znanja. - Zaposlitev za nedoločen čas s poskusno dobo 6 mesecev. - Fleksibilen delovni čas in možnost prilagajanja prostočasnim dejavnostim. - Konkurenčno plačilo. - Okolje, ki ima posluh za želje in predloge ter skupaj z vami razvija vašo karierno pot. - Možnost dela na infrastrukturno ugodni lokaciji v Ljubljani (Tehnološki park) ali hibridnega dela. - Izpostavljenost številnim priložnostim za strokovni in osebni razvoj. - Dolgoročno sodelovanje s polnim delovnim časom. [email protected]

V Kolibri Labs širimo engineering ekipo in iščemo Senior Machine Learning / AI Engineerja/-ko, ki bo skupaj z nami gradil/-a AI-native platformo za znanstveno delo, peer review in objavljanje raziskav. Platformo razvijamo v tesnem partnerstvu z mednarodno akademsko organizacijo iz ZDA, ki produkt skupaj z nami aktivno soustvarja. Tvoj fokus bo core AI stack in vprašanje, kako AI sisteme narediti dejansko uporabne, merljive in boljše. Delal/-a boš na: Iščemo nekoga, ki: - zelo dobro razume moderne LLM sisteme in njihove omejitve, - dobro razume statistiko in eksperimentalno metodologijo, - zna zasnovati kakovostne evale, benchmarke in eksperimente, - zna rezultate kritično interpretirati in ločiti signal od šuma, - zna modele in eksperimente spraviti iz notebooka v produkcijsko okolje, - hitro preverja nove ideje in se ne naveže prehitro na en pristop, - aktivno spremlja nove modele, papers, GitHub projekte, agent frameworke in eval pristope, - ima svoje mnenje o tem, kaj v trenutnem AI svetu dejansko deluje in kaj ne, - se zelo dobro pisno in ustno izraža, - je pripravljen/-a svoje rezultate tudi javno predstaviti oziroma objaviti. Ne iščemo nujno akademika. Pomembneje nam je, da razumeš raziskovalni način razmišljanja, znaš postavljati dobre hipoteze in jih preverjati z eksperimenti. Poznavanje raziskovalnega oziroma akademskega procesa od znotraj je velik plus. PhD ni pogoj. - delo na zahtevnih problemih na presečišču LLM-jev, agentov in znanstvenega dela, - dostop do velike količine kakovostnih podatkov s tega področja, - veliko svobode pri načrtovanju eksperimentov in raziskovalnih smeri, - možnost razvoja in javne objave benchmarkov in rezultatov, - neposreden vpliv na core AI stack produkta, - možnost dela tako na raziskovalnih kot produkcijskih problemih, - sodelovanje z ekipo v Sloveniji in partnerjem v ZDA, - okolje, kjer se pričakuje hitro eksperimentiranje in argumentirano tehnično razpravo, - remote-friendly način dela, 5.500 - 8.000 € bruto/mesec + performance bonus. Trenutno nas je okoli 10 v Sloveniji, tesno pa sodelujemo tudi z ekipo našega partnerja v ZDA. Pošlji nam LinkedIn, GitHub, CV oziroma karkoli, kar najbolje pokaže tvoje delo, na: [email protected] Ob prijavi nam na kratko odgovori še na vprašanji: Kaj je trenutno v LLM/agent svetu najbolj precenjeno in kaj najbolj podcenjeno? Kako bi preveril/-a, ali AI reviewer dejansko izboljšuje kakovost peer reviewa?

At Celtra, data is an important part of the products we build. We ingest and transform data from a range of internal and external sources and use it to power analytical features, APIs, and increasingly AI-powered experiences for our users. We are looking for a Software Developer, Data to join our product engineering team. This is a software engineering role focused on building product-facing data systems and features end to end - from understanding and modeling the data to pipelines, backend services, and user-facing experiences. You will work across the stack, own features through production, and help us build reliable and maintainable systems that turn data into useful product capabilities. What tools do we use? Our data platform is centered around Snowflake and dbt, with Fivetran and custom integrations handling data ingestion. We use Terraform for infrastructure as code and CI/CD extensively to automate testing and delivery. Our application stack is built primarily with TypeScript, with Vue.js on the frontend. The team also builds backend services, analytical APIs, workers, and orchestration infrastructure. AI is also part of how we build software. We have an AI-assisted SDLC in place where engineers orchestrate coding agents to offload repetitive and tedious work, while staying responsible for technical decisions, quality, and outcomes. 1. Your Responsibilities - Own and build product features end to end, working across data pipelines, backend services, and frontend when needed, and taking them through to production. - Understand the data and its sources, and design and evolve data models that are clear, maintainable, and reusable. - Build and improve our data pipelines and infrastructure, from ingestion and transformation to orchestration, reliability, and production operation. - Build analytical APIs, services, and frontend experiences that make data available to our products and users. - Work with product stakeholders, clients, and vendors to understand needs, investigate problems, and turn them into practical technical solutions. - Contribute to the evolution of our data platform, including data quality, governance, observability, and AI-powered capabilities. 2. Qualifications - Strong SQL and data modeling skills, with experience building ETL/ELT pipelines and working with layered transformation patterns such as raw/staging, intermediate, and curated data models. - Solid software engineering fundamentals, with experience building and operating production systems and backend services. - Good understanding of software engineering practices such as automated testing, CI/CD, and production observability. - Ability to independently own and deliver moderately complex engineering work, from understanding the problem through implementation and production operation. - Good verbal and written English communication skills. 3. What brings extra points? - Hands-on experience with Snowflake, dbt, Fivetran or other ingestion frameworks, Terraform, or TypeScript. - Experience building distributed systems, asynchronous workflows, or orchestration systems. - Experience designing data quality, observability, or governance systems. - Experience building or improving development harnesses for coding agents and agentic workflows. - Experience developing AI agents or systems that provide AI applications with access to structured company data. - Familiarity with frontend frameworks such as Vue.js. 4. What we value You don't need to know every tool in our stack. What matters more is that you are curious, proactive, and motivated to grow. We value engineers who like to understand how things really work, take ownership beyond the initial implementation, and are comfortable working across different parts of the stack. You should enjoy turning ambiguous problems into practical solutions and continuously expanding what you can take on independently. 1. Why Celtra? - Impact: Create high-quality digital work for leading global brands across a wide range of campaigns and formats. - Culture: We are inventive, collaborative, and proudly a little bit quirky - because doing great work should also be fun. - Flexibility: Hybrid with strong hubs in Ljubljana, London and New York, and team get-togethers that keep us connected. - Growth: You will learn from experienced team members and grow into bigger roles as you go. 2. What we offer? - Flexible working hours and hybrid work based on a fixed number of in-office days. - A dedicated educational budget to explore new skills and deepen your expertise. - Equipment of your choice. - Knowledge shares. - Additional pension and health insurance. - WFH budget. An additional budget of 500 EUR to set up your home space. - Employee well-being. Dedicated budget for any kind of wellness activities such as fitness, yoga, etc. Apply here: https://celtra.com/careers/openings/#op-706810-software-developer-data

openDAQ defines an abstraction layer for DAQ devices and signal processing blocks, designed to describe virtually any measurement system. What sets openDAQ apart from other standards (e.g. OPC UA, MQTT, ASAM, EtherCAT) is that it doesn't aim to stand apart from them, but to bring them into a shared ecosystem. We do this through translator modules that map other standards to and from the openDAQ model, so that existing third-party software can connect to openDAQ, and vice versa. As the Protocols & Connectivity software engineer, you'll own these translators. You'll design, build and evolve them, making sure they're secure, perform well under real-world data loads and conform to each protocol's standard. You'll also maintain the protocol infrastructure in the openDAQ core, and keep track of evolving industry standards to help shape the openDAQ roadmap. What you will do - Develop modules that translate DAQ and industrial standards (e.g. OPC UA, MQTT, ASAM) to and from the openDAQ model - Build shared protocol infrastructure in the openDAQ core - Extend and maintain the protocol-facing parts of the openDAQ API - Implement protocol security, including encryption, authentication, authorization and certificate management - Optimize data streaming performance (bandwidth, latency, resource usage) - Ensure interoperability with third-party products that use the supported protocols - Integrate and test third-party protocol libraries used by openDAQ - Track and research relevant industry standards - Maintain clear documentation and examples of how openDAQ maps to each protocol Not all are strictly necessary, but we expect you to learn whatever you do not yet know. - Strong knowledge of C++ - Experience with CMake - Understanding of software architecture and design principles - Knowledge of network stacks and basic socket programming - Experience working on larger backend projects - Solid understanding of API design - Familiarity with various backend libraries Nice to have - Knowledge of secure programming practices - Experience with industrial or communication protocols - Experience working on long-lived platforms or SDKs - Applications from less experienced candidates are also welcome if they demonstrate strong motivation and technical understanding. What we're looking for in you - Critical thinking: You question assumptions and don't accept ideas at face value. You consider the wider context, and you aim to solve problems, not just ship features - End-to-end ownership: You research, plan and execute your work, from the initial idea to final validation - Curiosity and a drive to learn: You enjoy working with and learning about new technologies and tools, and you're comfortable starting a task with incomplete knowledge and learning as you go - Collaboration: You work towards shared goals, not just your own tasks, and are comfortable offering, asking for, and accepting help - Work on an open-source core used by industry worldwide - Direct influence on architecture and the long-term direction of openDAQ - Technically challenging and meaningful work without feature churn - Collaboration with experienced engineers in core systems and protocols, including those from Dewesoft and HBK - Competitive salary and a performance-based bonus system - Location: Trbovlje, Slovenia. Possibility of a hybrid work setup - Rewards: based on individual and company performance - Employment type: Full-time [email protected] (Please include C++ Engineer in the email subject.)

V Kolibri Labs širimo engineering ekipo in iščemo Senior Software Engineerja/-ko, ki bo skupaj z nami gradil/-a AI-native platformo za znanstveno delo, peer review in objavljanje raziskav. Platformo razvijamo v tesnem partnerstvu z mednarodno akademsko organizacijo iz ZDA, ki produkt skupaj z nami aktivno soustvarja. Tvoj fokus bo gradnja produkta od problema do produkcije. Delal/-a boš na: Iščemo nekoga, ki: - ima več let izkušenj z razvojem produkcijskega softwara, - se dobro znajde čez več delov stacka in ni omejen/-a samo na backend ali frontend, - zna samostojno prevzeti problem in ga pripeljati od ideje do produkcije, - dobro razume načrtovanje API-jev, podatkovnih modelov in produkcijskih sistemov, - zna razmišljati o skalabilnosti, zanesljivosti in kakovosti kode, - ga LLM-i, agenti in AI-native produkti res zanimajo, - aktivno uporablja oziroma raziskuje AI orodja za razvoj softwara, - se zelo dobro pisno in ustno izraža, - zna jasno zagovarjati svoje tehnične odločitve, hkrati pa sprejeti boljši pristop drugega člana ekipe. Prednost so izkušnje z našim stackom, niso pa pogoj. Raziskovalne ali akademske izkušnje so lahko plus. PhD ni pogoj. - delo na produktu na presečišču AI-ja, softwara in znanosti, - veliko tehnične avtonomije in neposreden vpliv na produkt, - delo na problemih, kjer LLM-i in agenti niso samo dodatek, ampak osrednji del produkta, - sodelovanje z izkušeno ekipo v Sloveniji in partnerjem v ZDA, - možnost dela čez različne dele produkta in stacka, - veliko prostora za preizkušanje novih AI orodij in pristopov, - remote-friendly način dela, 5.500 - 8.000 € bruto/mesec + performance bonus. Trenutno nas je okoli 10 v Sloveniji, tesno pa sodelujemo tudi z ekipo našega partnerja v ZDA. Pošlji nam LinkedIn, GitHub, CV oziroma karkoli, kar najbolje pokaže tvoje delo, na: [email protected] Ob prijavi nam na kratko odgovori še: Kako danes uporabljaš AI pri svojem delu in kaj se je zaradi tega konkretno spremenilo?

We're hiring a Senior Security Engineer to help shift security left across product and platform teams, while also supporting internal corporate security needs. You'll drive impact through enablement, automation, and practical risk reduction. Why this role matters You'll secure both what we build and how we work. That means embedding security into our products and CI/CD, and also supporting internal teams. Security here is not a gate; it's a force multiplier. You'll help engineering teams move faster safely, and ensure our colleagues have a secure foundation to do their best work. Success means faster, safer releases and fewer reactive security escalations. What will you do? As a Senior Security Engineer, your mission will be to: Partner with developers to embed security into design, build, and deploy stages Automate vulnerability triage and mitigation flows Secure CI/CD pipelines (GitHub, Jenkins) and execution environments (Kubernetes, Docker) Tune WAFs, manage cloud security (AWS, GCP, Azure), and evolve Terraform practices Support internal teams with secure production accesses, endpoint hardening, and access policies Lead security reviews across app, infra, and corporate environments Advocate for security standards with clarity and empathy You might be a fit if you: See security as an enabler of speed, not an obstacle Are comfortable in cloud and on-prem worlds Value autonomy, and naturally take ownership from idea to execution Can zoom out to prioritize risks and zoom in to fix root causes Communicate clearly with devs, ops, and business teams alike Eager to work in a technically challenging environment You'll grow by working with: Terraform, Docker, Kubernetes Modern security tools GitHub Actions, Jenkins AWS, Azure, GCP Teams building external-facing services (web apps, APIs) and internal platforms (CI/CD, admin tooling) to embed security by design. Supporting a public company environment with compliance requirements across multiple standards, including SOC 2 and ISO 27001 Skills that help (we'll support your growth): Application Security: code review, threat modeling, WAF CloudSec: IAM, policy-as-code, workload hardening On-Prem/Corporate: endpoint protection, monitoring and production access control Communication: making risk visible and actionable The Team Environment You'll join a cross-cultural, globally distributed security team that thrives on collaboration, curiosity, and continuous learning. We bring together a wide range of experiences and backgrounds to solve meaningful problems. We support each other through knowledge sharing sessions, workshops, and async collaboration. You'll have the chance to attend industry conferences, participate in internal guilds, and continuously sharpen your skills using our dedicated security training platform. How we work: Autonomy with alignment: own your work, stay connected to purpose Bias for action: ship, learn, improve Enablement mindset: security exists to empower teams, not slow them down Simple and pragmatic: perfect is the enemy of shipped https://job-boards.eu.greenhouse.io/teads1/jobs/4677295101

Naša razvojna ekipa se širi, saj podpiramo vse več novih funkcionalnosti, procesov z veliko medijskih vsebin in izboljšav produkta. Iščemo Full Stack Developerja, ki se suvereno giblje po celotnem stacku: od sheme baze in API-ja do uporabniškega vmesnika, s katerim stranka dejansko dela. Funkcionalnosti boš samostojno peljal/a od ideje do produkcije. Zasnoval/a boš podatkovni model, nad njim zgradil/a čist GraphQL API in vse skupaj povezal/a v hiter, odziven vmesnik v Reactu in Next.js. Vloga je praktična, usmerjena v produkt in ti od prvega dne daje veliko odgovornosti. Kaj boš delal/a: – prevzel/a odgovornost za funkcionalnosti od začetka do konca: od PostgreSQL sheme prek premišljenega GraphQL API-ja do dodelanega React/Next.js vmesnika, – pisal/a GraphQL queryje in mutacije, ki ostanejo učinkoviti in se neopazno ne sprevržejo v stotine klicev v bazo, – prenašal/a dizajne v kakovostne, odzivne UI komponente, – povezoval/a zunanje storitve: plačila, e-commerce platforme, e-pošto, oblačno shrambo, – že privzeto razmišljal/a o performansah in pravilnosti delovanja ter sledil/a obstoječim vzorcem, namesto da bi jih izumljal/a na novo, – sproti izboljševal/a strukturo in vzdrževanost kode na frontendu in backendu. Potek izbirnega postopka: Uvodni pogovor z Ano (Talent Partner) Kratka tehnična naloga Tehnični pogovor z Nejcem (Lead Software Developer) in Urbanom (CEO in soustanovitelj) – Vsaj 2 leti izkušenj z razvojem na frontendu in backendu, – obvezne izkušnje z Reactom, Next.js in GraphQL, – solidne backend izkušnje z Node.js in TypeScriptom, – dobro znanje SQL in PostgreSQL: razumeš, kako baza izvaja poizvedbe, in skrbiš, da ostanejo hitre, brez skrivanja za ORM-jem, – dobro znanje HTML, CSS, JavaScripta in Gita. – izkušnje z razvojem spletnih aplikacij ali dashboardov. – sposobnost samostojnega dela in izvedbe v dogovorjenih rokih. – dobro se znajdeš v hitrem, startupovskem okolju. Prednost bodo imeli kandidati z: – izkušnjami z razvojem SaaS dashboard vmesnikov, – poznavanjem GraphQL-a onkraj osnov, – izkušnjami s samostojnim vodenjem več funkcionalnosti ali projektov od začetka do konca, – zanimanjem za AI funkcionalnosti, kot so asistenti na osnovi LLM-jev ter semantično iskanje in embeddingi. - Nagrado za skupen uspeh: Poleg rednega plačila nudimo letni bonus, vezan na uspešnost podjetja. - Konkurenčno plačilo - Vrhunski AI Toolset: Vsakemu razvijalcu zagotovimo naročnino na Claude Code in ostala napredna orodja za maksimalno produktivnost. - Modern Tech Stack: Delo na najnovejših verzijah Next.js, React Native in GraphQL. Pozabi na "legacy" kodo, pri nas gradimo na svežih temeljih. - Kulturo globokega dela (Deep Work): minimalno število sestankov in klicev. Verjamemo v mir za kodiranje in asinhrono komunikacijo. - Popolno fleksibilnost: Delaj od koderkoli (Full Remote) ali pa se nam pridruži v naši ljubljanski pisarni. - Neposreden vpliv: majhna ekipa pomeni, da tvoja koda in tvoje ideje dejansko oblikujejo produkt, ki ga uporabljajo blagovne znamke po celem svetu. - Osebno rast: mentorstvo s strani izkušenih inženirjev in jasno pot do seniornih ali full-stack pozicij. Ana Kloar [email protected]

Full-time | Remote (+/- 1 CET) | Flexible working hours We are looking for a Network Engineer to own and evolve the network infrastructure that connects and secures the CyberNoc platform running on AWS with Palo Alto Networks firewalls providing a centralized security layer across our environments. Our network footprint is hybrid including - AWS services, APNs, S2S VPNs and other enterprise connections. We would need your energy for: - Design, build and operate secure, highly available cloud networking across our AWS environments — VPCs, transit gateways, VPNs, load balancers and routing. - Managing and hardening our Palo Alto security layer. This involves close collaboration with the DevOps team on connectivity for deployments and microservices, as well as with the Developer team to understand application and traffic requirements. - The role also covers network observability and automation, troubleshooting connectivity and performance issues, and continuously improving our network architecture to ensure high availability and strong security posture for our customers. You have the following qualifications: - Degree or equivalent experience in Computer Science, Network Engineering, or related field. - Experience with Palo Alto Networks firewalls (VM-Series, Panorama) or comparable centralized security/firewall platforms. - Solid understanding of core networking concepts and protocols (TCP/IP, BGP, MPLS, DNS, routing, and switching). - VPNs, site-to-site and client connectivity, Zero Trust network access. - Excellent problem-solving skills and a proactive attitude towards learning and adopting new technologies. - Strong communication and collaboration skills to work effectively with cross-functional teams — English being the primary language. Must Have: - Multi-cloud and Enterprise networking. - Palo Alto Strata Cloud Manager centralized policy management and logging. - Load balancers (ALB/NLB or equivalent), reverse proxies, and WAF concepts. - Containerized and Kubernetes networking (EKS/AKS, CNI, service mesh basics). - Multi-tenancy experience. - Genuine interest in energy industry topics (ICT and energy market knowledge). - A proactive, communicative, and responsible team player with the ability to work independently and solve problems effectively. - Enjoyment in working collaboratively with interdisciplinary and international teams. - Excellent command of English (B2 / C1), both written and spoken. Nice to Have: - Strong, hands-on experience with AWS networking (VPC, Transit Gateway, VPN, Direct Connect, Route 53, load balancers) - Familiarity with infrastructure-as-code tools such as Terraform, CloudFormation and Ansible, and version control systems (e.g., Git) - Proficiency in scripting languages (e.g., Python, Bash) for network automation and tooling - Security certifications (e.g., PCNSA/PCNSE, AWS Advanced Networking Specialty). - SD-WAN or Zero Trust architecture experience. - Linux (Ubuntu/RHEL) administration. - Energy grid and market knowledge. - Observability tools (Prometheus/VictoriaMetrics, Grafana, Alertmanager, ELK stack). What you can expect from us: - A high degree of creative and decision-making freedom combined with a challenging task. - Flat hierarchies with short decision-making processes. - Intensive personal induction tailored to your experience and skills, combined with learning by doing. - A young, competent, agile, and interdisciplinary team in a modern working environment. - Team-oriented, cooperative working atmosphere. - Flexible working hours, including home office. - Continuous development of your professional and personal skills. - We will help you find and grow into your future roles. - Strong corporate support and security by EVN Group, a Europe-wide active energy supplier. We offer you a flexible contract model tailored to your individual needs, as well as a competitive salary that reflects your qualifications and experience. Have we met your interest? We look forward to your application. Please send your CV in English to: Dragana Radojevic Admin Support [email protected] CyberGrid GmbH Rothschildplatz 3 top 3.07. A 1020 Wien, Austria

About us You'll join MTS (Managed Trading Services) - the platform behind Sportradar's risk betting management, processing millions of bets in real time for operators around the world. Our teams own high-throughput, low-latency services: risk and liability, odds and offer, ticket validation, and the data plane that feeds them. We work in a modern cloud-native stack: Java (Spring Boot / Quarkus), Kafka / MSK, gRPC & Protobuf, AWS (EKS, ECS, DynamoDB, Aurora), ArgoCD / GitOps, Terraform, and observability on Grafana, Prometheus and OpenTelemetry. This is a great place to level up: you'll ship real features to production quickly, learn a genuinely rich domain, and grow toward owning larger pieces of it. The challenge - Design, build, test and ship backend services and APIs that are part of a larger, real-time system; and see them through to production. - Deliver in small increments. Break work into concrete, independently shippable pieces that land and get validated as you go, rather than accumulating into one big drop. - Own your changes in production; help with monitoring, alerting and the occasional on-call, and learn how your services behave under real load. - Write clean, well-tested, documented code, take part in code review, and help capture key decisions so the team can build on them. - Learn the MTS ecosystem; how the interconnected services fit together; and grow the independence to make more calls yourself over time. - Work with product managers and senior engineers to turn requirements into well-shaped, deliverable work. - Use modern, AI-assisted development; we actively encourage spec-driven, agentic workflows to move faster with quality. About you Must-have skills - 2+ years of professional experience with Java (Spring Boot, Hibernate, or similar modern frameworks) or another strong OO language. - Good grasp of computer science fundamentals and clean, testable code. - Solid understanding of automated testing; unit, integration, and API testing (JUnit, Mockito, or similar). - Comfortable with CI/CD and collaborative git workflows. - AI-assisted, spec-driven development as part of your day-to-day workflow; not just autocomplete. - Willingness to run what you build; going beyond writing code to owning your changes in production (deployment, monitoring, on-call). Nice-to-have skills - Exposure to AWS, Kafka, Docker / Kubernetes, or relational and NoSQL databases. - Familiarity with gRPC / protobuf, Rest API design, or event-driven systems. - Interest in IaC (Terraform), GitOps, or observability tooling. - Interest in betting, trading, or other real-time / high-throughput domains. Personal traits - Eager to learn; a complex domain and a modern stack, quickly. - Takes ownership of their work and wants to grow toward owning features end-to-end. - A collaborative teammate with good communication who asks questions and gives honest input. - Pragmatic, with a bias toward shipping small and often. - A positive, can-do attitude and a commitment to high professional standards. Our offer - A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia, and the US), including various social events and teambuilding. - Ability to shape your own workday and career via a clearly defined professional and personal development plan. - Opportunity to develop yourself within an inspiring and fast-growing company with our Career framework possibilities. - Vibrant and inclusive community, including Women in Tech and Pride groups, which welcome all participants. - Global Employee Assistance Programme. - Calm and Reulay app (managing stress, maintaining focus, improving sleep, building resilience). - Online training videos. - Flexible working hours. While we appreciate the flexibility and benefits of working from home, we strongly believe that coming together in person fosters stronger connections, encourages collaboration, and drives innovation; both as individuals and as a company. The energy, shared ideas, and team support we experience in the office strengthen the foundation of our success and culture. For this reason, we are an office-first business operating on a fully on-site model, with team members working in the office five days a week to build relationships, exchange ideas, and grow together. Certain exemptions may apply depending on location; your local point of contact can provide further details. Our recruitment process - Initial screening: a quick video chat with our Talent Acquisition Partner. - Introduction interview: meet the technical team and hiring manager to dive into the team and your expertise. - Technical assessment: a short home task with emphasis on your AI-assisted, spec-driven development skills; showing how you use agentic workflows to deliver. - Final interview: discuss your solution and team fit with additional team members. - Final steps: feedback and, if successful, an offer. https://smrtr.io/B-Dps

Montaža orodij in nastavitev na jedrarskih strojih in formarski liniji (DISMATIC), Nastavitev strojev, Transport modelnih plošč v orodjarno, Manj zahtevna popravila modelnih plošč, Dela po navodilih nadrejenega.

Objavljeno pred: 3 dni

At Celtra, we are leading a creative revolution. In a world where digital content consumption is skyrocketing and audience expectations evolve daily, traditional production models can no longer keep up - and that's where we come in. Our creative solutions help media owners and operators monetize inventory more effectively, bridge the creative supply gap for brands and agencies, and deliver faster, smarter, and more personalized experiences. We're not just keeping up with industry shifts - we are setting the pace. Now, we are looking for a Software Developer Intern who will have an opportunity to work on our products, used by top companies and thousands of people on a daily basis. You will be joining one of our cross-functional teams and, with the support of our mentors, you will get your hands dirty by working on some interesting projects. 1. What tools do we use? On the backend, you can find Scala, NodeJS, PHP, MySQL, Spark, Snowflake, and also MongoDB, Kinesis. On the frontend, we use Vue.js, Typescript and Vanilla JS when needed. Everything runs on the AWS cloud, and the ECS cluster orchestrates it. We also love CI/CD, IaC and do daily deployments to ensure your contributions see the light of day as soon as the QA team is happy. We also actively embrace AI-assisted development with Cursor to boost productivity, iterate on PoCs and explore new ways of building software. 2. Your responsibilities: - Developing frontend and backend of our products that are used by top companies and thousands of people on a daily basis. - On the frontend you will be implementing rich experiences in our apps, participating in revamping the client-side architecture and general redesign of the product frontend. - On the backend you will mainly work on our APIs (REST, web sockets) and family of background jobs. - Making sure we maintain a high level of quality by writing automated tests. 1. Qualifications - Understanding of RESTful API architecture. - Knowledge of HTML5 and CSS. - Knowledge of JavaScript. - Knowledge of at least 1 backend programming language (Python, PHP, Ruby, Java, Go, Scala, etc.). - Good verbal and written English communication skills. - Willingness to constantly learn and improve. - Team player. - Active student status in Slovenia. 2. What brings extra points? - Knowledge of Vue.js. - Knowledge of global state management concepts. 1. Why Celtra? - Impact: Create high-quality digital work for leading global brands across a wide range of campaigns and formats. - Culture: We are inventive, collaborative, and proudly a little bit quirky - because doing great work should also be fun. - Flexibility: Hybrid with strong hubs in Ljubljana, London and New York, and team get-togethers that keep us connected. - Growth: You will learn from experienced team members and grow into bigger roles as you go. 2. What do we offer? - A buddy and a mentor that will help you grow professionally, plus a well structured onboarding / professional development plan. - Flexible working hours and hybrid work based on a fixed number of in-office days. - Top-notch working equipment. - Regular team & company events. - Free breakfasts & beverages available in the office. Apply here: https://celtra.com/careers/openings/#op-421095-software-developer-intern-

About the Opportunity & Team This role sits within the Ad Experience team, reporting directly to our Engineering Director based in Montpellier, France. This team is responsible for driving the complete lifecycle of a Creative on the Enterprise side of Teads. We build the core tools that bring digital ads to life: Studio: Our flagship WYSIWYG web application designed to craft and animate rich ad experiences. Creative Editor: A guided workflow for building streamlined creatives quickly and intuitively. Ad Delivery & Players: Proprietary in-browser players that seamlessly render ad formats across millions of web pages. Our technology stack is front-end leaning (Angular, React, and pure TypeScript formats), backed by robust Node.js and Scala services. A major strategic priority for the team is expanding our capabilities by building an intelligent AI agent. This agent will empower creators inside and outside of Teads to design high-performing creatives faster through an innovative, AI-based design scoring system. You will manage and support a dedicated, distributed team of 4 frontend/full-stack engineers (3 based locally in Ljubljana and 1 in Montpellier). You will collaborate daily with a dedicated Product Manager based locally in Ljubljana, while the team's overarching technical vision is further supported by 2 Staff Engineers reporting directly to the Engineering Director. We are looking for someone with Frontend or Full-stack experience. About the Role As the Engineering Manager for Ad Experience, your mission is to mentor, support, and empower your engineering team while collaborating closely with product and cross-functional partners to deliver exceptional creative tools. Success in this role means establishing a highly trusting, psychologically safe environment where engineers can thrive, while ensuring the seamless delivery of our AI agent and core creative applications. We know that great leaders come from diverse backgrounds. You do not need to check every single box to be a strong candidate for this role. If you are passionate about building supportive teams and great products, we want to hear from you. Leadership or Distributed Work Experience: Proven experience guiding and supporting software engineers as a manager, team lead, or mentor; OR significant experience as a senior/principal engineer working autonomously in remote/distributed setups with a strong desire to transition into formal management. Technical Comfort: Strong understanding of modern web ecosystems, comfortably navigating across front-end systems (TypeScript, Angular, or React) and backend setups (Node.js, Scala, or similar). Collaborative Communication: Fluent English with strong active listening skills, empathy, and a highly collaborative approach to problem-solving. Location: Right to work in Slovenia (Ljubljana-based hybrid setup). Bonus Experience building or scaling rich web applications, WYSIWYG editors, canvas tools, or complex web ad formats. Exposure to integrating AI/LLM models or intelligent scoring systems into intuitive, user-facing products. Hands-on experience nurturing cross-border collaboration between international engineering hubs (e.g., France and Slovenia). People Development & Team Culture Nurture and support your team members through regular 1:1s, constructive feedback, and highly tailored career growth plans. Foster an inclusive, trusting, and psychologically safe environment where open communication is championed, diverse perspectives are deeply valued, and ownership is shared. Build strong distributed collaboration practices to maintain a seamless, connected community between your team members in Ljubljana and colleagues in Montpellier. Product Delivery & Technical Direction Partner closely with your local Product Manager and UX design to thoughtfully translate product strategies into actionable milestones, balancing new feature development with platform stability. Guide the continuous development of our creative platforms (Studio, Creative Editor) and browser ad players. Champion the rollout of our AI-assisted design agent and real-time scoring system, encouraging a culture of thoughtful experimentation and shared learning. Operational Excellence & Collaboration Facilitate clear alignment across our full-stack ecosystem (Angular, React, TypeScript, Node.js, and Scala), drawing on the technical expertise of our Staff Engineers. Remove blockers and refine workflows with empathy, ensuring the team can maintain a healthy, fulfilling, and sustainable pace of execution. Connect your team with cross-functional partners across the wider Teads enterprise organization, ensuring your engineers understand the broader business impact of their work. Meaningful scope & real ownership: your scope is bigger than your title. Guide products that power creative experiences for millions of web users globally. Global exposure and genuinely complex challenges at real scale: 2.2Bn users / month and 18Bn ad opportunities / day. Smart, ambitious peers across 30+ markets in a highly collaborative, cross-border setup. A genuinely human culture: high care alongside high accountability, where your well-being and flexibility matter. Real investment in your growth: mentorship, coaching, courses, workshops, certifications, and management programs. https://job-boards.eu.greenhouse.io/teads1/jobs/4981050101