Zaposlitev "soc"

-znanstvenoraziskovalno delo: • na projektu TRP N5-0339 Analiza sistemov socialne varnosti za posebne skupine delavcev na Madžarskem in v Sloveniji • na projektu CRP V5-2501 Celovita analiza prevoda Konvencije o pravicah invalidov • na programu P5-0217 Vključevanje pravnega izrazja evropskega prava v slovenski pravni sistem -organiziranje, usklajevanje, načrtovanje in spremljanje dela pri raziskovalni dejavnosti (v okviru raziskovalne skupine), -povezovanje raziskovalne dejavnosti z drugimi raziskovalnimi institucijami, -sodelovanje pri oblikovanju raziskovalnih programov in sodelovanje pri dodiplomskem in podiplomskem študiju, -strokovno sodelovanje z naročniki raziskovalnih nalog, -pripravljanja poročil in elaboratov o raziskavi, skrb za varno in zdravo delo delavcev in študentov enote, za ustrezno izobraževanje in poučenost oseb ki prihajajo v stik z nevarnimi snovmi, uporabi osebne varovalne opreme in drugih varnostnih ukrepih, -opravljanje drugih nalog, ki vsebinsko sodijo v širše strokovno področje delovnega mesta.

Objavljeno pred: 6 dni

About us: Become a key contributor within our engineering enablement team, taking on a central role in building internal products for the organisation including: An Internal Developer Platform (IDP) to empower software teams. A central pipeline to enable the SLDC. An observability platform to give high value telemetry. An Infrastructure platform to host the organisations workloads through containers. We're seeking someone with a preferably software engineering background who understands developer workflows, is passionate about automation, and thrives on making complex systems accessible and reliable for all. The challenge: - Work alongside development teams to design, automate, and scale resilient infrastructure and CI/CD pipelines optimized for rapid, secure delivery. - Develop reusable frameworks and abstractions that remove friction in deploying, running, and monitoring services — enabling developers to focus on creating outstanding products. - Drive the adoption of engineering best practices by mentoring peers, shaping standards, and transforming outdated processes into modern, maintainable solutions. - Contribute to automation initiatives to minimize manual tasks, reduce operational risk, and ensure consistency across both legacy and new applications. - Engage proactively with engineering teams to gather feedback and continuously evolve our platform, tooling, and developer experience. About you: - Experience in software engineering, with hands-on exposure to building and supporting production-grade systems. - Understanding of Kubernetes and cloud platforms (preferably AWS); comfortable deploying and operating scalable, resilient workloads. - Expertise in infrastructure as code (Terraform, Ansible, or similar) and a natural inclination toward automation. - Proficiency in scripting or programming languages (Python, Go, Bash, etc.). - Comprehensive grasp of CI/CD pipelines, observability, and security best practices. - Collaborative and communicative — adept at mentoring teammates, advocating for modern engineering practices, and thriving in cross-functional squads. - Motivated by the opportunity to build internal platforms that abstract complexity and enhance developer productivity at scale. 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. Our recruitment process: - Initial Screening: A quick chat with our Talent Acquisition Partner to understand your background and expectations. - Technical Interview: Meet with the Hiring Manager to discuss your experience and technical expertise. - Onsite Interview: Meet with the local technical team and take a tour of our office for a final meet-and-greet. - Finals Steps: Receive feedback and, if successful, an offer! https://smrtr.io/zVpRD

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

opravljanje administrativnih nalog za potrebe izvajanja dolgotrajne oskrbe in zdravstvene nege; sprejemanje, evidentiranje, razvrščanje, urejanje in odprema dokumentacije; skeniranje, kopiranje, tiskanje, razmnoževanje in arhiviranje dokumentov; vodenje, urejanje in ažuriranje spisov uporabnikov ter skrb za pravilno in pregledno dokumentiranje; vnašanje in ažuriranje podatkov v informacijske sisteme, evidence in aplikacije, povezane z izvajanjem dolgotrajne oskrbe; vnos podatkov in adm. obdelava dokumentacije, povezane z uveljavljanjem in izvajanjem pravic oziroma storitev dolgotrajne oskrbe; priprava dokumentacije in podatkov za potrebe strokovnih delavcev; administrativna podpora socialnim delavcem in drugim strokovnim delavcem pri njihovem delu; evidentiranje prejetih in izdanih dokumentov ter skrb za sledljivost dokumentacije; urejanje in vzdrževanje evidenc uporabnikov, skladno s pooblastili in veljavnimi predpisi; priprava seznamov, preglednic, izpisov in drugih administrativnih pripomočkov; pomoč pri pripravi poročil, statističnih pregledov in drugih adm. evidenc; skrb za urejenost dokumentacije v fizični in elek. obliki; priprava dokumentacije za arhiviranje ter izvajanje nalog v zvezi z arhiviranjem; skrb za varovanje osebnih in drugih zaupnih podatkov ter ravnanje z dokumentacijo v skladu s predpisi; sodelovanje pri zagotavljanju pravilnega, pravočasnega in urejenega pretoka dokumentacije med OE oz. zaposlenimi; opravljanje ostalih del po navodilu nadrejenega

Vodenje projekta - Vodenje izvedbe in vsakodnevnega upravljanja projekta v vseh fazah ter zagotavljanje pravočasne izvedbe dejavnosti in doseganja ciljev. - Priprava izvedbenih načrtov, spremljanje napredka in reševanje izzivov pri izvajanju. - Vodenje zbiranja dokazov, na katerih temelji projekt. - Koordinacija virov ter nadzor dela projektnega asistenta in zunanjih strokovnjakov. Upravljanje partnerstev - Sodelovanje z donatorjem ter nacionalnimi in mednarodnimi deležniki. - Koordinacija foruma za pregled delovnih praks (»Practice Review Forum«), sestankov in posvetovanj. - Predstavljanje DCAF Ljubljana na sestankih, delavnicah in dogodkih. Spremljanje in skladnost - Spremljanje napredka glede na cilje in kazalnike po načelih upravljanja na podlagi rezultatov. - Upravljanje tveganj in vzdrževanje registra tveganj. - Vključevanje standardov enakosti spolov, socialne vključenosti, človekovih pravic in občutljivosti za konflikte. - Zagotavljanje skladnosti z zahtevami donatorja in politikami DCAF. - Spremljanje financ projekta v sodelovanju s projektnim asistentom in finančno službo DCAF. Poročanje in prepoznavnost - Priprava vsebinskih in finančnih poročil za donatorja in vodstvo DCAF. - Zagotavljanje prepoznavnosti projekta v skladu z zahtevami donatorja. - Vodenje projektne dokumentacije ter podpora spremljanju, vrednotenju in revizijam. Delodajalec želi tudi napotovanje kandidatov iz evidenc zavoda

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