We're building something that doesn't exist yet: an AI immune system for humans. The Umanitek Guardian Agent protects people from deepfakes and digital impersonation by combining intelligence with systems built for verification and scale. If you're excited by the idea of building reliable platforms and backend systems for agents that reason, not just predict, you'll feel right at home. As a Platform Engineer, you'll build and operate the platform powering the Guardian Agent ecosystem. You'll work across backend engineering and infrastructure, building production-ready services while ensuring they can be deployed, monitored, and scaled reliably. Your primary focus will be developing backend services, REST APIs, MCP tooling, and agent runtimes using Node.js and TypeScript. You'll also own key parts of the platform layer: CI/CD pipelines, cloud environments, deployments, observability, and infrastructure automation. This is a hands-on role where ownership and systems thinking matter. You'll help ensure Guardian services are secure, scalable, observable, and easy for the team to evolve. Responsibilities -Build and maintain backend services, REST APIs, MCP servers, and agent tooling using Node.js and TypeScript -Design and operate cloud infrastructure on AWS -Own CI/CD pipelines, deployments, release workflows, and production environments -Build and maintain containerized services using Docker and infrastructure automation tools -Ensure reliability through monitoring, logging, alerting, performance optimization, and security best practices -Troubleshoot production issues across application and infrastructure layers -Collaborate on architecture decisions around AI agents, decentralized systems, and scalable production infrastructure Technical Experience -4+ years of experience in Backend Engineering, Platform Engineering, DevOps, or Infrastructure Engineering -Strong Nest.js, TypeScript and Node.js experience building production backend services -Experience with REST APIs, Express, Nest.js, and microservice architectures -Experience deploying and operating production systems in cloud environments (AWS, DigitalOcean, or GCP) -Strong experience with Docker, CI/CD pipelines, and infrastructure automation concepts -Experience with monitoring, logging, and production troubleshooting -Solid understanding of databases, networking, Linux systems, and security fundamentals Nice to Have -Familiarity with Turborepo and monorepo workflows -Experience with MCP tooling, AI/LLM applications, or agent-based systems -Experience with Docker or advanced container orchestration -Experience with Terraform or infrastructure-as-code workflows -Experience with distributed systems, event-driven architectures, or background workers -Familiarity with decentralized systems or knowledge graph technologies Why Umanitek We're early, lean, and ambitious. You'll work directly with founders and researchers behind OriginTrail and Umanitek, helping build the foundation of AI safety infrastructure used by public institutions, enterprises, and individuals. If that sounds like your kind of hard — come build with us. We offer a market-aligned salary, participation in the employee stock option pool, and clear opportunities to grow into senior and leadership roles as the company scales. Final employer: Umanitek ag Approximate salary: 4000-6000EUR Apply: If interested, please send your CV to [email protected] or apply via our website.
Objavljeno pred: 2 meseca
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
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
We are looking for a Cloud Engineer to join a team of talented engineers who build premium solutions at scale. Every day, we tackle ambiguous and stimulating challenges. Join a highly experienced team who builds quality and responsible advertising, at scale! Our main Engineering challenges at Teads Working in a very high-traffic environment (2.2 billion users per month, 100 billion events per day) with low latency and high availability constraints (2 million requests per second, responses in less than 150 milliseconds). Rich and diverse tech stack and system architecture to optimize for performance, scalability, resiliency, and cost efficiency. We use mostly Java, Scala, Golang, Python, and TypeScript, among others. Management of large datasets with milliseconds order of magnitude access time, to compute in a near real-time complex auction resolution algorithm (18 million predictions per second). Build efficient and easy-to-use web products used by thousands of users working for the world's most premium publishers, advertisers, and agencies. A fast-changing environment where we continuously collaborate with Product teams and constantly adapt our Cloud infrastructure for new features and Products. Bring a wide diversity of profiles to the same level of quality and knowledge. Our Infrastructure Team Running on public cloud providers (AWS, Azure, GCP) as well as on-premise data centers, we are a growing team intentionally composed of diverse skills sets (development obviously, but also data store, software reliability, operational automation, etc.) which aims at delivering a first-class platform for our product development teams. We embrace Reliability Engineering, toil is our enemy while automation at scale is our main ally. What will you do? As part of the Cloud Foundation team, you'll be the master architect of our core infrastructure, with a primary focus on global networking and automated provisioning. You'll bridge the gap between our public clouds (AWS, GCP) and on-premise data centers by building the high-performance connectivity and "Infrastructure as Code" pipelines that tie them together. Your work will ensure that our network is not only secure and resilient but also invisible to the feature teams who rely on your automated workflows to spin up environments at scale. You'll thrive on solving complex routing challenges and streamlining the lifecycle of our resources, always striving for maximum efficiency and speed. Through constant collaboration and knowledge sharing, you'll help us evolve a rock-solid foundation that scales as fast as our ambitions. Your skills and experience: BS in Software Engineering (or extensive experience equivalent to). Good programming abilities. Responsible and proficient adopter of AI tools. Extensive experience building and running workloads in public clouds (AWS, GCP, or both) Strong working knowledge of and experience in IaC technologies, like Terraform. Strong commitment to quality designs, automation, and documentation. Pride in ownership, initiative and collaboration. Eager to learn, discover and become proficient in new tools and languages. Effective communicator; you love to solve problems and are creative in your work. You embrace change and are enthusiastic to learn in order to bring projects to proper completion. Bonus points: Past experience in building, industrializing and running large highly available, high scale and high traffic infrastructure in multiple regions. Past experience in advertising technology or e-commerce. Career Development: Continuous investment in our employees' skills: in-house and external training, internal mobility … Life Balance: A well-balanced work-life for our employees is one of our top priorities: 22 days off per year, 15 days per year of work from anywhere, hybrid work (3 days per week in the office) Wellness: Prioritizing employee well-being through premium work equipment, enjoyable work environment (work-life balance, team building events, summits), remote work subsidy, promoting Diversity & Inclusion with internal & external initiatives, etc. https://job-boards.eu.greenhouse.io/teads1/jobs/4924453101
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
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 are looking to connect with curious, driven Product Design Interns to build our talent pool for upcoming opportunities. If you're excited by the intersection of design, AI, and prototyping, and enjoy experimenting with emerging AI-powered tools, we'd love to hear from you. We are especially interested in candidates who are already experimenting with emerging AI-powered workflows and tools (Figma Make, Claude, Cursor) and who want to explore how these capabilities can transform modern creative tooling. You will collaborate closely with our design, product, engineering, and business teams to shape intuitive, elegant solutions for complex creative AI workflows. You will iterate rapidly, contribute to everything from early concepts to polished prototypes, and bring a strong sense of UX, and aesthetics. 1. What we are looking for: - Designers who see no boundaries between form and function. - Curiosity and hands-on experimentation with AI tools (Figma Make, Claude, Cursor, etc.). - Strong problem-solving instincts, good taste, and a collaborative mindset. - A passion for building high-quality products that empower real users. 2. Your responsibilities: - Research trends and activities in the digital advertising market and professional creative software landscape. - Ask questions and listen actively in order to understand the needs and goals of Celtra's teams for particular design projects. - Assist in the research and development of projects from ideation to launch, collaborating closely with product managers, designers, engineers, and other stakeholders. Requirements: - Active student status in Slovenia. - Strong interest in AI-driven creative tooling, with a willingness to experiment and learn. - A portfolio showcasing strong product design work (UI/UX, visual design, interaction design, or related). - Familiarity with foundational design concepts including information architecture, typography, usability, and user testing. - A self-driven, proactive, and detail-oriented approach to work. - Good English communication skills, both written and verbal. - Ability to thrive in a collaborative, multidisciplinary team environment. What's in it for you: - A mentor, clear goals, and regular check-ins. - A focused, supportive environment. - Opportunities to work directly on impactful features used by global brands. - A front-row seat to how design, engineering, and AI come together to build powerful creative tools. - Flexible working hours and hybrid work environment. - Top-notch working equipment. - A bright, modern office in Ljubljana - plus free meals to keep you energized while you move pixels around. - Regular team & company events. Apply here: https://celtra.com/careers/openings/#op-706305-product-design-intern
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?
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
Iščemo QA-ja/-ko, ki bi se pridružil/-a naši razvojni ekipi v Ljubljani. Kot ključni član ekipe boš sodeloval/-a pri razvoju naših "fintech" produktov in storitev. Opravka boš imel/-a s testiranjem orodij, spletnih aplikacij ter mobilnih spletnih aplikacij za obdelavo kartičnih plačil, z digitalnimi denarnicami, bančnim prometom, brandiranimi kreditnimi karticami, POS sistemi, API integracijami ter drugimi zanimivimi izzivi. vsaj 1 leto izkušenj z ročnim testiranjem, razumevanje REST apijev in izkušnje z orodji, kot so postman/hoppscotch/curl, razumevanje podatkovnih baz/podatkovnih skladišč dobro razumevanje mikrostoritev poznavanje AI orodij tekoče znanje angleškega jezika, poznavanje tracking orodji kot Jira, dobro razumevanje GIT-a, prisotnost v pisarni v Ljubljani 3 dni v tednu. nice to have (ni pa nuja): izkušnje z avtomatizacijo (cypress, playwright) osnovno znanje programskih jezikov JS, TS, Node,…, izkušnje z logging orodji, izkušnje iz fintech sistemov, izkušnje z orodji za monitoring, DataDog, CloudWatch, Grafana …, plačilo od 2000 € do 3000 € in naprej, odvisno od izkušenj in znanja, pogodbo za nedoločen čas in polni delovni čas, zaposlitev preko s.p., plačan dopust, sodobno opremo (mac ali pc), potovanja v ZDA (neobvezno). [email protected] ali pa prijava preko oglasa https://www.linkedin.com/jobs/view/4477163193/
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