DevOps / Platform Engineer (REF5431C)

We are seeking a talented AI Platform Engineer to become a key member of our innovative AI Fabric Team at Instructure, a leader in educational technology. In this role, you will leverage your expertise in artificial intelligence and software engineering to develop cutting-edge platforms that enhance learning experiences for users worldwide.As an AI Platform Engineer, you will collaborate closely with data scientists, product managers, and other engineers to design, implement, and optimize our AI-driven solutions. Your contributions will directly impact the effectiveness of our educational tools and the success of our mission to improve educational outcomes.

We are seeking a talented and innovative AI Engineer to join our dynamic team at Deutsche Telekom IT Solutions. In this role, you will be pivotal in developing and implementing cutting-edge AI solutions that enhance our road user services. You will collaborate with cross-functional teams to design and optimize algorithms that drive our projects forward.

We are seeking a highly skilled and motivated Senior AI/ML Platform Engineer to join our dynamic team at Instructure. In this role, you will collaborate with cross-functional teams to design, develop, and enhance AI and machine learning platforms that power our innovative educational technologies. Your expertise in AI/ML frameworks will be pivotal in driving our product development forward.

Join Our Innovative Team At Betsson Group, we are on the lookout for a skilled AI Engineer who is ready to create top-tier applications and solutions. In this role, you will design and develop cutting-edge AI solutions, context systems, and AI Agents, while also maintaining and enhancing our diverse range of AI products. Engage in research on advanced models and work alongside our product and architecture teams to deliver high-performance services enjoyed by millions of players. This is your chance to leverage state-of-the-art technology and contribute to world-class products. Your Role and Responsibilities: Focus on developing and maintaining modular and reusable systems while exploring new technologies to enhance our offerings. Participate in design discussions, troubleshoot complex challenges, and contribute directly to our codebase. Play an integral role in fostering a collaborative and high-performing team culture, including code reviews and supporting fellow engineers and tech leads. Requirements: Demonstrated experience in developing and delivering production-ready AI applications. Strong technical foundation in Generative AI, Large Language Models (LLMs), and Prompt Engineering. Experience in building context systems utilizing RAG, Vector Stores, and MCP. Proficient in developing AI Agents using frameworks such as LangGraph and LangChain. Experience in mentoring or leading engineers in a technical capacity.

Join a prominent global consulting and professional services firm dedicated to large-scale enterprise transformation initiatives. Our team is at the forefront of AI integration across key business functions, empowering a major international software company to fully embrace a data-driven approach.As an AI Engineer, you will work within a diverse, international team to deliver enterprise-level AI solutions that revolutionize operations within Finance, Procurement, and HR sectors. The primary focus will be on practical deployment—designing, constructing, and scaling production-ready AI systems utilizing contemporary cloud and engineering methodologies.Key Responsibilities:Architect, develop, and launch AI and generative AI (LLM-based) solutions from initial concepts to full-scale enterprise applications.Establish and sustain scalable data pipelines and model deployment workflows.Create backend services and APIs for AI-based applications (e.g., FastAPI, Flask).Implement CI/CD and MLOps methodologies to automate model training, testing, and deployment processes.Develop and integrate multi-agent and LLM-based systems into existing business workflows.Guarantee the reliability, scalability, observability, and compliance of deployed solutions.Collaborate closely with product owners, data scientists, and architects to effectively translate business requirements into technical solutions.Promote engineering excellence and mentor junior team members as necessary.Qualifications:Bachelor's degree in Computer Science or a related discipline.Proficient programming skills in Python (Java is also acceptable).Experience with backend frameworks (FastAPI, Flask, Django, or similar).Hands-on experience with Docker and Kubernetes.Familiarity with CI/CD and MLOps pipelines.Cloud technology experience (Azure, AWS, or Databricks).Background in data processing, ETL pipelines, and APIs.Understanding of distributed systems and large-scale data platforms.Excellent communication skills in English.A proactive, solution-oriented mindset with a strong sense of ownership.Preferred Skills:Experience with generative AI or LLM frameworks (e.g., LangChain, CrewAI).Familiarity with enterprise platforms such as SAP AI Core or SAP BTP.Experience in Agile environments (Scrum, SAFe) and tools like Jira.Benefits:Engage in transformative AI projects at a significant scale.Work with a modern tech stack and cutting-edge AI technologies.Collaborate in an international and supportive work environment.Enjoy a hybrid working model.Access continuous learning and professional development opportunities.Receive a competitive compensation package with standard corporate benefits.Be part of a team culture that prioritizes quality and innovation.

mpsolutions is searching for a Lead Infrastructure & Platform Engineer for Cloud & ML Serving to join the team in Budapest. This position centers on building and maintaining the core platform that delivers machine learning models in real time to a wide user base. The work supports AI and imaging projects, and offers the opportunity to shape both cloud and serving architecture from the ground up. Main responsibilities Design and maintain cloud infrastructure across AWS, GCP, and Azure. Deploy and scale machine learning models in production environments. Develop high-load backend systems, including APIs, inference pipelines, and data processing components. Contribute to production server code, not just operational tasks. Make platform-level decisions focused on performance, latency, and reliability. Requirements Minimum 8 years of experience in cloud, platform, or distributed systems roles. Deep knowledge of AWS, Kubernetes, CI/CD pipelines, and Infrastructure as Code (IaC). Hands-on experience with ML serving, GPU inference, and real-time systems. Strong programming skills in Python and C++ (beyond basic scripting). Understanding of scaling, latency, fault tolerance, and observability in production systems. Fluency in English. What makes this role different This position blends platform engineering, backend development, and machine learning serving. It is not a traditional DevOps job. Full ownership of the stack, from infrastructure through backend systems to ML model serving. Work on systems that handle real-world, high-scale traffic. Contribute in a startup environment where technical decisions directly shape the product. For those interested in building foundational platforms and making key technical choices, mpsolutions welcomes a conversation.

Bosch Group is hiring a Data Scientist and AI Engineer in Budapest. This position centers on applying data analytics and artificial intelligence to improve products and processes. Role overview Work closely with colleagues from different disciplines to design and build machine learning models. The focus is on creating solutions that add value to Bosch Group’s offerings. What you will do Develop and implement machine learning models Use data analytics to identify opportunities for improvement Collaborate with cross-functional teams to integrate AI-driven solutions Requirements Experience in data science and artificial intelligence Ability to work with teams from various backgrounds Strong skills in building and deploying machine learning models

Join our dynamic team at Deutsche Telekom IT Solutions as a Data Engineer specializing in Fabric. In this role, you will be pivotal in designing and implementing robust data solutions that drive business insights and support our operations across various platforms. Your expertise in data engineering will help shape the future of our data infrastructure.

Join Instructure as a Senior Applied AI Engineer specializing in Retrieval and Semantic Systems. In this pivotal role, you will leverage your extensive expertise in artificial intelligence to enhance the capabilities of our products and deliver innovative solutions. You will collaborate with cross-functional teams to design, develop, and implement advanced AI models that optimize information retrieval and semantic understanding.

Wise is hiring a Senior Software Engineer for the Contact Automation team in Budapest. This position focuses on building automation systems that use artificial intelligence to streamline operations and enhance the experience for users worldwide. Main responsibilities Design and build AI-driven automation solutions that support contact processes Collaborate with colleagues from different areas to deliver systems that are reliable and scalable Improve and update existing automation tools to increase their efficiency and impact What Wise is looking for Strong skills in software development Ability to approach problems with creativity and practical solutions Interest in new technologies and a drive to improve user experience

Location: Budapest, Hungary (hybrid) or remote in the EU, with the first month onsite.Seniority: all levelsFull-timeAbout the RoleJoin a dynamic team where your contributions significantly influence our projects. This position is not merely about speeding up code generation; instead, you will leverage AI tools daily to enhance your effectiveness in delivering essential features. You will be responsible for shipping new functionalities, troubleshooting production challenges, and critically assessing our existing development processes.Your ResponsibilitiesTake full ownership of features from concept to deployment.Utilize AI coding tools (Claude Code, Cursor, agents) regularly in your workflow.Debug and verify AI-generated code, knowing when to trust the output and when to investigate further.Collaborate closely with a compact, high-performance team where every member's input shapes the project's direction.Challenge existing assumptions, including your own.Your ProfileEssential Qualifications:Experience with personal projects that involve AI tools; demonstrate your thought processes and interactions with these technologies.Strong decision-making skills under pressure: assess AI outputs to determine what to accept, reject, or validate.Innate curiosity and motivation: you explore new ideas, iterate on solutions, and proactively take initiative.Ambition to set and strive for challenging goals.More Important Than Experience:A strong product intuition: you grasp the reasons behind building features, not just the technical 'how.'Quick learning ability and adaptability.Instincts for debugging: when something seems off, you investigate until you find clarity.

Lead Server Engineer (AI / GPU Infrastructure)Join a pioneering technology company at the forefront of innovation, specializing in groundbreaking 3D and imaging solutions powered by artificial intelligence and high-performance computing capabilities. Our ambition is to build a next-generation platform that facilitates the training and execution of complex ML/AI models on scalable, GPU-based infrastructure.In this role, you will be instrumental in designing and managing our entire compute infrastructure, ranging from GPU clusters to distributed systems and hybrid cloud architectures. Your expertise will not only influence operations but also define the system architecture, scalability, and performance.

Join our dynamic team in Budapest, Hungary, where we embrace a hybrid work model. We are seeking passionate individuals eager to explore the world of AI and technology.Seniority: Ideal for candidates with less than 2 years of experience.This is a full-time position.Who We Are Looking ForAt CraftDocs, we welcome builders who challenge norms. Whether you are a recent graduate or transitioning from another field, your curiosity and innovative spirit matter more than your past experiences. If you've created something impactful using AI and believe in the power of technology to change the world, we want to hear from you!Key QualificationsShowcase Your Work: Present a project that highlights your AI collaboration or creation—this could be a side project, an experiment, or a passion project.Rapid Learner: You adapt quickly and iterate your ideas with minimal guidance.Strong Judgment: You possess an innate ability to discern quality work and understand when something needs improvement.Proactive Ownership: You take initiative and don’t wait for directions.Why This Role ExistsAt CraftDocs, we have discovered that individuals with high learning velocity and strong judgment can achieve results that previously required years of experience. AI tools have revolutionized possibilities in our field, enabling you to learn and execute skills with a reliable guide by your side.We prioritize traits over tenure: curiosity, drive, quick learning, willingness to iterate, and the bravery to explore new avenues.A Note for JuniorsLacking access to advanced AI tools? No problem! For candidates who pass our initial selection, we offer API credits to help you realize your projects. We value your potential over your budget.

Role overview Scale AI is seeking a Backend Software Engineer based in Budapest, Hungary. The position centers on designing and building backend systems that support business operations worldwide. The main focus is on delivering solutions that are both scalable and efficient, while upholding strong performance and reliability standards. What you will do Develop and maintain backend systems that form the foundation of Scale AI’s products. Work closely with a skilled team to deliver infrastructure that is reliable and responsive. Contribute to projects with a global reach, impacting both customers and partners.

Jobgether is hiring a Multicloud Platform Engineer based in Hungary. This position centers on designing, implementing, and maintaining cloud solutions that span several platforms. The goal is to deliver reliable, secure, and high-performing systems that support client requirements. Role overview The Multicloud Platform Engineer works closely with other engineers and teams from different disciplines. Collaboration is essential to develop and deliver solutions that align with both technical and business needs. What you will do Design and build cloud-based systems across multiple platforms Maintain and optimize existing cloud infrastructure for performance and security Work with cross-functional teams to ensure solutions meet client expectations Requirements Experience working with multiple cloud platforms Strong focus on system performance and security Ability to collaborate with diverse engineering and business teams

Join our dynamic team as an OpenShift Platform Engineer, where you will play a crucial role in designing, deploying, and managing OpenShift environments. As part of Deutsche Telekom IT Solutions, you will collaborate with cross-functional teams to enhance our cloud infrastructure, ensuring optimal performance and reliability.

SEON serves as the pivotal hub for fraud prevention and AML compliance, aiding numerous companies globally in thwarting fraud, mitigating risk, and safeguarding revenue. Leveraging over 900 real-time, first-party data signals, SEON enhances customer profiles, identifies dubious activities, and simplifies compliance workflows - all centralized in one platform. With a commitment to delivering richer data, more adaptable and transparent analysis, and a quicker time to value than competitors, SEON has successfully helped businesses reduce fraud by 95% and achieve an impressive 32x ROI. Our rapid growth is fueled by partnerships with some of the world's most innovative digital brands, including Revolut, Wise, and Bilt.Join the Platform Engineering team at SEON, the driving force behind our technical advancement. This team is focused on constructing the fundamental infrastructure and pipelines that empower product engineers to deploy code securely, swiftly, and independently. We view our platform as a product and our developers as customers, aiming to eliminate friction and minimize cognitive load throughout the software delivery lifecycle.We are in search of a visionary and seasoned Senior Manager of Platform Engineering to lead our talented team of Platform Engineers. In this pivotal role, you will be instrumental in designing the 'Golden Paths' that standardize and expedite our development processes, ensuring that our infrastructure evolves in tandem with our rapid business expansion. You will work closely with Software Engineering, Data, and SRE teams to translate requirements into a unified platform strategy. Your proven ability to lead high-performing teams in complex, fast-paced environments will be essential, as will your skill in organizing and inspiring a team amidst ongoing growth and transformation.This position offers flexibility, allowing you to work from Budapest with a hybrid schedule or remotely from anywhere within the European Union, with occasional travel to our other offices.

Join us as an AI Data Specialist focused on enhancing AI-generated content in Hungarian. Job Type: FreelanceLocation: RemoteWork Schedule: Part-time - 10+ hours per week, flexible hours.Start Date: ImmediateDuration: To be confirmedRate: Rates vary based on location Be a Part of AI's FutureAre you a student, recent grad, stay-at-home parent, or professional searching for flexible remote work? If you're passionate about shaping the growth and safety of AI models, we'd love to hear from you! Your ResponsibilitiesThe role includes various data-related tasks such as:- Collecting, evaluating, and annotating data.- Conducting pairwise comparisons.- Performing counting tasks.- Tagging and labeling objects across various content types (audio, video, images, etc.) Qualifications We Seek:- Native-level proficiency in Hungarian- English Proficiency: Fluent or advanced (B2–C2)- AI & Data Skills (Preferred): Experience in machine learning tasks, data collection, preprocessing, evaluation, and annotation. What We Provide- Flexible work schedule- Opportunity for additional income- Timely payment- Ideal for students, part-time workers, or stay-at-home parents

Become an integral part of our International Team and contribute to the development of innovative greenfield software for one of the most significant projects within the Deutsche Telekom Group. Your contributions will directly affect our 30 million customers, empowering them to request fiber network installations at their homes and monitor the progress of these installations.Our solution encompasses a comprehensive suite of applications and websites designed to streamline end-to-end processes spanning fiber pre-ordering, ordering, installation, service management, and customer support.Your Role as an IAM DevOps EngineerIn this role, you will be responsible for developing and managing Keycloak/RHSSO-based Identity Access Management (IAM) capabilities on Kubernetes. This will facilitate secure single sign-on (SSO) and machine-to-machine access for our internal products.You will enhance team development by standardizing deployment, configuration, and troubleshooting practices while continuously driving improvements in reliability, security, and automation related to the IAM platform.Your ProfileMinimum of 3 years of experience in a DevOps or Platform Engineer (or Site Reliability Engineer) role with hands-on experience in Kubernetes operations within production environments.Strong understanding of OAuth 2.0 and OpenID Connect principles for modern IAM integrations and SSO workflows.Practical experience with GitOps delivery methodologies utilizing Argo CD.Experience with containerization (Docker) and CI/CD pipelines (e.g., GitLab) from code commit to production deployment.Proficiency in scripting languages such as Python and Bash for automation and troubleshooting.IAM, Keycloak, and Troubleshooting ExpertiseUnderstanding of IAM fundamentals including authentication vs. authorization, identity lifecycle and provisioning flows, role/permission model design, user types, and machine-to-machine concepts.Hands-on experience with Keycloak/RHSSO, including realms, clients, roles, scopes, identity providers, and themes, as well as troubleshooting authentication and authorization workflows end-to-end.Configuration-as-code mindset for Keycloak management, promoting changes across environments using versioned configurations.Ability to diagnose and resolve platform issues, contribute to incident response, and assist in upgrades and migrations.Cloud, DevOps, and Containerization SkillsExperience with Kubernetes and networking, including deployments, services, ingress, environment-specific configurations, and secure management of secrets/config maps.Knowledge of packaging and delivery using Helm charts and Argo CD application management for GitOps workflows.Experience in CI/CD practices using GitLab, including building, testing, and deploying containerized workloads.Familiarity with Infrastructure as Code (IaC) methodologies for managing environments and application infrastructure.Observability experience with tools such as Grafana, Prometheus, and ELK.