Implement best practices for software build, deployment, and maintenanceWork with our infrastructure organization on environment setup, automation, and streamlining the stand up and scale out of infrastructureDevelop and improve our monitoring and alerting systemsAssist with capacity planning and load testing of our applicationsAutomate the deployment of our platform and all the systems it depends onAdministration of AWS/AZURE resources including provisioning, monitoring and maintenanceManage Kubernetes cluster and continuously improve the deployment process of our applicationsWork cross-functionally with Engineering teams to outline the DevOps execution strategy for various projectsDrive automation efforts across the organization utilizing Infrastructure as Code (IaC) using Terraform, Configuration Management, and Continuous Integration (CI) such as Jenkins / Continuous Delivery (CD)Bachelor’s Degree in Computer Science, Information Systems, or equivalent experience5-8 years’ experience in IT infrastructure work and expertise on AWS/AZURE platformsStrong knowledge of Docker containers and KubernetesExpertise in Linux Operating Systems, Networking, and Database conceptsPrior exposure to continuous integration/delivery tools like Jenkins/GitHub ActionsExperience with scriptingGood combination of technical and interpersonal skills with strong written and verbal communication; detail-oriented with the ability to work independentlyCertifications in AWS/AZURE and Kubernetes are a plusGerman Language (nice 2 have)We have been developing individual software for banks and insurance companies for more than 10 years.
Ensure quality through unit testing, code reviews, and close collaboration with your team. What You Bring A degree in Computer Science or a comparable technical field. Solid experience in frontend development – especially with TypeScript and Vue.js. Ideally, familiarity with Docker, Kubernetes, Linux/Windows, and GitLab.
REST/gRPC) nach Clean-Architecture/SOLID und Domain-Driven-Design; Review, Refactoring und Technical Debt Management gehören dazu Qualitätssicherung durch automatisierte Tests (Unit/Integration), Code-Reviews und statische Analyse; Ende-zu-Ende-Tests für kritische Lagerprozesse Observability und Betriebssicherheit: Logging/Tracing/Metrics (OpenTelemetry), Feature-Toggles, Fehlerbudgets und Post-Mortems Security by Design nach OWASP ASVS (z.
REST/gRPC) nach Clean-Architecture/SOLID und Domain-Driven-Design; Review, Refactoring und Technical Debt Management gehören dazu Qualitätssicherung durch automatisierte Tests (Unit/Integration), Code-Reviews und statische Analyse; Ende-zu-Ende-Tests für kritische Lagerprozesse Observability und Betriebssicherheit: Logging/Tracing/Metrics (OpenTelemetry), Feature-Toggles, Fehlerbudgets und Post-Mortems Security by Design nach OWASP ASVS (z.
Key Responsibilities: Design, build, and operate cloud-based services using modern container technologies (e.g., Kubernetes, Docker) and Platform-as-a-Service (PaaS) solutions.Integrate new technologies and products into the existing cloud infrastructure, ensuring compatibility and long-term sustainability.Support the integration and implementation of additional software components and integration systems following agile methodologies.Contribute to the definition of functional and technical requirements in collaboration with cross-functional teams.Evaluate emerging technologies within the context of existing solutions and support software development teams through enablement and knowledge transfer.Ensure stable and secure operation of the cloud infrastructure, including scalability of services, maintainability, performance optimization, and security hardening.Monitor production systems and cloud services, proactively detect issues, and ensure fast recovery and incident resolution when required.
Deliver backend development for a multi-agent evaluation platform within an agile setup Provide technical consulting to the project team and contribute to solution design Build and maintain backend services aligned with defined functional requirements Design and implement APIs for seamless integration across internal applications Collaborate with cross-functional teams to clarify and solve technical integration needs Apply modern data processing and analysis techniques to support platform evolution Improve system performance through testing strategies, code reviews, and tooling enhancements Support UI implementation and ensure smooth deployment in cloud and HPC environments Academic background or equivalent experience in a computing, engineering, or data-related field Strong expertise in Python programming Solid understanding of REST API design and implementation Hands-on experience with machine-learning engineering, ideally in scientific or technical domains Proficiency with CI/CD pipelines using GitLab Experience with GitOps workflows and Kubernetes-based service hosting Ability to implement or contribute to user interface components Knowledge of LLMs, multi-agent frameworks, and working in high-performance computing environments Opportunity to work on an award-winning, innovative scientific-technology project Highly collaborative, cross-functional environment with modern engineering practices Exposure to advanced ML, multi-agent systems, and cutting-edge data technologies Flexible hybrid working model with a dynamic team culture Ihr Kontakt Referenznummer 863129/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
Deliver backend development for a multi-agent evaluation platform within an agile setupProvide technical consulting to the project team and contribute to solution designBuild and maintain backend services aligned with defined functional requirementsDesign and implement APIs for seamless integration across internal applicationsCollaborate with cross-functional teams to clarify and solve technical integration needsApply modern data processing and analysis techniques to support platform evolutionImprove system performance through testing strategies, code reviews, and tooling enhancementsSupport UI implementation and ensure smooth deployment in cloud and HPC environments Academic background or equivalent experience in a computing, engineering, or data-related fieldStrong expertise in Python programmingSolid understanding of REST API design and implementation Hands-on experience with machine-learning engineering, ideally in scientific or technical domainsProficiency with CI/CD pipelines using GitLabExperience with GitOps workflows and Kubernetes-based service hostingAbility to implement or contribute to user interface componentsKnowledge of LLMs, multi-agent frameworks, and working in high-performance computing environments Opportunity to work on an award-winning, innovative scientific-technology projectHighly collaborative, cross-functional environment with modern engineering practicesExposure to advanced ML, multi-agent systems, and cutting-edge data technologiesFlexible hybrid working model with a dynamic team culture Ihr Kontakt Referenznummer 863129/1 Kontakt aufnehmen Telefon:+41 44 225 50 00 E-Mail: positionen@hays.ch Anstellungsart Freiberuflich für ein Projekt
Strategic new role to accelerate AI adoption across development, operations, and delivery Acts as the technical AI coach for engineering and DevOps teams Designs and implements AI integration concepts within DevOps workflows Guides teams on how AI enhances CI/CD pipelines, Git workflows, code reviews, and security Builds prototypes and reference implementations for AI assisted pipelines and intelligent automation Supports integration of AI tools into continuous delivery and operational processes Advises on cloud-based AI delivery (AWS, Azure, etc.)
Strategic new role to accelerate AI adoption across development, operations, and delivery Acts as the technical AI coach for engineering and DevOps teams Designs and implements AI integration concepts within DevOps workflows Guides teams on how AI enhances CI/CD pipelines, Git workflows, code reviews, and security Builds prototypes and reference implementations for AI assisted pipelines and intelligent automation Supports integration of AI tools into continuous delivery and operational processes Advises on cloud-based AI delivery (AWS, Azure, etc.)
You communicate very well in German and English and are able to convey technical content clearly and confidently to cross‑functional teams and stakeholders. We are looking forward to your application and to applicants who enrich our diverse culture!
OpenAPI) ·5+ years of experience in overall software development lifecycle ·Familiarity with using CD/CI tooling such as Git, Jenkins and Maven Passion about great customer experienceGood communication skills to sometimes explain your work to a non-technical audienceExcellent written and spoken English; we’re an international team An ideal candidate would also have: ·Basic knowledge of Virtual Assistant technologies (e.g.
Collaborate with architects and product owners to ensure secure, reliable, and high-performance releases. Mentor junior developers and contribute to technical leadership within the team. Your Profile: Degree in Software Engineering, Computer Science, Computer Engineering or related technical discipline 5+ years of experience in Java backend development, with strong expertise in Spring Boot and microservices architecture.
OpenAPI) • 5+ years of experience in overall software development lifecycle • Familiarity with using CD/CI tooling such as Git, Jenkins and Maven • Passion about great customer experience • Good communication skills to sometimes explain your work to a non-technical audience • Excellent written and spoken English; we’re an international team An ideal candidate would also have: • Basic knowledge of Virtual Assistant technologies (e.g.
Collaborate with architects and product owners to ensure secure, reliable, and high-performance releases. Mentor junior developers and contribute to technical leadership within the team. Your Profile: Degree in Software Engineering, Computer Science, Computer Engineering or related technical discipline 5+ years of experience in Java backend development, with strong expertise in Spring Boot and microservices architecture.
What you can expect We are looking for an experienced Platform Architect to design and drive future-oriented platform architectures. In this role, you will take full ownership of technical solution design, working closely with Software and Enterprise Architects to ensure scalable, secure, and high-performing platform ecosystems aligned with the organization’s long-term strategy.
What makes you stand out You hold a Bachelor's or Master's degree in Computer Science, IT, or a comparable technical qualification.You bring solid professional experience in cloud engineering – especially with Kafka and Kubernetes.You ideally have relevant certifications in cloud technologies or cloud architecture.You communicate clearly, proactively, and with strong structure – both in technical discussions and in cross‑team collaboration.You can explain complex technical topics in an understandable way, promote active knowledge sharing, and support others with an open and cooperative mindset.You have very good English skills; German is an advantage but not essential.
As part of our team, you will take on the following responsibilities: You analyze, design, and develop integrations in accordance with established standards and patterns, working closely with cross‑functional teams.You create technical specifications, data models, as well as operational and integration concepts.You advise various teams on efficient integration solutions and assess the associated effort and benefits.You take responsibility for the entire lifecycle of an integration, including design, mock, development and testing, UAT, go‑live, hypercare, and troubleshooting.You actively contribute to the further development of integration standards and patterns in order to increase the reusability of components.You ensure the quality of integration components, for example through code reviews, technical exchange with other developers, and the continuous improvement of internal development standards.You optimize the performance of existing integration solutions while keeping stability and scalability in focus.