Oferty dla Application Engineer praca Wrocław

11.08.2026 | Pełny etat | Wrocław | EPAM SystemsAnalyze existing applications and IT services and develop a roadmap for asset migration, transformation, and automation Design prototypes and create detailed architecture documents Develop a unified strategy for architecture governance, automation, security, implementation, and operations Consult

11.08.2026 | Pełny etat | Wrocław | EPAM SystemsRisks, and assumptions to technical and executive stakeholders Design Azure-based solutions (application modernization, data, AI/ML, Copilot, Fabric) Analyze client systems and define transformation roadmaps Produce architecture documentation and solution blueprints Conduct design reviews and ensure

11.08.2026 | Pełny etat | Wrocław | EPAM SystemsWe are looking for a Senior Cloud Native Developer passionate about building scalable, resilient, and observable cloud-native applications with AI at the core. The ideal candidate combines deep Python expertise with hands-on cloud engineering experience and the ability to design and deliver AI

11.08.2026 | Pełny etat | Wrocław | EPAM SystemsCollaborate within a distributed (onshore/offshore) Agile team Apply object-oriented design principles (SOLID) across development tasks Build and deploy applications following Microsoft best-practice coding standards Develop and maintain CI/CD pipelines for streamlined delivery Contribute to web front-end

11.08.2026 | Pełny etat | Wrocław | EPAM Systemsapplications, including Kubernetes clusters and network connectivityMentor and guide team members through knowledge-sharing and training sessions to enhance technical expertise across the team Requirements 5+ years of experience in DevOps, Cloud Engineering or related rolesAdvanced qualifications and hands

11.08.2026 | Pełny etat | Wrocław | EPAM SystemsWe are looking for a hands-on AI Engineer to design, build, and maintain conversational AI agents in cloud environments. The role includes enabling interactions via voice, chat, email, or APIs, connecting AI to corporate systems and external models, and implementing evaluation and feedback