June 8, 2026
Senior EMEA Cloud Platform & Infrastructure Engineer
Senior • Remote
1,500 - 1,700 PLN/hr
Warsaw, Poland
🚀 Senior EMEA Cloud Platform & Infrastructure Engineer
📍 Fully Remote (Poland) | 💰 Up to 1.700 PLN/day | B2B Contract
We are looking for a Senior EMEA Cloud Platform & Infrastructure Engineer to join an advanced AI and Customer Experience engineering initiative. You will play a key role in building and scaling next-generation AI-driven customer experience platforms, leveraging Google Cloud technologies and Generative AI.
🔧 Key Responsibilities
Architect and develop advanced AI agents using Gemini Enterprise for Customer Experience, Gemini models, and CXAS, with focus on reasoning, grounding, and tool-use capabilities
Lead migration of legacy conversational systems (Dialogflow CX, Playbooks, third-party bots) to modern generative AI architectures
Design and implement Agent Assist solutions (Generative Knowledge Assist, Proactive GKA, AI Coach, Live Translation) and leverage CCAI Insights for analytics and optimization
Integrate AI agents with CCaaS/telephony platforms (Genesys, Cisco, Avaya) and CRM systems (Salesforce, Zendesk) via APIs and middleware
Build and optimize prompt engineering and orchestration layers for accuracy, safety, and brand alignment
Design and maintain RAG (Retrieval-Augmented Generation) pipelines using enterprise knowledge sources
Manage CI/CD pipelines and DevOps automation using Terraform and infrastructure-as-code principles
Establish Agent Ops practices, including monitoring performance (latency, accuracy, safety, customer satisfaction) and continuous improvement
Collaborate with CX leads and product teams to translate business needs into scalable AI solutions
🎯 Minimum Qualifications
Bachelor’s degree in Computer Science, Engineering, or equivalent experience
7+ years of experience in technical client services
Experience designing and implementing cloud-based architectures
Strong expertise in Large Language Models (especially Gemini) and conversational AI platforms (CXAS, Dialogflow)
Advanced programming skills in Python (AI orchestration experience preferred)
Experience building and consuming REST APIs
Knowledge of cloud infrastructure (preferably Google Cloud Platform)
Experience with vector databases (e.g., Pinecone, Vertex AI Search) and SQL/NoSQL systems
Understanding of enterprise security, PII handling, and AI safety principles
⭐ Nice to Have
Google Cloud certifications (Architect, Machine Learning, Networking, etc.)
Experience with CCaaS platforms (Genesys, Cisco, Avaya) and telephony protocols (SIP, WebRTC)
Hands-on experience with Vertex AI, Dialogflow CX, Agent Assist, and CCAI Insights
Strong DevOps / AgentOps background with CI/CD automation
Experience delivering AI solutions from prototype to production at enterprise scale
Knowledge of identity management, encryption, and enterprise security practices
Strong communication and stakeholder management skills
Programming experience in Java, Go, or C++ in addition to Python
🌍 What We Offer
Fully remote work (Poland-based)
High-impact enterprise AI projects
Cutting-edge work with Generative AI and Google Cloud technologies
Long-term engagement opportunity
Competitive rate
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Hybrid
Krakow, Poland
🏢 Summary: Senior Java Engineer role in an Agile team building a high-performance AI platform powered by cloud-native services, LLMs, and AI Agents. The position focuses on developing scalable microservices and REST-based integrations to enable rapid creation of intelligent applications. Hybrid work model with 3 days per week onsite in Wroclaw or Krakow. 🗂️ Requirements: 4+ years of professional Java development, Experience with Java 17+, Strong knowledge of Spring, Proficiency with Maven, Experience building microservice architectures, Experience with REST web services, Experience with messaging systems, Knowledge of design patterns, Refactoring skills, Experience with CI/CD pipelines, Experience with source control systems, Understanding of Agile methodologies (Scrum, Kanban) 📃 Skills: Java, Java17, Java21, Spring, Maven, Microservices, REST, Messaging, CICD, Git, GitLab, Agile, Scrum, Kanban, Azure, Cloud, LLMs, AI, Agents 🏢 Description: Join us as a Senior Java Engineer on a dynamic Agile team developing a high-performance AI platform that streamlines application creation. The platform leverages modern cloud services, Large Language Models (LLMs), and AI Agents to enable rapid development of intelligent solutions, such as chatbots and other advanced applications. The team is focused on innovation, scalability, and delivering impactful technology to business stakeholders. Our client is a global leader in financial technology, providing advanced solutions that empower business users and developers to create scalable, modern applications for a variety of operational and financial use cases. Ready to launch your career in cloud engineering? Apply now and join our global team! This role offers a hybrid model, with 3 days per week working from the client's office in Wroclaw or Krakow, Poland. Responsibilities Collaborate with technologists, programmers, AI engineers, and business stakeholders in an Agile environment Build and enhance a modern AI platform using Java, cloud-native services, LLMs, and AI Agents Develop and maintain microservice architectures for scalability and performance Implement web services (REST) and messaging systems for seamless integration Apply clean coding practices, design patterns, and refactoring techniques Participate in code reviews, testing, and continuous integration Contribute to project and issue tracking, supporting Agile development practices (Scrum, Kanban) Requirements 4+ years of professional experience in Java development (Java 17+, preferably Java 21) Strong proficiency with Spring and Maven Excellent problem-solving skills and attention to code quality Experience with design patterns and refactoring Proven track record in building microservice architectures Familiarity with web services (REST) and messaging systems Understanding of Agile methodologies (Scrum, Kanban) Experience with source control, build tools, and CI/CD (e.g., GitLab) Familiarity with project and issue tracking tools Fluent in English Nice to have Experience with cloud services, preferably Azure Knowledge of AI Agents and Large Language Models Previous exposure to financial technology domains Experience working in distributed, international teams We offer/Benefits We gather like-minded people: Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English classes We cover it all: Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events Please, note: The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview. We will reach out to selected candidates exclusively. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
Technology
emagine Polska
Senior Platform Engineer - AI (Java or GO)
Senior
Hybrid
Stockholm, Sweden
🏢 Summary: Senior Platform Engineer consultant role focused on building AI-native platform capabilities, governance, and developer productivity tooling in a cloud-native environment. The position involves developing secure AI agent workflows, improving CI/CD automation, and enabling self-service engineering solutions for internal teams. This hybrid Stockholm-based assignment runs until the end of the year in a fast-moving and exploratory environment. 🗂️ Requirements: 5+ years of software, platform, DevEx, or infrastructure engineering experience, Strong proficiency in Java, Strong proficiency in Spring Boot or Go, Hands-on experience with AWS, Hands-on experience with EKS/Kubernetes, Experience with service deployment and observability, Experience designing and automating CI/CD pipelines, Experience with GitHub Actions, Ability to build self-service developer solutions, Strong communication and presentation skills 📃 Skills: Java, Spring, Go, AWS, EKS, Kubernetes, CI/CD, GitHub, Actions, LLMs, MCP, DevEx 🏢 Description: Role: Senior Platform Engineer - AI, Consultant Start Date: ASAP/August Number of Consultants: 3 Assignment Duration: Until end of the year Location: Hybrid setup from Stockholm Project & Environment Overview We are building the foundations for an AI-native software development lifecycle , where engineering teams can safely delegate meaningful work to AI agents within clear governance, compliance, and auditability boundaries. The team owns key parts of the internal developer experience, including AI platform capabilities, developer productivity tooling, platform compliance, and self-service workflows for engineering teams. This is a fast-moving and exploratory environment. Priorities and technical direction may evolve as we learn, validate, and ship. We are looking for a senior engineer who is highly self-driven, comfortable with ambiguity, and able to turn unclear problems into practical platform capabilities. Profile & Requirements Required Senior platform engineering experience: 5+ years of software, platform, DevEx, or infrastructure engineering experience. Strong backend engineering skills: High proficiency in Java/Spring Boot or Go . Cloud-native platform experience: Hands-on experience with AWS, EKS/Kubernetes , service deployment, observability, and production-grade infrastructure. CI/CD expertise: Strong experience designing and automating pipelines, preferably with GitHub Actions . Developer experience mindset: Ability to identify engineering friction and build practical self-service solutions that improve speed, quality, and reliability. Strong communication skills: Comfortable presenting technical solutions, running demos, and driving adoption across engineering teams. Highly Valuable Hands-on experience with LLMs , AI-assisted development, or agentic engineering workflows. Experience building or integrating multi-agent orchestration systems . Experience with Model Context Protocol (MCP) servers, tools, or similar integration patterns. Experience working in regulated environments with auditability, compliance, security, and cost-control requirements. Responsibilities & Deliverables You will build and deliver functional platform capabilities directly used by internal engineering teams. AI Agent Platform: Build secure, production-grade platform capabilities that allow teams to delegate engineering tasks to AI agents in a controlled and observable way. Agent Governance & Auditability: Implement traceability, approval flows, audit logs, cost attribution, token/API spend tracking, and operational guardrails. AI-Native CI/CD Automation: Improve GitHub Actions pipelines and integrate compliance and quality checks suitable for both human-written and agent-generated code. Developer Experience Improvements: Work closely with product engineering teams to identify daily blockers and turn them into self-service tools, templates, workflows, or platform features. Internal Adoption: Lead demos, workshops, and technical walkthroughs to help engineers understand and adopt new AI platform capabilities.