• Design, implement, and continuously improve secure, scalable, and highly available AWS-based cloud infrastructure and supporting services. • Build, manage, and optimize Infrastructure as Code (IaC) solutions for AWS environments, including networking, compute, storage, and related services. • Develop, maintain, and enhance Azure DevOps pipelines to improve deployment speed, consistency, reliability, and quality across development, test, and production environments. • Automate infrastructure provisioning, configuration management, system maintenance, and operational workflows to reduce manual effort and improve operational efficiency. • Monitor infrastructure, application health, logging, alerting, and service availability using Datadog; proactively identify trends, risks, and issues to minimize outages and improve service reliability. • Partner with engineering, security, and operations teams to support application deployments, infrastructure changes, production readiness, and incident response. • Implement and maintain disaster recovery, backup, resiliency, and business continuity capabilities to support operational readiness and recovery objectives. • Strengthen cloud security by supporting identity and access management, patching, vulnerability remediation, system hardening, and adherence to established policies and standards. • Evaluate existing infrastructure and operational practices and recommend improvements in scalability, performance, reliability, security, and cost optimization. • Monitor and optimize AWS resource utilization and cloud spend while maintaining performance, availability, and scalability requirements. • Perform capacity planning and forecast infrastructure resource requirements to support current and future business needs. • Provide technical leadership, mentorship, and guidance through collaboration, documentation, knowledge sharing, and operational best practices. • Participate in troubleshooting, root cause analysis, and post-incident remediation efforts to improve overall system stability and resilience. • Work with third-party vendors and service providers as needed to support infrastructure, tooling, and service delivery objectives. • Contribute to shared team and organizational objectives through strong cross-functional partnership, communication, and execution.

• Partner with Customers to Drive Transformation • Act as a trusted advisor to customers, helping them define and execute their software delivery, platform engineering, and AI adoption strategies. • Collaborate with engineering leaders, platform teams, and executives to align technology initiatives with business outcomes. • Assess current software delivery capabilities and develop transformation roadmaps that improve developer productivity, security, governance, and operational efficiency. • Design and recommend modern DevSecOps, Platform Engineering, and AI-enabled delivery architectures that accelerate innovation at scale. • Lead discovery workshops, architecture reviews, and strategic advisory engagements with customer stakeholders. • Build proofs of concept, reference architectures, and pilot programs that validate new approaches and demonstrate measurable value. • Guide customers in adopting emerging practices such as AI-assisted development, agentic workflows, intelligent automation, and software delivery optimization. • Influence customer adoption and success plans to maximize long-term value from CloudBees solutions and services. • Serve as the voice of the customer within CloudBees, helping shape product strategy, roadmap priorities, and future platform capabilities. • Communicate effectively with audiences ranging from hands-on engineers to executive leadership teams. • Travel occasionally for customer workshops, strategic planning sessions, and company events. • Collaborate Across the Ecosystem • Partner closely with Sales, Solution Engineering, Product Management, Product Engineering, Customer Experience, and Services teams to deliver exceptional customer outcomes. • Contribute technical and industry expertise during strategic customer engagements and complex transformation initiatives. • Support customer escalations and critical initiatives by coordinating across teams to drive successful resolution and long-term improvements. • Enable CloudBees partners through mentoring, knowledge sharing, and joint delivery engagements that expand their technical and consulting capabilities. • Share field insights, emerging trends, and customer feedback to influence CloudBees products, services, and go-to-market strategies. • Continuously Learn and Lead • Develop deep expertise across CloudBees solutions, modern software delivery practices, cloud-native technologies, and AI-powered engineering workflows. • Stay at the forefront of industry trends including DevSecOps, Platform Engineering, AI-assisted software development, agentic systems, and intelligent automation. • Experiment with emerging technologies and translate innovation into practical customer value. • Contribute thought leadership through internal enablement, customer-facing presentations, workshops, blogs, and industry events. • Mentor colleagues and help cultivate a culture of continuous learning, technical excellence, and customer obsession.

Role Description You will be: - Designing, building, and maintaining cloud-native AI platforms and infrastructure. - Developing, deploying, and optimising AI agent solutions using modern agentic frameworks, MCP, and AI runtime technologies. - Enabling engineering teams through AI-assisted development, automation, and developer productivity tools. - Collaborating with software engineers, AI specialists, and platform teams to deliver scalable, secure, and production-ready AI solutions. Qualifications - 6+ years of experience as a DevOps Engineer, Platform Engineer, or Cloud Engineer on AWS, Azure, or GCP. - Hands-on experience with AI-assisted development tools such as Claude, Kiro, GitHub Copilot, or workflow automation platforms like n8n. - Practical experience designing, building, and deploying AI agents and agent-based workflows. - Experience with agentic runtimes, including xAgentic Runtime or similar frameworks. - Working knowledge of FastMCP, LangGraph, Model Context Protocol (MCP), and modern AI Agent Architectures. - Experience applying AI-assisted development practices to improve software delivery, automation, and developer productivity. - Strong understanding of Infrastructure as Code, CI/CD, containerization, and cloud-native technologies. - Excellent problem-solving skills and the ability to work independently in a fast-paced environment. - Strong communication skills. - Fluent English (at least B2 level). Requirements - Work from the European Union region and a work permit are required. Recruitment Process - CV review - HR call - Interview - Team / Client Interview - Decision

• Strengthen the security, reliability, and scalability of the systems supporting the NLPatent platform. • Advance and promote a secure-by-design engineering approach across the organization. • Support the business in maintaining compliance requirements while enabling rapid and dependable software delivery. • Collaborate closely with engineering teams to embed security thinking and best practices throughout the software development lifecycle. • Support the continued growth and improvement of a robust and resilient infrastructure.