• Lead the end-to-end architecture and design of Genesys Cloud CX solutions • Translate business requirements into scalable, secure, and high-performing technical designs • Define and drive the technical roadmap for contact center and CX platforms • Collaborate with enterprise architects and other technology teams to ensure seamless integration across systems • Provide hands-on technical leadership across solution design, development, testing, and deployment phases • Guide and mentor engineering teams, ensuring best practices and architectural standards are followed • Oversee integrations with third-party systems such as CRM, WFM, and analytics platforms • Ensure solutions meet security, compliance, and performance requirements • Stay current with Genesys Cloud capabilities and CX industry trends, driving continuous innovation

Company Description As Hungary’s most attractive employer in 2025 (according to Randstad’s representative survey), Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group. The company provides a wide portfolio of IT and telecommunications services with more than 5300 employees. We have hundreds of large customers, corporations in Germany and in other European countries. DT-ITS received the Best in Educational Cooperation award from HIPA in 2019, acknowledged as the the Most Ethical Multinational Company in 2019. The company continuously develops its four sites in Budapest, Debrecen, Pécs and Szeged and is looking for skilled IT professionals to join its team. Job Description Job Description The T Cloud Public Portfolio Unit operates on a national and international level, for medium-sized and large companies. We develop, market and operate agile, cloud-native, forward-looking products and services for the digital world. We see ourselves as innovation drivers and make our customers' business fit for the digital future. Our mission: Together with our customer, shaping the safest, easiest and most efficient transformation to a digitized and cloud-native future. Your Department We run T Cloud Public! T Cloud Public is a public cloud standard product based on open source community software and driven by principles of DevSecOps. Lean structures, agile methods, highly motivated teams and an extremely dynamic business environment determine our actions. With this customer-oriented and agile orientation, we are the anchor point for the Public Cloud business in Deutsche Telekom Group. We are measured by delivering a secure, stable and innovative platform. We work jointly with our platform partner and other partners out of the OpenStack ecosystem to create a highly innovative public cloud product based on European security and data protection standards. We are looking for people who are professionals and evangelists with a great deal of enthusiasm for cloud technology and who are up to the challenges created by the development and operation of a hyper-scale public cloud. We offer a unique insight into how a large public cloud works under the hood, intercultural teamwork, flat hierarchies, and an independent working-style. Your Tasks As "Tester Quality Assurance Public Cloud" you understand the latest developments in cloud and container technology. Customer-oriented, you will further develop the stability, reliability and quality of our Open Telekom Cloud platform. Do you like? - Develop, execute and monitor automated tests. - Detect errors in interfaces and functionality. - Consistently automate using common automation frameworks. - Review and correct product documentations. - Solve complex problems in the day-to-day operation of a hyper-scaler's cloud backend. - Work in a team of specialists where everyone helps each other in an open and trusting manner. Qualifications Your Profile - Completed studies in a technical, engineering or scientific subject or comparable professional training. - 5-7 years of professional experience in IT with a focus on modern cloud technologies. - Experience with test methods, test automation frameworks (Robot Framework, Pytest) and test libraries (Selenium). - Practical knowledge of Linux and Terraform. - Python programming knowledge. - High level of customer focus. - Knowledge of agile development processes. - Ability to assess technical solutions and find creative approaches to solutions. - OpenStack, AI usage in testing or programming experience in open source projects is a plus. - Fluency in written and spoken English. - You will be working in the European Union to meet our customers' data security and privacy requirements. Additional Information * Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation. - Company: Deutsche Telekom TSI Hungary Kft.

About this opportunity: As the Company at the forefront of the creation of the Mobile world, and with more than 60,000 patents to our name, we've made it our business to make a mark. Being part of Ericsson empowers you to learn, lead and perform at your best, shaping future technology. Ericsson is an inclusive employer where you are recognized for the skills, talent, and perspective you bring to the team. Within the Solution Area Cognitive Networks Solutions Software R&D (SA CNS SW R&D), we offer the opportunity to collaborate with highly qualified Global teams and to enable success stories for our customers. You will be exposed to groundbreaking technology (5G, ML/AI, Automation and Cloud computing) and support the delivery of multiple Data-Intensive projects from our customer base and internal requirements. You must have the ability to perform hands-on Cloud and Data engineering tasks independently coupled with the appropriate testing. Are you ready to write the future with us? Come, and be where it begins. We are seeking a seasoned Cloud Security Lead to explore, design, and test the proper architecture on AWS to enable large-scale, high-performing, distributed cloud-native-based SaaS applications. As a Cloud Security Lead in CNS R&D Product Development Unit (PDU), your knowledge of software architecture will be key to supporting our different applications and customer scenarios, ensuring a smooth transition from development to production and maintenance. This position demands in-depth expertise in AWS technologies, you will establish best practices, optimize service reliability, and continuously improve security and performance across a multi-tenant SaaS environment. You will collaborate with cross-functional teams, including product owners, domain experts, and technical leads, to provide our products with reliability and scalability. What you will do: SaaS Multi-tenant Architecture and Innovation - - Lead the system architecture, design, and implementation for our Cognitive Software products. - Analyze and design secure systems, aligning with Ericsson Security Design Rules. - Evaluate impacts, dependencies, and risks for both functional and non-functional requirements. - Stay ahead of IT technology evolution and drive adaptation within the team. DevSecOps & Compliance - - Embed Security best practices within the software development lifecycle, covering identity and access management (IAM), networking, VPC, encryption, and monitoring. - Ensure adherence to cloud compliance standards (SOC 2, HIPAA, GDPR, etc.), performing regular audits and vulnerability scans to maintain a robust security posture. Collaboration and Leadership - - Work closely with other system architects to enforce common practices and streamline our product suite. - Mentor technical leaders, promoting a collaborative, results-driven environment and advancing professional growth. - Demonstrate thought leadership within and outside the product unit. Ensure Excellence - - Be accountable for delivering the right architecture and implementation that adhere to Ericsson standards. - Align product architecture with security best practices and industry standards. Business alignment - - Work with product owners, development teams, and stakeholders to align Architecture and Security priorities with broader business objectives. - Understand business processes and able to align security strategies with organizational goals. - Ability to balance security needs with business requirements and constraints. Adaptability and Continuous Learning - - Stay updated with the latest security threats, trends, and technologies. - Adapt to evolving security challenges and technologies. Cultural Fit - - Align with the organization's values and culture. - Work within the organization's structure and contribute positively to its environment. AI & Machine Learning Operations (MLOps) - - Provide operational support for AI/ML models running on AWS, collaborating with data science teams to ensure security and optimize performance and reliability. - Embed Security within MLOps methodologies, ensuring secure, seamless model deployment, monitoring, and updates. - Conduct Security testing, capacity planning, and performance tuning across AWS resources. - Foster a culture of continuous improvement, refining operational processes and enhancing platform architecture to boost resilience. The skills you bring: - 8+ years of professional experience in software development, including hands-on design, implementation, and deployment of complex systems. - 6+ years of dedicated experience in cybersecurity, with a strong emphasis on securing AWS cloud services and infrastructure (e.g., IAM, VPC, Security Groups, Encryption, CloudTrail, GuardDuty, and compliance frameworks like NIST or CIS benchmarks). - Hands-on experience integrating security best practices into CI/CD pipelines, leveraging GitOps tools (Argo CD, Flux) for declarative deployments. - Knowledge of machine learning lifecycle management, ensuring secure, robust and efficient AI/ML model deployments. - Strong background in Linux system management, performance tuning, and troubleshooting. - Expertise in VPNs, firewalls, routing, switching, DNS, load balancers, and related security considerations. - Demonstrated strength in diagnosing complex technical issues and effectively communicating solutions to varied stakeholders. - Bachelor's degree in Computer Science, Computer Engineering, or a related field. Cloud-Native Architecture - Expertise in cloud-native software architecture principles and patterns. - Proficiency with Docker, Kubernetes, microservices, and event-driven architecture. - Experience leading design phases of cloud-native applications (HLD, LLD, DD, UAT). - Deep understanding of virtualization, networking, and storage in public cloud environments. - Demonstrated ability to manage, operate, and secure AWS services (e.g., IAM, S3, EKS, ECS, Fargate, App Runner, RedShift, SNS, SQS, EventBridge, Athena, SageMaker, Aurora, DynamoDB, Cognito, API Gateway, etc.). - Proven experience with Kubernetes (preferably EKS) for container orchestration, including deploying and maintaining production workloads. Security Expertise - Deep understanding of security principles, practices, and technologies. - Proficiency in network, cloud, application security, and data protection. - Familiarity with security frameworks and standards (NIST, ISO 27001, CIS, etc.). - Experience with security tools (firewalls, intrusion detection/prevention systems, encryption, vulnerability scanners). - Proven track record in designing and implementing security architectures. - Experience with risk assessment, threat modeling, vulnerability management, and regulatory compliance (GDPR, HIPAA, PCI-DSS). - Preferred certifications: CISSP, CISM, CEH. - Expertise in OWASP resources, including the Top 10 risks, Application Security Verification Standard (ASVS), Software Assurance Maturity Model (SAMM), Cheat Sheets, and their integration into Secure SDLC processes for identifying, assessing, mitigating vulnerabilities, and enhancing organizational secure development practices. Software Development and Infrastructure Definition - Experience with API design, application security, and secrets management. - Familiarity with CI/CD/CT pipelines and practices. - Experience with Infrastructure-as-a-Code frameworks, preferably Terraform, ensuring production-grade, secure infrastructure definitions. Data Management and Governance - Experience in designing scalable and efficient modern data architecture. - Experience handling real-time and batch data at scale using distributed frameworks (Dask, Spark, etc.). - Knowledge of data governance, data security, and privacy regulations. Why join Ericsson? At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: Egypt (EG) || Cairo Req ID: 778938

Role Description Essa é uma oportunidade para quem quer ir além do operacional e realmente influenciar a forma como a empresa gerencia, otimiza e escala seus custos em cloud. Você será peça-chave para elevar a senioridade técnica do time e acelerar a evolução de Cloud FinOps como uma disciplina estruturada na empresa. Buscamos alguém que já tenha atuado diretamente com FinOps no dia a dia — tomando decisões, gerando eficiência e criando impacto real no negócio. - Evoluir a disciplina de Cloud FinOps na RD, trazendo profundidade técnica e uma visão sistêmica do negócio; - Construir e aprimorar soluções para medição, alocação e visibilidade de custos em cloud; - Garantir maior rastreabilidade de custos por labels, serviços, produtos, times e contextos de negócio; - Desenvolver automações e ferramentas que reduzam o esforço operacional e fortaleçam a gestão contínua de custos; - Apoiar decisões de arquitetura com foco em eficiência financeira; - Identificar desperdícios, desvios e oportunidades de otimização de custos em cloud; - Contribuir com a governança e evolução de práticas em Kubernetes e cloud, com foco em eficiência econômica; - Tornar a gestão de custos mais acessível, acionável e confiável para stakeholders técnicos e executivos. Qualifications - Experiência consistente com Cloud FinOps, atuando na prática com governança, alocação, análise e otimização de custos; - Conhecimento avançado em Google Cloud Platform (GCP); - Sólida base em arquitetura de cloud, com capacidade de conectar decisões técnicas ao impacto financeiro; - Experiência na construção de automações, produtos internos, ferramentas ou pipelines voltados à gestão de custos e visibilidade financeira; - Domínio de estratégias de cost allocation (labels/tags, centros de custo, ownership) e modelos como showback e chargeback; - Boa capacidade de desenvolvimento de software para criação de soluções que facilitem a operação de FinOps; - Conhecimento relevante em Kubernetes, considerando ambientes com workloads conteinerizados. Requirements - Experiência complementar com AWS e/ou Azure; - Vivência em ambientes multi-cloud; - Conhecimento em billing exports, data pipelines e analytics aplicados à gestão de custos; - Experiência na construção de dashboards e reports executivos, com foco em visibilidade e tomada de decisão; - Vivência com práticas de governança em cloud, incluindo rightsizing, commitments, savings plans/reservations e otimização contínua; - Experiência prévia em empresas SaaS ou em ambientes de engenharia de alta escala. Process Selection Steps - Aplicação - Envio da inscrição; - Mindsight - Teste de estilo de trabalho; - Talent Acquisition - Entrevista por competência com o time de recrutamento; - Entrevista Técnica - Entrevista técnica para discussão de requisitos da vaga; - Entrevista Final - Conversa final com a gerência para alinhamento; - Offer - Fase de conclusão do processo seletivo, com a apresentação da proposta de trabalho. Obs: Podem ter etapas complementares e/ou alterações, de acordo com a necessidade do processo.