Role Description We are looking for an experienced Senior Cloud Architect with a strong engineering background and deep experience in multi-cloud infrastructure (AWS, Azure, GCP), including Kubernetes-based platforms. You will partner closely with customers, SRE teams, and internal stakeholders to design reliable cloud architectures that accelerate delivery pipelines and simplify operations. - Champion automation, build reusable IaC templates and utility tools, design secure cloud networks, and drive customer success. - Combine hands-on engineering depth with architectural leadership to operate platforms at scale. - Help the team adopt emerging AI capabilities as a growth area. Qualifications - Extensive experience designing and operating enterprise-scale cloud platforms. - Deep AWS expertise with working knowledge of Azure and/or GCP. - Strong understanding of multi-region, highly available, and disaster recovery architectures. - Experience with cloud migrations, modernization programs, and AWS Well-Architected Framework reviews. - Knowledge of AWS Organizations, Control Tower, multi-account strategies, and landing zones. - Strong knowledge of cloud networking, TCP/IP, routing, DNS, VPNs, and hybrid connectivity. - Expertise with AWS networking services including VPC, Transit Gateway, Direct Connect, Route 53, CloudFront, PrivateLink, and Load Balancers. - Experience designing hybrid and multi-cloud network architectures. - Understanding of network security, zero-trust principles, and microsegmentation. - Hands-on Kubernetes experience in production environments. - Expertise with EKS and at least one additional platform (AKS, GKE, or OpenShift). - Experience with cluster lifecycle management, multitenancy, service mesh, networking, and workload identity. - Strong GitOps experience (ArgoCD/Flux), Helm, and Kustomize. - Advanced Terraform skills and experience building reusable IaC modules. - Strong CI/CD, GitOps, and automation experience. - Ability to create operational tooling, self-service platforms, and policy-as-code solutions. - Strong software engineering background with proficiency in Python or similar languages. - Experience with DevOps and SRE practices including observability, SLIs/SLOs, incident management, and toil reduction. - Ability to participate in critical incident response and drive operational improvements. - Strong understanding of AWS security services, IAM, encryption, and compliance frameworks (GDPR, ISO 27001, CIS). - Experience with FinOps, cloud cost optimization, TCO analysis, and budgeting. - Interest in applying AI and Generative AI to cloud operations and automation. - Familiarity with services such as Amazon Bedrock, SageMaker, or similar platforms is a plus. - Strong customer-facing communication and stakeholder management skills. - Ability to translate business requirements into scalable technical solutions. - Fluent English required; German is a plus. Requirements - You are an experienced Cloud Architect with a strong engineering mindset and deep expertise in AWS, networking, Kubernetes, and automation. - You enjoy solving complex platform challenges, working directly with customers, building reusable solutions, and driving operational excellence. - You combine technical depth with strong communication skills and are passionate about cloud-native technologies, automation, and continuous improvement. Benefits - Remote working possibility is only available within Hungary due to European taxation regulation. 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 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.

Title:Cloud Engineer Location: Los Angeles United States Work Location: Los Angeles, CA, USA Flexible Hybrid Job Description: Primary Duties and Responsibilities Press space or enter keys to toggle section visibility The Cloud Engineer will design, build, and operate infrastructure and applications supporting UCLA Health’s Analytics Platform across both on-premises and multi-cloud environments (AWS, Azure, GCP). This role focuses on enabling secure, scalable AI/ML and GenAI platforms, with an emphasis on automation, reliability, and compliance in a regulated healthcare setting. Key Responsibilities - Design, implement, and manage cloud and hybrid infrastructure supporting analytics and AI/ML workloads - Build and operate MLOps capabilities, including: - Model training and inference platforms - Model and artifact management - CI/CD and deployment pipelines - Observability and monitoring solutions - Cost optimization controls - Develop and maintain automation and infrastructure-as-code (IaC) solutions for provisioning and configuration - Troubleshoot and resolve complex system and environment issues across cloud and on-prem platforms - Establish platform guardrails to ensure secure, reliable, and compliant operations - Collaborate with cross-functional teams to: - Gather requirements - Design and prototype solutions - Implement and test deployments - Support ongoing operations and enhancements - Apply security, privacy, and governance controls aligned with healthcare data regulations - Execute release, deployment, and configuration management processes What You’ll Bring - Strong background in cloud engineering and platform operations - Experience with multi-cloud environments (AWS, Azure, GCP) - Proficiency in: - Automation, scripting, and infrastructure-as-code - CI/CD pipeline development and optimization - Monitoring and observability tools - Experience supporting AI/ML or data platform workloads (preferred) - Ability to troubleshoot complex systems and drive solutions independently - Strong collaboration skills and the ability to translate business requirements into technical solutions Salary Range: $128500 - $298100 annually. Job Qualifications Press space or enter keys to toggle section visibility •  BS/MS in Computer Science (or equivalent) •  AWS Certified Cloud Engineer, Architect, Administrator Certifications required •  7+ years of advanced knowledge and experience as an AWS Cloud Engineer in all core services and offerings. AWS experience a plus •  15+ years of advanced knowledge and experience of Microsoft Technologies such as, Windows server and Linux based servers, enterprise system support experience and strong background in systems engineering and administration for both operating systems •  15+ years of advanced knowledge and experience with enterprise scale Windows technologies such as Server platforms, Desktop platforms, Exchange Environments, Active Directory, IIS, Windows Clustering, Virtualization and Collaboration tools. AWS Certification or equivalent experience preferred •  Working knowledge of DevOps-like work or experience in a real time operational role •  Advanced knowledge of analytics and AI/ML platform services across AWS, Azure, and GCP (e.g., AWS SageMaker/Bedrock, Azure Machine Learning/Azure OpenAI, Google Vertex AI) and how to operate them securely at enterprise scale. •  Experience enabling teams to build and deploy ML/AI solutions by providing reusable platform capabilities (reference architectures, templates, SDK/CLI standards, self-service onboarding, and guardrails) rather than only project-specific implementations. •  Hands-on experience operationalizing ML/AI workloads on cloud platforms (AWS/Azure/GCP): managed training/inference, batch vs real-time serving, feature/metadata management, model registry, and cost/performance optimization. •  Strong MLOps/platform engineering experience: CI/CD for ML and GenAI, automated validation gates, reproducible pipelines, environment promotion, artifact/version management, and production monitoring (drift, data quality, latency, cost) using cloud-native and/or enterprise tooling (e.g., Azure DevOps/GitHub Actions, SageMaker Pipelines, Vertex AI Pipelines, MLflow, Terraform). •  GenAI platform experience (AWS/Azure/GCP): deploying and governing LLM applications using managed services (e.g., Bedrock/Azure OpenAI/Vertex AI), RAG architectures, embeddings and vector databases/search, prompt/version management, and evaluation/guardrails for safety and groundedness. •  Responsible AI + governance experience for regulated environments: PHI/PII protections, access controls, encryption and key management, audit logging, model/endpoint risk assessments, bias/fairness considerations, and policy enforcement aligned to HIPAA and secure SDLC. •  Strong data engineering foundations that support AI platforms: standardized data ingestion/ETL/ELT, data quality/lineage, dataset and feature pipeline design, schema/version management, and integration with lake/lakehouse platforms (e.g., S3/ADLS/GCS with Spark/Databricks/BigQuery/Synapse) for feature and training data readiness. •  Experience operating scalable training/inference platforms (GPU/accelerated workloads): capacity planning/quotas, cluster or managed compute configuration, distributed training concepts, performance tuning, and chargeback/showback in cloud environments. As a condition of employment, the final candidate who accepts an offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; or have filed an appeal of a finding of substantiated misconduct with a previous employer.

Title: Principal Genesys Cloud PS Consultant (No Visa Sponsorship) Location: Philadelphia, PA, USA Employees can work remotely Full-time Company Description Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989. Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%. Job Description We are looking for a Principal Genesys Cloud Professional Services Consultant to join our team and drive the delivery of innovative, enterprise-grade contact center solutions. In this role, you will lead the design and implementation of advanced multi-channel customer experience platforms, leveraging deep expertise in Genesys Cloud and modern contact center technologies. The ideal candidate combines strong technical leadership, hands-on delivery experience, and the ability to translate complex business requirements into scalable, high-quality solutions. Work Authorization: Candidates must have valid authorization to work in the United States at the time of application. Visa sponsorship is not available for this role. Responsibilities: - Serve as the primary technical point of contact for customers and internal stakeholders, providing expert consultancy on Genesys Cloud solutions. - Lead the design and delivery of end-to-end technical solutions, including facilitating workshops, gathering requirements, and producing technical design documentation with stakeholder sign-off. - Analyze complex business and technical challenges to define scalable and effective solution architectures. - Own and evolve the technical architecture of Genesys solutions, introducing new technologies and best practices where appropriate. - Configure and optimize Genesys Cloud environments to align with changing business and operational needs. - Lead the planning and execution of contact center deployments, migrations, and system upgrades. - Act as the main escalation and coordination point for Genesys-related matters, collaborating with internal teams and external vendors. - Support production readiness activities and ensure smooth transition of contact center solutions into live environments. Qualifications - 5+ years of hands-on experience supporting and optimizing large, multi-site, complex contact center environments. - Experience in designing, implementing, and supporting Genesys Cloud solutions in enterprise settings. - Proven expertise in building routing strategies and IVR workflows using Genesys Architect - Experience with CRM integration (e.g., Salesforce, MS Dynamics) with the Genesys Cloud environment - Strong background in infrastructure planning, solution design, deployment, and lifecycle management to ensure high availability and performance. - Solid understanding of business processes and their alignment with customer experience technologies. - Deep knowledge of SIP infrastructure, including SIP protocol, Session Border Controllers (SBC), and load balancing approaches. Nice to Have - Knowledge of Genesys Cloud Workforce Management (WFM): provide expert guidance and best practices to optimize workforce management processes within the Genesys Cloud environment. - Genesys Cloud Training: conduct training sessions for various roles, including supervisors, administrators, users, and architects, to enhance their understanding and effective use of Genesys Cloud features - Experience with CX Cloud from Genesys and Salesforce Additional Information We offer: - Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program. - Work From Anywhere Culture: make the most of the flexibility that comes with remote work. - Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. - Global Impact: collaborate on impactful projects for top global clients and shape the future of industries. - Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. - Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality. * Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.

Role Description We are currently seeking a Remote Storage & Cloud engineer to join our team in Guadalajara, Jalisco (MX-JAL), Mexico (MX). We are looking for a highly skilled and proactive Senior Storage & Cloud Engineer with deep expertise in Unix systems, distributed storage technologies, and cloud platforms. The role involves designing, managing, and decommissioning storage solutions across hybrid/cloud environments, while working closely with application development teams and leadership stakeholders. The ideal candidate will have strong technical depth, excellent communication skills, and the ability to manage work independently in a structured, process-driven environment. Key Responsibilities - Storage Architecture & Management - Design, implement, and manage enterprise storage solutions including: - NAS (Network Attached Storage) - NFS (Network File Systems) - Object storage platforms (e.g., S3-compatible solutions) - Perform storage capacity planning, performance tuning, and optimization. - Manage data lifecycle (provisioning, migration, archival, and decommissioning). - Ensure high availability, scalability, and resilience of storage platforms. - Unix/Linux Administration - Administer and troubleshoot Unix/Linux systems supporting storage environments. - Perform filesystem management, mount configurations, NFS exports, and permissions. - Optimize OS-level performance for storage-intensive workloads. - Cloud & Hybrid Infrastructure - Design and manage storage solutions across public cloud platforms (AWS/Azure/GCP). - Work with cloud-native storage services such as: - AWS S3 / EBS / EFS - Azure Blob / Files - GCP Cloud Storage - Lead or support migration of on-prem storage to cloud-based platforms. - Kubernetes & Container Storage - Implement and manage Kubernetes storage constructs: - Persistent Volumes (PV), Persistent Volume Claims (PVC) - Storage Classes - CSI (Container Storage Interface) drivers - Work with container-native storage solutions (e.g., Ceph, Portworx, OpenEBS). - Ensure reliable storage for stateful workloads running in Kubernetes clusters. - Decommissioning & Rationalization (Decom Plans) - Plan and execute storage and infrastructure decommissioning activities. - Collaborate with application development teams and leadership to: - Identify dependencies - Validate data migration or archival - Ensure zero data loss - Lead discussions and present decommissioning strategies clearly to stakeholders. - Monitoring, Troubleshooting & Optimization - Monitor storage utilization, performance metrics, and system health. - Troubleshoot issues related to latency, throughput, and data availability. - Use tools like Splunk, Prometheus, Grafana, or native cloud monitoring services. - Project Execution & Ownership - Independently manage assigned workstreams following defined processes. - Track deliverables, risks, and dependencies. - Ensure timely execution of storage-related initiatives and migrations. Qualifications - Expert-level knowledge of Unix/Linux systems - Strong experience with: - NAS, NFS, and distributed/object storage systems - Solid understanding of: - Cloud computing platforms (AWS/Azure/GCP) - Storage services and architecture in cloud environments - Good working knowledge of: - Kubernetes and container orchestration - Persistent storage in containerized environments - Familiarity with automation tools (Shell, Python, Ansible, Terraform) is a plus Requirements - 7+ years of experience in: - Storage systems AND Unix/Linux administration - 3+ years of experience in: - Cloud platforms and container ecosystems (Kubernetes preferred) - Storage migration, rationalization, or decommissioning projects - Experience with enterprise storage vendors (NetApp, Dell EMC, etc.) - Knowledge of backup & disaster recovery solutions - Certifications (optional but preferred): - AWS / Azure Cloud certifications - Kubernetes certifications (CKA/CKAD) - Storage-specific certifications Benefits - Negotiable salary - Grocery Tickets 12% of base salary - Saving fund - 30 days of Christmas bonus - 50% Vacation bonus - Medical insurance (You and your family) - Life insurance - Permanent home office