Role Description Zensar Technologies is looking for a Cloud Support Engineer to join our Citrix managed services team. The L1 engineer is the first line of defence for Citrix DaaS (Cloud) and CVAD environments, performing eyes-on-glass monitoring, runbook-driven incident response, and proactive health checks around the clock. Qualifications - 5+ years in Cloud Operations (SRE); good to have 2+ years hands-on with Citrix environments - Strong Azure fundamentals - VDA hosting on Azure, Azure Monitor alerts, basic VM/networking operations - Good scripting in PowerShell or Bash for log parsing, alert triage, and simple automation - Strong runbook discipline - ability to execute SOPs accurately without deviation - Good understanding of latency and quality metrics - Good understanding of ITSM tools Knowledge and PagerDuty alerting - App configuration and common auth-failure troubleshooting - Good verbal and written English communication for shift handover and stakeholder updates Requirements - Good to have: Citrix DaaS (Cloud) or CVAD (on-prem/hybrid) administration - VDA lifecycle, session management - Good to have: Citrix Director and Monitor dashboards - proactive fault identification and triage - Good to have: Understanding of HDX/ICA protocol - Exposure to any ITSM-adjacent tooling: PagerDuty, Ansible playbooks, or CI/CD pipelines - Experience in a NOC or managed services delivery environment Key Responsibilities - Perform 24x7 eyes-on-glass monitoring of Citrix Director, Monitor, and Azure-based alerts - Monitor Cloud Connector availability; restart Connector services and validate tunnel health - Triage HDX/ICA latency, packet loss, and frame-rate alerts; escalate with diagnostic data - Execute runbook-based resolutions for session launch failures, logon storms, and black screens - Classify and manage incidents per P1-P4 SLA targets using Wolken ITSM and PagerDuty - Perform StoreFront authentication failure triage and store enumeration checks - Escalate unresolved or P0/MIM-level incidents to L2/L3 (CSG/Citrix) with a complete handover note - Monitor MCS provisioning status and machine power states in Citrix Cloud - Verify Delivery Group availability and report capacity anomalies to the on-call L2 team - Execute SOPs for VDA reboots, certificate renewals, and patch verification tasks - Produce daily health reports and contribute to weekly SLA dashboards - Ensure complete shift handover documentation with open incidents, actions taken, and pending items

• The DevSecOps Engineer will play a pivotal role in integrating robust security practices throughout the DevOps lifecycle, with a primary emphasis on identity and access management (IAM) using Microsoft Entra ID (formerly Azure AD). • This role is responsible for designing and implementing secure automation pipelines, enforcing least‑privilege and Zero Trust access controls, and managing enterprise identity governance to meet both organizational and regulatory compliance requirements. • In addition to strong Entra ID expertise, the ideal candidate will bring hands‑on experience with GCP pipeline deployment, infrastructure-as-code (IaC), and custom agent development to enhance cloud security observability, policy enforcement, and workload protection across cloud environments.

• Design, implement, and maintain CI/CD pipelines using tools such as Tekton and GitHub Actions • Manage and optimize containerized environments using Docker and Kubernetes (with a focus on OpenShift) • Implement and maintain Infrastructure as Code (IaC) for scalable and repeatable environments • Oversee secret management solutions (e.g., HashiCorp Vault) to ensure secure handling of sensitive data • Manage certificate lifecycle, including issuance, renewal, and revocation • Support and improve system networking and infrastructure reliability • Implement monitoring, logging, and distributed tracing to ensure system observability and performance • Collaborate with Development and Architecture teams to enable efficient and secure application delivery • Embed security best practices into the SDLC (Secure SDLC and Security by Design principles) • Develop and enforce compliance controls, policies, and automation mechanisms

Role Description NVIDIA and Deutsche Telekom are jointly developing an industrial AI cloud for Europe. This AI factory in Germany will host 10,000 GPUs across NVIDIA DGX B200 systems and RTX Pro Servers. Deutsche Telekom provides secure, sovereign, and fast infrastructure, including data centers, operations, security, and AI solutions. As a DevOps Engineer Professional (Principal) / AI Consultant Customer Facing Engineer, you will guide enterprise customers through onboarding, training, and early adoption of the AI platform. Your responsibilities include: - Understanding customer requirements and supporting solution design. - Executing Proofs of Concept (PoCs) and ensuring smooth integration of customer workloads (LLMs, GPU compute, AI pipelines). - Acting as a trusted technical advisor, helping customers efficiently use their GPU clusters and AI toolchains. We are looking for a DevOps Engineer Professional / Senior Customer Facing position who will play a key role in helping our enterprise customers successfully adopt and scale our AI platform. In this position, you will: - Guide clients through onboarding, training, and early-stage implementation of cutting-edge AI solutions. - Work closely with them to understand their technical and business needs. - Support the design of tailored architectures and lead Proofs of Concept that validate real-world value. - Ensure smooth integration of complex workloads — from LLM deployment and GPU compute optimization to building end-to-end AI/ML pipelines. - Empower customers to use their GPU clusters and AI toolchains efficiently, troubleshoot challenges, and adopt best practices that accelerate their AI journey. WHAT WILL YOU DO? - Consult customers on all technical aspects related to GPU infrastructure, AI/ML model training, and platform usage. - Lead onboarding and training, mentoring customer specialists on optimal usage of their GPU clusters and AI environments. - Design and implement PoCs, including environment setup, data processing pipelines, and deployment workflows. - Conduct requirement engineering, translating business needs into technical specifications. - Assist customers with performance optimization, troubleshooting, fine-tuning, and validation of delivered solutions. - Act as the key technical point of contact, coordinating cross-functional teams across infrastructure, networking, automation, security, and AI services. - Propose and develop automation concepts to improve services, processes, and operating models. - Ensure best practices in reliability, scalability, responsible AI, and security are applied across the customer lifecycle. - Support monitoring, observability, and capacity planning for AI workloads and GPU utilization. Qualifications - Master's degree in Information technologies. - 5+ years of experience in the design and delivery of systems based on IaaS, PaaS, and SaaS. - 3+ years of experience in building CI/CD pipelines and serverless architectures. - AI Factory Cloud platform SW stack knowledge including its dependencies on below layers. - NVIDIA GPU-Accelerated server platform knowledge. - Data Engineering, Data Transformation, Data Migration tools knowledge. - Solid knowledge of Kubernetes (or similar) container-based technologies. - Expert knowledge with VMware environments (VMware Tanzu Kubernetes). - Expert knowledge with scripting languages (Go/Python/Bash). - Expert knowledge with Automation tools and automation deployments (Ansible/Salt-stack/Terraform/Helm). - Expert knowledge with CI/CD in a Kubernetes environment and repository management. - Expert in automation with Git (GitHub, GitLab) and CI/CD tools like GitHub Actions or GitLab CI/CD. - Experience with Linux OS. - Experience with Software Defined Networking (SDN). - Experience with monitoring and visualization tools (Grafana, Prometheus, …). - Good communication skills, analytical thinking, team cooperation, presentation skills, negotiation skills. - Speak English - Advanced (C1), German is an advantage. - Project Management - Basic. - Leadership skills - Basic. - Quality management - Intermediate. - Financial literacy - Intermediate. Benefits - Financial benefits. - Benefits with focus on learning and development. - Benefits with focus on health and sport. - Benefits with focus on family and work-life balance. - Other benefits. For more information about our benefits click to Benefits. Final salary is negotiable. We are offering base salary depending on seniority level and previous experience of the candidate. In addition to base salary, we provide a variable part and other financial benefits. Base salary will not be lower than 3,800 € /brutto. Please be informed that our remote working possibility is only available within Slovakia due to European taxation regulation. Location: Kosice Company: Deutsche Telekom System Solutions Slovakia Language: German and English Job category: Technical positions