The posting
Since 1998, DSS Consulting has specialized in business intelligence, analytics and custom software development. As pioneers in data mining and data quality assurance in Hungary, we help our clients choose and implement solutions that address their business challenges. We are looking for a Cloud Solution Architect to join one of our telecommunications partners. Main tasks and responsibilities: Cloud Architecture for Data & AI Platforms: Designs and evolves the cloud infrastructure and platform architecture supporting the enterprise Data Lakehouse (AWS S3, Redshift, Glue, Athena, EMR), real-time streaming backbones (Amazon MSK / Kafka), and analytical databases. Enterprise AI & MLOps Infrastructure: Architects secure, scalable cloud runtimes for AI and machine learning workloads, including GPU/accelerator compute clusters, model training/fine-tuning pipelines, low-latency LLM inference endpoints (Amazon SageMaker, AWS Bedrock), Vector Databases, Feature Stores, and RAG retrieval infrastructure. Alignment with Cloud & Infrastructure Lead Architect: Enforces enterprise cloud foundation baselines, AWS multi-account landing zone standards, centralized IAM, VPC networking, Transit Gateway routing, and hybrid connectivity (Direct Connect to on-prem data centers / CETIN). Implements standardized container platform patterns (AWS EKS), cluster autoscaling (Karpenter), multi-tenancy, service mesh, and container security guardrails across data and AI workloads. Alignment with Data & AI Lead Architect: Translates the Data & AI Layer Reference Architecture, Enterprise Data Model (EDM), and semantic patterns into robust, production-grade cloud infrastructure blueprints and deployment models. Cloud Security, Zero Trust & Data Isolation: Implements cloud security controls including KMS customer-managed key encryption at rest and in transit, private VPC endpoints (AWS PrivateLink), fine-grained data access controls (AWS Lake Formation, RBAC/ABAC), network segmentation, and secure data egress/ingress controls compliant with GDPR and enterprise security baselines. FinOps & Cloud Cost Optimization: Owns cloud unit economics and cost management for analytical and AI workloads. Establishes compute/storage autoscaling policies, spot/graviton/reserved instance strategies, intelligent S3 storage tiering, query cost attribution, and resource lifecycle automation. Infrastructure as Code (IaC) & DataOps/MLOps CI/CD: Establishes reusable Infrastructure-as-Code templates (Terraform, OpenTofu, Helm), GitOps deployment patterns (ArgoCD), and automated CI/CD pipelines for provisioning data platform services and AI model serving environments. High Availability, Disaster Recovery & Resilience: Designs backup, snapshotting, cross-region replication, and disaster recovery architectures meeting enterprise RPO/RTO targets for mission-critical analytical datasets and AI services. Architecture Governance & ARB Defense: Authors cloud infrastructure HLDs, formulates Architecture Decision Records (ADRs/KDDs), and defends cloud data/AI solutions at the Architecture Review Board (ARB) and Target Architecture Board (TAB). Delivery & Operational Readiness: Partners closely with data platform engineers, site reliability engineers (SRE), and delivery squads to ensure seamless deployment, automated observability (CloudWatch, OpenTelemetry), alerting, and operational handover. What we expect from you: Bachelor’s or Master’s degree in Computer Science, Cloud Computing, Software Engineering, Systems Engineering, or related technical field. 4+ years of proven experience as a Cloud Solution Architect, Cloud Infrastructure Architect, or Senior Cloud Data Engineer designing large-scale distributed systems on public cloud platforms. In-depth architectural mastery of Amazon Web Services (AWS) core infrastructure and data/AI services: S3, EKS, Redshift (Serverless & Provisioned), EMR, Glue, Athena, MSK, SageMaker, Bedrock, IAM, VPC, KMS, Transit Gateway. Relevant professional cloud certifications (e.g., AWS Certified Solutions Architect – Professional, AWS Certified Data Analytics – Specialty, or AWS Certified Machine Learning – Specialty). Deep understanding of Kubernetes and container orchestration (AWS EKS, Karpenter, container networking, Helm charts, GPU scheduling for AI/ML workloads). Strong background in Infrastructure as Code (Terraform), GitOps, DevSecOps automation, and configuration management. Solid experience with FinOps methodologies, cloud cost observability, compute right-sizing, and storage lifecycle management in petabyte-scale data environments. Strong grasp of cloud security principles, network isolation, private endpoints, encryption key management, and regulatory compliance (GDPR, ISO 27001). Ability to work effectively in cross-functional agile teams and international vendor environments. Excellent technical documentation, presentation, and stakeholder collaboration skills in English and Hungarian. It is an advantage if you have: Familiarity with telecommunications data architectures (high-throughput CDR streams, CVM, BSS/OSS integration, hybrid cloud network demarcation) is an advantage. What we offer: · You can count on us in the long run because we have been in business for about 25 years · At DSS, flexible working hours are everyday reality, not a buzzword · After COVID, we still believe in home office: you can work from home, but first, let's discuss about the way you like to work. · We provide a competitive salary and a complex benefits package: o training fund – because your professional development is important to us; o a comprehensive health insurance package with a reputable private health care provider, as we take care of your health; o unlimited access of a total of three of Budapest's best fitness centre’s to help you maintain your fitness; o monthly fringe benefit (cafeteria) o and, of course, if necessary, a laptop, a phone, and a monitor for your home office · If you occasionally visit the workplace, a newly refurbished, modern working space (complete with a game room, roof terrace) awaits you · You’ll be part of a young, dynamic, close-knit team · Our friendly management is always open to your suggestions You can send your CV to [email protected] or click on the "Apply now" button!



