Cloud Solution Architect (ZR1270)
Employer · DSS Consulting Zrt.
Systems analyst
Network engineerSystem administratorFlexibleFull-timeBudapest
Since 1998, DSS Consulting has specialized in business intelligence, analytics and custom software development. We are looking for a Cloud Solution Architect to join one of our telecommunications partners.
Tasks
- 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
- Alignment with Data & AI Lead Architect
- Cloud Security, Zero Trust & Data Isolation
- FinOps & Cloud Cost Optimization
- Infrastructure as Code (IaC) & DataOps/MLOps CI/CD
- High Availability, Disaster Recovery & Resilience
- Architecture Governance & ARB Defense
- Delivery & Operational Readiness
Conditions & benefits
Training fundBecause your professional development is important to usHealth insurance packageA comprehensive health insurance package with a reputable private health care providerFitness accessUnlimited access of a total of three of Budapest's best fitness centres to help you maintain your fitness
Requirements
- 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.