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AWS Cloud Architect

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Summary

AWS Cloud Architect in Budapest who designs and runs multi-account AWS environments for a consultancy serving European and US clients: leads cloud migrations, builds IaC with Terraform/CDK, operates ECS Fargate and GitLab CI/CD, supports AI/GenAI workloads (Bedrock, RAG), and does pre-sales and Well-Architected reviews while mentoring engineers.

  • Shaping AWS architectures and technical decisions for web applications, SaaS platforms and enterprise environments
  • Leading cloud migrations and modernization projects including assessments, migration planning, server and database migration, re-platforming to containers and serverless, multi-environment and disaster-recovery setups
  • Designing and operating multi-account AWS environments including Organizations, Control Tower, SCPs, hub-and-spoke networking with Transit Gateway, centralized logging and governance
  • Designing and implementing Infrastructure as Code with Terraform/OpenTofu and Terragrunt, and AWS CDK for application and serverless stacks
  • Architecting and operating containerized production environments on Amazon ECS Fargate including CI/CD pipelines in GitLab CI
  • Designing and supporting infrastructure for AI/GenAI workloads including Amazon Bedrock, RAG and knowledge bases, document and content processing pipelines, Amazon Connect and Lex-based conversational solutions
  • Running operations for production systems including observability, alerting, runbooks, on-call participation, incident reviews and continuous improvement
  • Supporting sales and pre-sales including discovery calls, solution designs, AWS cost models and estimations, proposals and tender responses, architecture presentations to clients
  • Delivering AWS Partner-program work including Well-Architected Framework Reviews, competency and service-delivery self-assessments, customer case studies
  • Translating business requirements into technical solutions together with clients, product owners and developers
  • Creating and maintaining architecture diagrams, implementation plans, technical documentation and operational runbooks
  • Mentoring cloud, DevOps and development engineers; establishing reusable patterns, standards and internal tooling
  • Staying current with AWS, DevOps, cloud-native and AI infrastructure trends and bringing relevant ones into delivery practice
  • 6+ years of hands-on experience in cloud engineering, DevOps, infrastructure or platform engineering roles
  • 4+ years of practical experience designing, building and operating AWS-based infrastructure
  • Proven experience architecting and operating production-grade AWS environments including high availability, performance tuning, cost optimization, backup and disaster recovery, incident response
  • Strong knowledge of AWS core services including compute, networking, storage, IAM, databases (RDS/Aurora), monitoring, security and automation
  • Hands-on experience with AWS migrations and modernization including migration assessments, AWS MGN or DMS, re-platforming workloads to containers or serverless
  • Experience with multi-account AWS environments including Organizations, Control Tower or Landing Zones, SCPs, Transit Gateway or hub-and-spoke networking
  • Advanced Infrastructure as Code experience with Terraform or OpenTofu (Terragrunt is a plus) and familiarity with AWS CDK or CloudFormation
  • Strong experience with Docker and Amazon ECS/Fargate in production; working knowledge of Kubernetes
  • Python for automation, Lambda functions and tooling; comfortable with shell scripting on Linux
  • Solid understanding of CI/CD, deployment automation, branching strategies and environment management
  • Strong ownership, architectural thinking and communication skills; ability to lead technical discussions with both engineering teams and client stakeholders
  • Excellent written and spoken English and Hungarian
  • Hosting high-traffic PHP/Drupal web applications including CloudFront and CDN configuration, caching layers, WAF, EFS, Aurora
  • Designing observability solutions with CloudWatch, OpenSearch, Grafana/Prometheus or similar
  • Cloud security practice including IAM design, secrets management, network segmentation, encryption, secure deployment patterns, GDPR and public-sector compliance considerations
  • Strong Linux system administration and troubleshooting skills
  • Experience in an agency, consultancy or other client-facing technical environment
  • Pre-sales experience including AWS cost modelling with the Pricing Calculator, writing proposals and tender responses, presenting architectures to non-technical stakeholders
  • Active AWS certifications especially Solutions Architect Professional, DevOps Engineer Professional, Security Specialty or Advanced Networking Specialty
  • AI/GenAI cloud architectures including Amazon Bedrock, LLM integrations, RAG and knowledge bases, vector databases, agent frameworks
  • Amazon Connect and Lex including contact-center flows, SMS and voice bots, outbound campaigns
  • Experience with AWS Partner programs including Well-Architected Framework Reviews, Migration Acceleration Program (MAP), competency or service-delivery validations
  • Using AI coding agents (Claude Code or similar) in day-to-day engineering and delivery
  • Advanced GitLab experience including GitLab CI/CD, Runner infrastructure, security features or administration; GitHub Actions
  • TypeScript or Go in addition to Python
  • Configuration management with Ansible or similar
  • Serverless and event-driven patterns including Lambda, Step Functions, EventBridge, API Gateway
  • Automated testing for infrastructure, security scanning, policy-as-code or compliance automation
  • Building internal developer platforms, self-service infrastructure or reusable DevOps tooling
  • Contributions to open-source projects or technical communities
  • Interesting, complex and long-term cloud infrastructure projects for international clients across Europe and the USA
  • A strategic technical role with real influence on cloud architecture, DevOps practices and engineering standards
  • Continuous professional growth and training including AWS certifications
  • Hands-on access to modern cloud-native, AI/GenAI and automation technologies in real enterprise environments
  • Company English lessons with a native teacher
  • Flexible working hours, home office options and a healthy work-life balance
  • Dog-friendly downtown office in Budapest

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