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Aws solutions architect

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Noveo

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Location:
Cyprus

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Category:
IT - Software Development

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Contract Type:
B2B

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Salary:

Not provided
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Job Description:

We are looking for a Lead AWS Solutions Architect with AI/ML skills and at least one active AWS certification: SA Pro / ML Specialty or Assoc / GenAI Pro. About us On the market since 2002; Operational departments and development hubs worldwide. Project description We are an AWS Advanced Tier Services Partner. Our two main focus areas are migration projects (MAP program) and AI/ML solutions (Bedrock, SageMaker) as part of the AI Competency. Our clients range from small product teams to large enterprises with legacy infrastructure. Our architecture team consists of 10+ people. Projects are run autonomously, but solutions go through cross-reviews and team discussions – we have joint case study sessions and a shared knowledge base. There is no isolation or "forgotten on a project" culture. Our structure is flat, with no management layers or lengthy approval chains. Architects directly influence tool selection, shape internal standards, and drive practices.

Job Responsibility:

  • Presale – intro calls with clients, clarifying use cases, business requirements, and constraints, often extracting clear technical tasks from conflicting or vague business needs, preparing and presenting architecture and project plans
  • Assessment and planning – evaluating the client's current infrastructure, designing target architecture, prototyping AI/ML solutions, estimating phases and timelines with a focus on cost, maintainability, and compliance with best practices (WAF), planning data mobilization and migration
  • Implementation – Landing Zone, refining requirements during the process, close communication with the client at all stages, executing migration, fine-tuning infrastructure
  • Handover and support – acceptance testing, handover, initial operational support
  • Working with AWS architects – engaging with Amazon Solution Architects on technical matters, requesting solution validation, coordinating funding through partner programs
  • Upselling – identifying opportunities to expand scope and proposing them to the client – not a mandatory requirement but a valuable skill

Requirements:

  • 5–8 years in IT, with at least 3 years of hands-on AWS experience
  • AWS core services – VPC, EC2, ECS/EKS, Lambda, S3, RDS/Aurora, DynamoDB, IAM, CloudFormation/CDK
  • Practical understanding of WAF – not just "read the whitepaper" but applied on real projects
  • Experience conducting migration assessments and planning migrations (6R)
  • Proficiency with AI/ML services – Bedrock AgentCore, SageMaker – at least one project in production or close to it
  • Partner mechanics – understanding how AWS partner programs work: solution validation, funding requests, working with AWS Solution Architects on technical matters
  • DevOps – IaC (Terraform, CDK, CloudFormation), CI/CD (GitHub Actions, GitLab CI, CodePipeline), containers (Docker, ECS/EKS), observability (CloudWatch, Prometheus, Grafana, Datadog), networking and security (VPN, Transit Gateway, Security Groups, WAF, GuardDuty)
  • Programming – Python and TypeScript at a level sufficient for automation, writing/refactoring Lambda functions, and prototypes
  • Soft skills – fluent English (C1+) is mandatory as the primary working language with clients
  • Ability to break down complex technical solutions for business audiences
  • Capacity to extract clear tasks from messy briefings
  • Autonomy – you own the project from start to finish
  • Certifications – AWS Solutions Architect Professional, ML Engineer Specialty or Associate, or Gen AI Developer Professional – any of these is a significant plus

Nice to have:

  • Fluent Spanish (B2+)
  • FinOps – experience in cloud cost optimization, Cost Explorer, Savings Plans
  • MLOps – training, deployment, and model monitoring pipelines
  • GenAI frameworks – LangChain, LlamaIndex, Agentic AI patterns
  • Experience with NoSQL (DynamoDB, MongoDB, Redis) and data migration strategies
What we offer:
  • Paid vacations (24 working days/year) and sick leave
  • Stable long-term workload (8 hours per day, 40 hours per week), flexible working hours, fully remote
  • Working on exciting projects in international team of professionals
  • Opportunities for learning and practicing new technologies
  • internal training
  • Participating in inner meetups and permanent experience exchange with colleagues
  • Well-defined development processes and methodologies
  • Partial reimbursement of medical fees, massage or sports

Additional Information:

Job Posted:
May 16, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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