Aws solutions architect Job at Noveo

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

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Aws solutions architect

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