We are looking for a Solution/Cloud Architect to connect deep technical expertise with client-facing pre-sales engagement. This role combines proposal and RFP support, solution design, and selective delivery involvement, ensuring that solutions align with client expectations and long-term operational needs.
- AWS Solutions Architect Professional certification
- Experience with multi-account setups and AWS security best practices (Landing Zones, IAM boundaries, Guardrails)
- Background in regulated industries (finance, healthcare, government)
- Exposure to multi-cloud architectures (Azure, GCP) and hybrid-cloud designs
- What We Offer 16 days of paid time off
- Official public holidays
- Participation in company events
- Health insurance
- A friendly environment and supportive team
- Engaging projects with opportunities for career growth
- Join us and bring your expertise into projects that matter!
- Lead and participate in discovery workshops with clients to capture both technical and business requirements
- Design high-level architecture diagrams, define component responsibilities, and ensure architectural alignment with client goals
- Prepare technical inputs for proposals, RFP responses, and solution blueprints, supporting sales and business development teams
- Deliver client-facing architectural presentations and participate in pre-sales discussions
- Recommend and select cloud services/tools to design secure, scalable, and cost-optimized solutions
- Provide infrastructure cost estimates, sizing guidance, and effort assessments for proposals
- Perform knowledge transfer to delivery teams, ensuring clear communication of solution vision, architecture decisions, and technical context
- Collaborate closely with AWS Solution Architects and AWS Sales teams to align with best practices and co-create joint solutions
- Required Skills 4+ years of experience in solution or cloud architecture with a cloud-first mindset (min
- 3 years on AWS)
- Strong knowledge of AWS services (EC2, EKS, RDS, Lambda, S3, API Gateway, Bedrock, etc.)
- Hands-on experience designing solutions with AI/ML components (Amazon Bedrock, SageMaker, AI-powered analytics, or custom ML pipelines)
- Familiarity with SDLC practices: DevOps pipelines, infrastructure-as-code, testing, monitoring
- Ability to model cloud costs, prepare TCO comparisons, and conduct trade-off analysis (performance, cost, scalability)
- Excellent communication & presentation skills, capable of engaging both technical and non-technical stakeholders