AWS Solutions Architect
About The Position
As a Delivery Solutions Architect, you are the technical lead on customer engagements. You own the technical vision and the SOW’s technical deliverables, and lead the Cloud Engineers who build them. You serve as the customer’s trusted technical advisor, connecting business goals to architecture and ensuring that delivered solutions meet both. Most work involves on-premises-to-AWS migrations and new AWS architectures, with a growing share of GenAI workloads. You use coding agents such as Claude Code and Codex daily to increase delivery speed and quality. AllCloud provides AI-led professional and managed cloud services. It is an AWS Premier Tier Services Partner with audited Managed Services and a Salesforce Consulting Partner, serving clients worldwide from offices in North America and EMEA. The position is home based in the US or Canada in the Eastern Time zone and is full-time and permanent. AllCloud promotes learning and personal development and is an Equal Opportunity Employer.
Requirements
- At least 8 years of experience in enterprise IT, including at least 5 years of hands-on experience in software development, DevOps, systems engineering, or architecture.
- Proven delivery of production AWS solutions, especially large migrations.
- Experience leading technical teams on customer-facing projects.
- Depth in at least two of the following areas: infrastructure/networking, security, databases/data, or containers/serverless.
- Hands-on experience with infrastructure as code using Terraform or CDK/CloudFormation, and with CI/CD.
- Daily, practical use of AI coding agents such as Claude Code, Codex, or similar tools.
- Exposure to GenAI on AWS, including Bedrock, RAG, or agents.
- Confidence working with customer stakeholders, from engineers to executives.
- Strong written communication skills for designs, runbooks, status updates, and handover documentation.
Nice To Haves
- AWS Certified Solutions Architect – Professional; required within 2 months if not already held.
- AWS Generative AI Developer – Professional or Machine Learning Engineer – Associate certification.
- Experience with AWS MAP-funded migrations.
- A degree in Computer Science or a related technical field.
Responsibilities
- Own the technical vision and architecture for each engagement from kickoff through handover.
- Own the SOW’s technical deliverables, scope, and requirements, and flag risks or scope changes early.
- Lead and mentor project Cloud Engineers by setting direction, reviewing designs and code, and unblocking the team.
- Act as the customer’s trusted technical advisor, working with stakeholders from engineers through IT leadership.
- Translate business and application requirements into technical designs and delivery plans.
- Lead on-premises and data center migrations to AWS, including discovery, wave planning, and cutover.
- Design and build AWS architectures, including GenAI workloads such as Amazon Bedrock.
- Use coding agents such as Claude Code and Codex for infrastructure as code, automation, documentation, and delivery acceleration.
- Apply AWS Well-Architected principles to designs, including security, reliability, performance, and cost considerations.
- Work with project managers, managed services, and sales; support scoping follow-on work when needed.
- Build reusable assets and reference architectures and share them across the practice.
Benefits
- Learning and personal development opportunities
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
