DoiT
Senior Cloud Architect, Delivery (GenAI)
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Senior Cloud Architect
Location
Our [Senior Cloud Architect] will be an integral part of our global Forward Deployment Engineering team. This role is available:
- Full-Time Employees: UK, Ireland, Estonia, Sweden, the Netherlands, and Israel
- Contractors: Eastern Europe or Portugal
About DoiT
DoiT is a global technology company that helps cloud-driven organizations leverage public cloud to achieve business growth and innovation. We combine data, technology, and human expertise to ensure customers operate in a well-architected and scalable state—from planning to production.
Delivering DoiT Cloud Intelligence, the only solution that integrates advanced AI/ML technology with human intelligence, we solve complex multicloud problems and drive efficiency. With decades of multicloud expertise, we specialize in:
- Kubernetes
- Generative AI (GenAI)
- CloudOps
- And more
An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we serve 4,000+ customers worldwide.
The Opportunity
As a Senior Cloud Architect, you’ll join our global Forward Deployed Engineering (FDE) organization, working with rapidly growing companies in EMEA and globally. You will focus on customer health, product adoption, and install base optimization.
Your responsibilities include:
Core: Leading AI/ML and GenAI Solutions
- Lead the design and implementation of production-grade ML/GenAI solutions on AWS, with awareness of multicloud environments.
- Serve as a hands-on expert and trusted advisor for customers running scalable AI/ML workloads, from discovery through deployment and optimization.
- Translate complex business problems into secure, reliable, cost-efficient, and observable cloud architectures.
- Drive adoption of reusable AI/ML patterns and "gravel roads" (templates, documents, and automations) that influence DoiT’s product roadmap.
- Focus on install base health, proactive engagements, and account-team collaboration.
Responsibilities
Core – Deep Cloud Expertise
- Be the trusted cloud engineer customers rely on for high-impact technical optimization in cost, reliability, security, and performance.
Design and implement solutions that:
- Improve cost efficiency (right-sizing, reserves/commits, storage optimization).
- Boost reliability (high availability, DR planning, SLO/SLA-aware architectures).
- Strengthen security (IAM, network segmentation, data protection, least privilege).
- Reduce operational toil (automation, self-service, guardrails, policy enforcement).
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Activities
- Deliver structured engagements like:
- Cloud Optimization Sessions
- Cost/efficiency/performance workshops
- Security/reliability reviews
- "Well-architected" assessments or architecture deep dives.
- Resolve expert-level inquiry/support requests with deep cloud expertise.
- Master AI/ML domains, including:
- Deploying and operating ML/GenAI workloads (training/inference).
- GPU optimization and cost-efficient scaling.
- MLOps, integrating monitoring, logging, and FinOps.
- Safely leveraging managed AI services like Amazon Bedrock, SageMaker.
Builder – Product Feedback & Contribution
- Reframe one-off solutions into reusable patterns (e.g., Terraform modules, CloudFlow templates, DCI insights) to enhance customer outcomes and the product.
Provide structured feedback to DoiT’s:
- Product & Engineering teams on real-world usage gaps and automation opportunities.
- AI governance, security, and compliance patterns.
- Internal tooling & enablement (documentation, demos, training sessions).
Account Team – Embedded Execution
- Embedded technical partner in account teams, collaborating with Customer Success Managers (CSMs) and Account Managers (AMs).
Key Contributions:
- Deliver repeatable Cloud Optimization solutions OR job description text across accounts.
- Translate cloud problems into technical action plans with customers (FinOps, engineering, leadership).
- Co-deliver complex engagements alongside DLFs, ensuring design reviews, engagement plans, and refinement.
- Simplify technical concepts for both engineers and non-technical stakeholders.
- Document everything: architectures decisions, and implemented changes for posterity.
Product Expert – DoiT Cloud Intelligence™ (DCI)
- Become an expert in our proprietary Cloud Intelligence suite:
- Cloud Analytics, DCI Insights, Cloud Composer, CloudFlow, DataHub, PerfectScale, and more.
Day-to-Day Actions:
- Cloud Analytics & Allocations: Build reports for finance, leadership, and engineering teams.
- Adapture Insights: Prioritize and execute cost, risk, and reliability fixes.
- Cloud Composer & Recipes: Craft tailored ML/Q queries for customer insights.
- CloudFlow: Automate operations like anomaly routing, guardrails, and policy enforcement.
- DCI Integrations: Embed DCI into a customer’s observability, CI/CD, governance pipelines.
- Telemetry Alignment: Enhance logging and anomaly monitoring to spot high-impact issues earlier.
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Requirements
Experience Required
- 4+ years specializing in:
- Cloud infrastructure, Kubernetes, ML/GenAI
- AWS Expertise:
- Building and optimizing scalable, distributed systems
- Hands-on with Amazon Bedrock, SageMaker, and other managed AI services
- Experience in fine-tuning LLMs,-risk-prompt engineering, scalable GenAI workloads
Technical Domains
✦ AI/ML – MLOps and AWS Cloud
- Amazon SageMaker (Pipelines, Model Monitor, Data Wrangler, SageMaker Clarify)
- TensorFlow/PyTorch books on AWS
- Distributed training & inference optimization
✦ Data & Engineering on AWS
- Tools: S3, Glue, Lake Formation, Redshift
- Automation: Lambda, Step Functions, API Gateway, EKS/Fargate
✦ MLOps, Security & DevOps
- CI/CD pipelines, SageMaker Pipelines, SageMaker Explainability
- Model monitoring, TeamWork + CloudWatch, SageMaker Clarify
- IAM, data encryption, KMS-hands-oneself
Additional Hard Skills
🔹 Hugging Face ecosystems, open-source AI stacks 🔹 RLHF, prompt tuning, model evaluation
Soft Skills
✦ Agile cross-functional collaboration - consulting, SaaS, explain complex tech ✦ Full ownership + problem mastery - fast escalation + project ownership ✦ Remote-first mentality - global agility
Credentials (Bonus)
✦ BA/BS in Computer Science, Maths, or related field. ✦ AWS/GCP/AI certifications (Core, ML, or security areas).
Who are Do’ers?
We call our talent Do’ers—ambitious, entrepreneurial, and adaptable individuals who live DoiT’s core values. We encourage autonomy, knowledge-sharing, and a healthy work-life balance.
Life With DoiT
- Unlimited vacation.
- Flexible work schedules.
- Hair’s care, parental leave.
- Stock options + home office stipends.
- Career development stipend, peer recognition, and team events.
We’re a global team of difference-makers with diverse perspectives powering innovation. Celebrating our unique backgrounds keeps us all excelling.
Apply:
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