About DoiT
DoiT is a global technology company that works with cloud-driven organizations to leverage public cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state—from planning to production.
Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more.
The Opportunity
As a Senior Cloud Architect, you will be part of our global Forward Deployed Engineering organization, working with rapidly growing companies in EMEA and around the world. This role sits within FDE Delivery and focuses on our install base, product adoption and customer health.
Responsibilities
- Core – Deep Cloud Expertise: Be the trusted cloud engineer customers lean on for high‑impact technical optimization work across cost, reliability, security, and performance. Design and implement solutions that improve cost efficiency, increase reliability and resilience, strengthen security posture, and reduce operational toil.
- Builder – Product Feedback & Contribution: Turn one‑off field work into reusable assets that improve both customer outcomes and the product itself. Convert one‑off customer solutions into Gravel Roads - reusable patterns such as playbooks, Terraform modules, CloudFlow templates, cloud diagrams, and internal/external documentation.
- Account Team – Embedded Execution: Operate as an embedded technical partner inside the account team. Work alongside Customer Success Managers and Account Managers to deliver impactful outcomes. Partner with customers' engineers, architects, and FinOps teams to translate vague pain points into concrete technical optimization plans.
- Product Expert – DoiT Cloud Intelligence™ (DCI): Become an expert in DCI and use it hands‑on to drive concrete customer outcomes. Master DoiT Cloud Intelligence™ products and services — including Cloud Analytics, DCI Insights, Cloud Composer, CloudFlow, DataHub, PerfectScale, and other Enterprise Platforms.
Full-time employee benefits include: * Unlimited Vacation * Flexible Working Options * Health Insurance * Parental Leave * Employee Stock Option Plan * Home Office Allowance * Professional Development Stipend * Peer Recognition Program
We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally.
Experience
- 4+ years of experience architecting, deploying, and managing cloud-based AI/ML solutions, including production workloads.
- Proven track record designing and operating large, distributed systems on AWS.
AWS & GenAI / ML Expertise
- Advanced proficiency with AWS services relevant to AI/ML and GenAI.
- Hands-on experience with Amazon Bedrock for deploying and scaling foundation models and Generative AI workloads.
- Experience fine-tuning and deploying Large Language Models (LLMs) and multimodal AI using Amazon SageMaker.
- Strong prompt engineering skills and familiarity with rigorous model evaluation.
- Understanding of agentic capabilities and patterns for AI agents.
- Experience with Amazon Q Business and Amazon Q Developer.
ML Pipelines, Data & MLOps
- In-depth knowledge of Amazon SageMaker components such as Pipelines, Model Monitor, Data Wrangler, and SageMaker Clarify.
- Proficiency integrating TensorFlow, PyTorch, and other ML frameworks with SageMaker.
- Experience with distributed training and performance optimization for inference.
- Strong data-engineering skills on AWS: Amazon S3, AWS Glue, Lake Formation, Redshift.
- Experience building end-to-end AI/ML workflows using services like AWS Lambda, Step Functions, API Gateway, and containerized deployments on Amazon EKS / AWS Fargate.
DevOps, MLOps, Governance & Security
- Hands-on experience with CI/CD for AI/ML.
- Proficiency in monitoring and operating AI systems using Amazon CloudWatch.
- Strong understanding of AI governance, security, and compliance on AWS, including IAM, KMS, and data privacy patterns.
- Familiarity with AI ethics and bias detection/mitigation.
Multi-Cloud Awareness & Collaboration
- Working knowledge of Google Cloud AI tools.
- Proven ability to mentor peers and collaborate across Sales, CS, and Product.
Soft Skills
- Excellent communication skills across technical and business audiences.
- Natural ownership mentality.
- Demonstrated ability to work effectively in a remote-first, global environment.
