Our Senior Cloud Architect will be an integral part of our Cloud Reliability Engineering team in the UK, Ireland, Estonia, Netherlands, Sweden, and Spain.
The role is also available to contractors in other Eastern European locations / Portugal.
Who We Are
DoiT is a global technology company that works with cloud-driven organizations to leverage the 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. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide.
As a Senior Cloud Architect, you will be part of our global CRE team, working with rapidly growing companies in EMEA and around the world. You will apply your hands-on experience & skills in a consultative manner to address our customers' strategic and tactical needs around cloud technologies.
You will also have opportunities to strengthen your personal brand through thought leadership activities such as blogging, public speaking, and participation in technology events.
Minimum Requirements
Minimum of 4+ years of experience in architecting, deploying, and managing cloud-based AI / ML solutions.
Core AWS Expertise: Expertise in architecting, developing, and troubleshooting large production-grade distributed systems on AWS, with a focus on Generative AI and machine learning services.
Certified AWS Solutions Architect Professional and/or AWS Machine Learning Specialty.
Proven track record of architecting, deploying, and optimizing complex cloud solutions for AI-driven workloads.
Proficiency in fine-tuning and deploying Large Language Models (LLMs) and multimodal AI using Amazon SageMaker JumpStart and Hugging Face on AWS.
Additional skills include experience with machine learning frameworks, data engineering, AI workflow optimization, AI deployment, DevOps/MLOps, and knowledge of multi-cloud AI tools like Google Cloud's Vertex AI and BigQuery ML.
Educational background should include a BA/BS degree in Computer Science, Mathematics, Economics, or a related technical field, or equivalent practical experience.
We offer flexible working options, health insurance, professional development stipends, and a diverse, inclusive work environment.
Are you based in the UK, Ireland, Estonia, Netherlands, Sweden, or Spain (full-time)? Or available to work as a contractor in Portugal or other Eastern European locations? Will you require visa sponsorship?
Do you have 4+ years of experience designing and deploying AI/ML solutions on AWS? Are you certified as an AWS Solutions Architect Professional or hold the AWS Machine Learning Specialty certification? Do you have experience with AWS services like SageMaker, Lambda, EKS, or Fargate? Are you familiar with AI governance and security best practices using AWS IAM, KMS, and SageMaker Clarify?
Note: We are collecting gender data to assess and enhance our diversity and inclusion programs. Your privacy is protected, and data is processed in an anonymized manner.
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