Overview
Location : UK, Ireland, Estonia, Netherlands, Sweden and Spain. The role is also available to contractors in other Eastern European locations / Portugal.
We are DoiT, a global technology company that helps cloud-driven organizations leverage the cloud to drive business growth and innovation. We deliver DoiT Cloud Intelligence to solve multicloud problems and drive efficiency, with specializations in Kubernetes, GenAI, CloudOps, and more. We are an award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, serving more than 4,000 customers worldwide.
The Opportunity
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 hands-on experience and consultative skills to address customers’ strategic and tactical needs around cloud technologies
- Grow technical and interpersonal skills by solving customer challenges and taking advantage of learning time allocated by the company
- Strengthen personal brand through thought leadership activities such as blogging, public speaking, and participation in technology events
Responsibilities and Areas of Focus
Architect, deploy, and manage cloud-based AI / ML solutions; design scalable and resilient architectures on AWS and across multi-cloud environmentsLead and support multi-cloud AI initiatives, leveraging AWS services (e.g., SageMaker, Bedrock, Lambda, EKS, Fargate) and related toolsDevelop data pipelines and ML workflows using AWS services (S3, Glue, Lake Formation, Redshift) and monitoring / observability using CloudWatch and SageMaker Model MonitorImplement end-to-end AI pipelines and real-time inference, including API endpoints and automation via Step Functions and API GatewayAdvise on AI governance, security (IAM, KMS), and compliance, including bias detection and interpretabilityMentor team members and enable cross-functional collaboration; facilitate knowledge sharing and hands-on workshopsQualifications
Experience Requirement : 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; selecting tools to address business problems at scaleAdvanced proficiency in AWS with a focus on Generative AI and machine learning services; AWS Solutions Architect Professional and / or AWS Machine Learning Specialty certificationsProven track record of architecting, deploying, and optimizing complex cloud solutions for AI-driven workloadsGenerative AI and Cutting-Edge Technologies :
Expertise in Amazon Bedrock for foundation models and scalable GenAI workloadsProficiency in fine-tuning and deploying LLMs and multimodal AI using SageMaker JumpStart and Hugging Face on AWSExperience with Amazon CodeWhisperer / CodeWhisperer Business and Developer for AI-powered coding productivityMachine Learning Frameworks and Pipelines :
Knowledge of SageMaker components (Pipelines, Model Monitor, Data Wrangler, SageMaker Clarify)Experience with distributed model training on multi-GPU clusters and high-performance inferenceData Engineering and AI Workflow Optimization :
Proficiency building data pipelines with S3, AWS Glue, Lake Formation, Redshift for AI / ML workloadsExperience optimizing data preparation for large-scale model training and inferenceAI Integration and Deployment :
End-to-end AI pipelines using AWS Lambda, Step Functions, API Gateway; real-time inference and automationFamiliarity with containerized AI deployments using EKS and FargateDevOps and MLOps Expertise :
Hands-on CI / CD for AI / ML using CodePipeline, CodeBuild, and SageMaker PipelinesMonitoring and maintenance of AI systems with CloudWatch and SageMaker Model MonitorAI Governance and Security :
Strong understanding of AI governance, IAM, KMS, and compliance; bias detection and accountability with SageMaker ClarifyEmerging AI Trends :
Awareness of RLHF, foundation model fine-tuning, hybrid AI architectures; experience with open-source tools like Hugging Face and AWS-native solutionsKnowledge of Multi-Cloud AI Tools :
Familiarity with Google Cloud Vertex AI, AutoML, and BigQuery ML for multi-cloud integrationMentoring and Enablement Skills :
Ability to mentor team members and enable cross-functional collaboration; create knowledge-sharing platforms and hands-on workshopsBonus Points
Quick learner and passionate about technology; data certifications (e.g., Stanford, Coursera, Udacity, MIT, eCornell) or AWS / GCP equivalentsBA / BS in Computer Science, Mathematics, Economics, or related field, or equivalent practical experienceCompany Culture and Benefits
Unlimited VacationFlexible Working OptionsHealth InsuranceEmployee Stock Option PlanProfessional Development StipendWe are a global, remote-friendly team that supports work–life balance and professional growth. We value diversity and inclusion; learn more about our core values in our materials.
Equal Opportunity and Compliance
DoiT International is an equal opportunity employer. We collect gender data solely for diversity and inclusion initiatives, in aggregate and de-identified form. Your privacy is protected, and participation is voluntary.
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