Jobs in Valladolid, Spanien

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.

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. This role offers you the chance to :

• Apply your hands-on experience & skills in a consultative manner to address our customers’ strategic and tactical needs around cloud technologies
• Grow your technical and interpersonal skills by addressing customer challenges in your daily work and leveraging dedicated time allocated by the company for learning new technologies and engaging in internal initiatives
• Strengthen your personal brand through thought leadership activities such as blogging, public speaking, and participation in technology events

Qualifications

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, and selecting the appropriate tools to address business problems at the correct scale.
• Advanced proficiency in 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.

Generative AI and Cutting-Edge Technologies :

• Expertise in Amazon Bedrock for deploying foundation models and managing scalable GenAI workloads.
• Proficiency in fine-tuning and deploying Large Language Models (LLMs) and multimodal AI using Amazon SageMaker JumpStart and Hugging Face on AWS.
• Experience leveraging Amazon Q (formerly AWS CodeWhisperer) Business and Developer for AI-powered coding productivity and automation.

Machine Learning Frameworks and Pipelines :

• In-depth knowledge of Amazon SageMaker, including Pipelines, Model Monitor, Data Wrangler, and SageMaker Clarify for bias detection and interpretability.
• Skilled in distributed model training with multi-GPU clusters and optimization for high-performance inference.

Data Engineering and AI Workflow Optimization :

• Proficient in building data pipelines with Amazon S3, AWS Glue, Lake Formation, and Redshift for AI and ML workloads.
• Experienced in optimizing data preparation for large-scale AI model training and inference workflows.

AI Integration and Deployment :

• Expertise in building end-to-end AI pipelines using AWS Lambda, Step Functions, and API Gateway for real-time AI inference and automation.
• Familiarity with containerized AI deployments using Amazon EKS and AWS Fargate.

DevOps and MLOps Expertise :

• Hands-on experience with CI / CD pipelines for AI / ML workflows using AWS CodePipeline, CodeBuild, and SageMaker Pipelines.
• Proficiency in monitoring and maintaining AI systems with Amazon CloudWatch and SageMaker Model Monitor.

AI Governance and Security :

• Strong understanding of AI governance, incorporating IAM, AWS Key Management Service (KMS), and compliance frameworks.
• Knowledgeable in AI ethics, bias detection, and accountability using tools like SageMaker Clarify.

Emerging AI Trends :

• Up-to-date on Generative AI advancements such as RLHF (Reinforcement Learning with Human Feedback), foundation model fine-tuning, and hybrid AI architectures.
• Familiarity with integrating open-source tools like Hugging Face Transformers and AWS-native solutions.

Knowledge of Multi-Cloud AI Tools :

• Good knowledge and understanding of Google Cloud AI tools such as Vertex AI, Cloud AutoML, and BigQuery ML, enabling effective integration in multi-cloud environments.

Mentoring and Enablement Skills :

• Proven ability to mentor team members and enable cross-functional collaboration to foster technical growth and innovation.
• Skilled in creating knowledge-sharing platforms and hands-on workshops to enhance team capabilities.

Bonus Points

• Passion for technology, with a demonstrated ability to quickly learn and stay up to date with industry trends.
• Data certification is a major advantage (e.g., Stanford, Coursera, Udacity, MIT, eCornell, or any Data certification with AWS / GCP).
• BA / BS degree in Computer Science, Mathematics, Economics, or a related technical field, or equivalent practical experience.

Be your truest self. Work on your terms. Make a difference.

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.

What does being a Do’er mean? We’re all about being entrepreneurial, pursuing knowledge and having fun! Click here to learn more about our core values .

We thought so too, but we’re here and happy we hit that ‘apply’ button.

• Unlimited Vacation
• Flexible Working Options
• Health Insurance
• Employee Stock Option Plan
• Professional Development Stipend

DoiT unites as Many Do’ers, One Team, where diversity is more than a goal—it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success.

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Are you based in the UK, Ireland, Estonia, Netherlands, Sweden and Spain (for a full-time permanent role) or available to work as a contractor in Portugal or other Eastern European locations?

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We are currently only accepting applications from candidates located within the areas specified in the job description.

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Do you have 4 or more years of experience designing and deploying AI / ML solutions on cloud platforms, specifically AWS?

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Have you architected production-grade Generative AI solutions using services like Amazon Bedrock or SageMaker with Hugging Face?

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Have you built or optimized distributed ML pipelines using AWS services like SageMaker Pipelines, Step Functions, Lambda, and EKS or Fargate?

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Do you have experience with implementing AI governance and security best practices using AWS IAM, KMS, and SageMaker Clarify?

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Voluntary Disclosure of Gender

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At DoiT International, our unwavering dedication to cultivating a diverse and inclusive workplace remains paramount. In line with this commitment, we are presently engaged in the collection of gender data to assess and fortify our diversity and inclusion programs.

It is imperative to emphasize that the information collected is meticulously segregated from your employment records and holds no bearing on any employment-related determinations. We wish to underscore that your privacy is rigorously safeguarded as DoiT International processes gender data in an aggregate and de-identified manner. Be assured that under no circumstances will this information be divulged or disseminated externally in a manner that compromises anonymity.

While the provision of this information is entirely voluntary, we extend an invitation for you to consider self-identifying. Such voluntary contributions substantiate and fortify DoiT's steadfast commitment to fostering diversity and inclusion within our organizational fabric.

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