Senior AWS Engineer – AI/ML

🔥 58 minutes ago

🇪🇸 Spain – Remote

💵 €85k / year

⏰ Full Time

🟠 Senior

☁️ Cloud Engineer

👻 Ghost score 4%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Cloud Bridge

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

💼 Consulting

🎯 Recruiter

🤝 B2B

Consulting • Recruitment • B2B

Cloud Bridge is a tech recruitment agency specializing in AWS and cloud/IT roles. The company connects cloud engineers, architects, and IT professionals with global clients and also recruits for its own internal team, focusing on remote and international placements. As part of Cloud Bridge and aligned with AWS (an AWS Premier Partner), it emphasizes deep cloud expertise to match technical talent with organizations using AWS.

📋 Description

• Build and deploy AI agents using Amazon Bedrock Agents, Strands framework, Knowledge Bases and Guardrails • Develop and operate ML training pipelines on Amazon SageMaker • Implement production infrastructure as Terraform IaC, including Lambda, EventBridge, DynamoDB, S3, SageMaker Pipelines and CloudWatch dashboards • Build evaluation harnesses and CI-runnable test suites for AI/ML systems • Implement MLOps pipelines, including model registry, deployment automation, drift monitoring, active learning loops and retraining triggers • Deliver AWS Landing Zone and multi-account environments using Control Tower, Organizations and Terraform • Contribute to migration and modernisation engagements, including server migrations, database migrations, networking and application platform builds • Design and build data engineering pipelines for ML training data • Implement security hardening for AI and infrastructure workloads • Produce technical documentation, architecture diagrams, runbooks, operational handover material and findings reports • Participate in weekly project cadences with Solutions Architects, Project Managers and customer stakeholders

🎯 Requirements

• 3+ years hands-on experience building solutions on AWS, including AI/ML workloads (Amazon Bedrock, SageMaker, or equivalent cloud ML platforms) • Strong Python engineering skills for production-grade ML pipelines, data processing, API integrations and evaluation frameworks • Experience with large language models and agentic AI patterns, including prompt engineering, RAG, tool use and agent frameworks • Solid understanding of EC2, VPC, Lambda, EventBridge, DynamoDB, S3, IAM, CloudWatch and RDS • Infrastructure as Code using Terraform, CloudFormation or CDK • Experience building CI/CD pipelines and automated testing • Ability to work within structured delivery teams and deliver to SOW-defined scope and timelines • Experience with AWS agent frameworks and tooling, including Strands SDK, Amazon Bedrock AgentCore or Amazon Quick • Practical experience with Amazon SageMaker training jobs, inference endpoints, Pipelines and model registry • Experience delivering AWS migration programmes • Experience with AWS Landing Zones, Control Tower and multi-account governance • Familiarity with ML evaluation methodology, including confusion matrices, confidence calibration, ECE and F1 disaggregation • Knowledge of security review and threat modelling for AI systems • AWS certifications such as ML Specialty or Solutions Architect Associate, or equivalent • Experience delivering within a consultancy or Professional Services environment