Neurons Lab
51 - 200 employees
💰 Corporate Round on 2022-10
Neurons Lab is a globally distributed AI R&D company that helps deep tech innovators to accelerate data-driven products development and launch. Our team has expertise in fundamental sciences, full-stack AI/ML engineering, and product design. Such a rare combination and access to scarce talent allows Neurons Lab to build disruptive solutions for clients in HealthTech and EnergyTech industries. Neurons Lab operates within a proprietary delivery framework that is tailored to the innovation environment: fierce competition, tight timelines, little-to-none datasets, and the necessity to generate novel solutions.
AWS AI Cloud Engineer – Part-time
🔥 0 minutes ago
🗣️🇩🇪 German Required
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Neurons Lab
51 - 200 employees
💰 Corporate Round on 2022-10
Neurons Lab is a globally distributed AI R&D company that helps deep tech innovators to accelerate data-driven products development and launch. Our team has expertise in fundamental sciences, full-stack AI/ML engineering, and product design. Such a rare combination and access to scarce talent allows Neurons Lab to build disruptive solutions for clients in HealthTech and EnergyTech industries. Neurons Lab operates within a proprietary delivery framework that is tailored to the innovation environment: fierce competition, tight timelines, little-to-none datasets, and the necessity to generate novel solutions.
📋 Description
• Join Neurons Lab as a Cloud Engineer on a delivery engagement with a regulated EU BFSI enterprise (German-speaking client). • You will pick up a CDK-based codebase already deployed inside the client's AWS account, take over from the outgoing engineer, and own cloud delivery end-to-end: production hardening, security findings remediation, RAG infrastructure stability, and SSO/RBAC integration with the client's identity stack. • Report to AI Architect on the engagement; collaborate day-to-day with the AI Delivery Manager and ML Engineer. • Own and extend the existing AWS CDK codebase deployed inside the client's AWS account. • Operate the production stack: ECS Fargate, ECR, ALB (public + internal), VPC, CDN, S3, AWS Bedrock. • Run the data layer: Postgres, Redis, vector database (Qdrant or similar), LLM observability (Langfuse or similar). • Triage and remediate AWS Security Hub / Health Dashboard findings independently. • Integrate SSO and RBAC with the client's identity stack. • Keep the RAG stack reliable as additional pilot teams onboard; partner with the ML Engineer on retrieval-quality incidents. • Own cost tracking and capacity planning for the client's Bedrock + ECS spend. • Document CDK constructs, runbooks, and incident playbooks for effective handover.
🎯 Requirements
• 5+ years in cloud / DevOps / cloud engineering, with 2+ years of hands-on AWS CDK in production. • 2+ years operating AI/ML or GenAI workloads on AWS (Bedrock, SageMaker, or comparable). • Direct experience deploying inside a regulated client's AWS account (BFSI, healthcare, government, or similar) — not just internal sandbox environments. • Track record of stepping into an existing codebase mid-project and shipping within 1–2 weeks. • Comfortable being the only Cloud Engineer on a small (3–4 person) delivery team. • Advanced AWS CDK (primary) — must be able to extend an existing CDK codebase from day one, not just author from scratch. • AWS Bedrock hands-on experience — model invocation patterns, IAM scoping, cost monitoring. • ECS Fargate in production: task definitions, service auto-scaling, ALB target groups, blue/green or rolling deploys. • Networking: VPC design, public/private ALB patterns, CloudFront, private subnet egress. • RAG-stack ops: deploying and operating a vector database, Postgres (RDS/Aurora), Redis (ElastiCache), and an LLM observability layer on AWS. • AWS Security Hub / Inspector / Health Dashboard — finding triage and remediation in restricted client environments. • Python — FastAPI backends, MLOps automation, deployment glue. • Identity & access: SSO (Okta / Azure AD / Cognito), RBAC, IAM least-privilege design. • Terraform — secondary; useful for modules supplied by the client's IT team. • Working in restricted client AWS accounts — limited permissions, async approvals, wiki/docs-portal handovers. • Communication: clear written and verbal English. German is a strong plus, not required.
🏖️ Benefits
• Remote position, Madrid-based candidates only — due to equipment logistics, we will ship dedicated equipment to the engineer's location.
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