20 publicaciones de empleo destacadas en database reliability engineer (¡Están contratando!)

AWS AI Cloud Engineer (part-time)
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- Media jornada
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- Informática
- Inglés
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- Jornada completa
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- Trabajo híbrido
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- Inglés
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- Teletrabajo
- DevOps
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- Desarrollo de software
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- Jornada completa
- Informática
- DevOps
- Java
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- Jornada completa
- DevOps
- Inglés
- AWS
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- Microsoft Excel
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Factorial —Barcelona, Barcelona provincia
- De 40.000 € a 49.000 € al año
- Trabajo híbrido
- Azure
- DevOps
- SQL
Solicitud rápida
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zooplus SE —Madrid, Madrid provincia
- De 45.400 € a 68.000 € al año
- Jornada completa
- Trabajo híbrido
- Microsoft Excel
- Oracle
- Inglés
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Software Development Engineer in Test III
Solera —Madrid, Madrid provincia
- Jornada completa
- Informática
- DevOps
- Java
Data Engineer
Lighthouse Intelligence Ltd. —Barcelona, Barcelona provincia
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Specialist IoT Cloud Engineer Lead
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- Teletrabajo
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- Seguro de vida
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- Inglés
- Oficina
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Giesecke+Devrient —Sant Joan Despí, Barcelona provincia
- Jornada completa
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- AWS
- Scripting
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Backend Engineering Team Lead
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- DevOps
- Inglés
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Nextlane —Vigo, Pontevedra provincia
- Disponibilidad fin de semana
- Trabajo híbrido
- Azure
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- Inglés
8d

Quiero recibir la alerta de empleo más reciente de database reliability engineer

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AWS AI Cloud Engineer (part-time)

Neurons Lab
Madrid, Madrid provincia

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Detalles del empleo

Media jornada

Cualificaciones

SSO
Azure
Derecho
DevOps
Inglés
Máster
RBAC
AWS
PostgreSQL
Terraform
Redis
Cloud
S3
Inteligencia artificial
Python
Alemán
Gestión de identidades y accesos

Descripción completa del empleo

This is a short-term contract engagement of 5 weeks at 0.3 FTE (approximately 12 hours per week).

The schedule is flexible; however, some availability during standard business hours will be required for team syncs and occasional client meetings.

Remote position, Madrid-based candidates only — due to equipment logistics, we will ship dedicated equipment to the engineer's location.

About the project

Join Neurons Lab as a Cloud Engineer on a delivery engagement with a regulated EU BFSI enterprise (German-speaking client). The product is an AI / RAG-based enterprise productivity tool running in production across the client's internal teams.

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.

This is a pure delivery role on a live, customer-managed AWS environment. Data protection is the single most important constraint on every architectural and operational decision.

Reporting: AI Architect on the engagement; day-to-day collaboration with the AI Delivery Manager and ML Engineer.

Areas of Responsibility

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 — the client expects us to handle this end-to-end.
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 so handover to the next engineer takes days, not weeks.

Skills

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.

Knowledge

AWS Certified Solutions Architect — Associate or Professional (required), or AWS Certified DevOps Engineer — Professional.
Working knowledge of AWS Well-Architected framework, especially Security and Reliability pillars applied to BFSI.
Familiarity with EU AI Act obligations relevant to RAG / GenAI products.
GDPR fundamentals as they apply to credentials, logs, and EU data residency.

Experience

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.

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Quiero recibir la alerta de empleo más reciente de database reliability engineer

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