16 melhores vagas de architect aws para lisboa, p11 (Contratando agora!)

Senior AI DevOps / LLMOps
TechBiz Global GmbH —Lisboa
- Período Integral
- Teletrabalho
- Graduação
Candidatura rápida
Senior Fullstack Developer
DSV —1050 Lisboa
- Período Integral
- Modelo Híbrido
Senior OutSystems Developer
OutSystems —Lisboa
- Período Integral
Platform Engineer
Xpandit —Lisboa
- Mestrado
- Graduação
Devops Architect
NTT Ltd —Lisboa
Data & AI Cloud Architect
Movilges —Lisboa
- Graduação
Senior Cloud Engineer
Vodafone —Lisboa
- Modelo Híbrido
Senior Software Engineer
OutSystems —Lisboa
- Período Integral
Há 1 dia
Cloud System Engineer
InnoWave —Lisboa
- Modelo Híbrido
10 h
AI Architect
NTT Ltd —Lisboa
- Graduação
Cloud Architect
NTT Ltd —Lisboa
Senior AI Data Engineer
BMC Software —Lisboa
- Modelo Híbrido
Há 6 dias
Data Engineer II (Python & Cloud)
Efficio Consulting —Lisboa
Senior Data Engineer - Product
Feedzai —Lisboa
- Teletrabalho
Cloud Systems Engineer
Axians | Digital Solutions - Tech Talent —1990 Lisboa
- Graduação
Há 2 dias
Senior Cloud Engineer
Miniclip —Lisboa

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Senior AI DevOps / LLMOps

TechBiz Global GmbH
Lisboa

Candidatura rápida

Detalhes da oferta

Período Integral

Qualificações

Graduação

Descrição completa da oferta

At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking an Senior AI DevOps / LLMOps specialist to join one of our clients' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.

Key Responsibilities

Automation of Build-to-Production
Design and implement robust CI/CD pipelines tailored for AI, covering model weights,

dataset versioning, and application code.

Develop specialized workflows for PromptOps, ensuring that system prompts are

version-controlled, tested for regressions, and deployed with the same rigor as traditional

code.

Automate the deployment of Agentic workflows, managing the complexities of stateful

AI interactions and multi-agent handoffs.

2. AI Infrastructure as Code (IaC)

Provision and manage high-performance compute environments (GPU clusters, TPU

pods) using Terraform, Pulumi, or Ansible.

Define and enforce Policy-as-Code for AI endpoints to ensure compliance with security,

cost-usage limits, and data residency requirements.

Maintain a consistent environment across Hybrid Infrastructure, ensuring seamless

parity between On-Premises development and Cloud production.

3. Safe Experimentation & Controlled Releases

Architect Progressive Delivery strategies for AI, including Canary releases, Blue-Green

deployments, and Shadowing (where new models run in parallel with production to

compare outputs).

Build “Evaluation-in-the-Loop” gates within the pipeline to automatically test for bias,

hallucination, and performance degradation before a release.

Implement A/B testing frameworks specifically designed for LLM outputs and agentic

behavior.

4. Monitoring & Observability

- Establish deep observability into Inference Endpoints, tracking metrics like tokens-per-

second, latency, and drift in model accuracy.

Integrate feedback loops that capture production “edge cases” to feed back into the

training and fine-tuning pipelines.

Must-Have Technical Skills:

Orchestration: Advanced Kubernetes (K8s) skills, specifically with KubeFlow, Ray, or

NVIDIA Triton.

CI/CD & IaC: Expertise in GitHub Actions/GitLab CI, and Terraform or Pulumi.
AI Tooling: Experience with Weights & Biases, MLflow, LangSmith, or Arize

Phoenix.

Hardware: Understanding of GPU virtualization, CUDA drivers, and on-premises

hardware management.

Security: Familiarity with Open Policy Agent (OPA) and secret management (Vault).

Experience:

10+ years in DevOps, SRE, or Cloud Engineering.
2+ years of hands-on experience in MLOps or LLMOps, specifically moving LLMs

from notebook to production.

Proven experience managing Hybrid Cloud environments (e.g., AWS/Azure + Private

Data Center).

Candidatura rápida

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architect aws vagas para: lisboa, p11

Senior AI DevOps / LLMOps

Senior Fullstack Developer

Senior OutSystems Developer

Platform Engineer

Devops Architect

Data & AI Cloud Architect

Senior Cloud Engineer

Senior Software Engineer

Cloud System Engineer

AI Architect

Cloud Architect

Senior AI Data Engineer

Data Engineer II (Python & Cloud)

Senior Data Engineer - Product

Cloud Systems Engineer

Senior Cloud Engineer

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