DevOps Engineer (m/f)

Grupo Egor

Lisboa

Hybrid

EUR 45,000 - 65,000

Full time

11 days ago

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Benefits offered by this job

Meal allowance
Hybrid model (Lisbon)
Corporate benefits

Job summary

IT House in Lisbon is recruiting a DevOps Engineer for a client in the logistics sector. You will build and operate cloud-native infrastructure for AI workloads, prioritizing Azure with AWS support as needed, and contribute to AI platform maturity in a hybrid Lisbon setting.

You will automate provisioning, CI/CD, monitoring, and security controls, collaborating with international teams. Strong Python/SQL skills and fluent English are required to succeed in this role.

Qualifications

  • Experience with cloud-native development on Azure with AWS exposure.
  • Proficient in IaC, CI/CD, monitoring, logging, and operational support.
  • Strong Python and SQL skills; TypeScript optional.
  • Experience in cross-functional, international teams and GenAI tooling.

Responsibilities

  • Build and operate cloud-native infrastructure for AI solutions and data pipelines using Azure as the primary platform.
  • Create reusable infrastructure, deployment, observability, and environment patterns to accelerate AI teams from prototype to production.
  • Automate provisioning, configuration, CI/CD, monitoring, logging, secrets management, and cost controls for AI workloads.
  • Support cloud architecture decisions for agentic workflows, model integrations, event-driven services, and data platforms.
  • Ensure cloud environments comply with group standards for identity, access, encryption, logging, isolation, and resilience in collaboration with security teams.
  • Collaborate with country IT and local teams to onboard environments, connect systems, troubleshoot deployments, and scale AI use cases.
  • Continuously improve platform reliability, developer experience, cloud cost transparency, and operational maturity.

Skills

Python
SQL
Cloud-native development
CI/CD
Containerized workloads
Operational support
GenAI tooling
Fluent English

Tools

Azure
AWS
Terraform
GitHub Copilot
Cursor

Job description

IT House is recruiting a DevOps Engineer for a client in the logistics sector, based in Lisbon.

RESPONSIBILITIES-
  • Build and operate cloud-native infrastructure for AI solutions, data pipelines, APIs, agents, and platform services, with Azure as primary platform and AWS support where required;
  • Create reusable infrastructure, deployment, observability, and environment patterns to accelerate AI teams from prototype to production;
  • Automate provisioning, configuration, CI/CD, monitoring, logging, secrets management, and cost controls for AI workloads;
  • Support cloud architecture decisions for agentic workflows, model integrations, event-driven services, and data platforms;
  • Ensure cloud environments comply with group standards for identity, access, encryption, logging, isolation, and operational resilience in collaboration with security teams;
  • Collaborate with country IT and local teams to onboard environments, connect systems, troubleshoot deployments, and scale AI use cases;
  • Continuously improve platform reliability, developer experience, cloud cost transparency, and operational maturity.
PROFILE-
  • Strong cloud-native development and deployment experience with Azure expertise and practical AWS exposure;
  • Hands-on experience with infrastructure automation (IaC), CI/CD, containerized workloads, monitoring, logging, and operational support;
  • Solid engineering skills in Python and SQL, with optional TypeScript capability;
  • Experience with enterprise data engineering concepts (ETL, data pipelines, data storage, integration patterns);
  • Experience working in cross-functional, international teams and with local IT organizations;
  • Comfortable using GenAI software engineering tools (GitHub Copilot, Cursor, or similar);
  • Pragmatic, outcome-driven mindset with ability to operate in evolving AI environments;
  • Fluent English (mandatory).
OFFER-
  • Contract with IT House | Egor Group;
  • Base salary + Meal allowance;
  • Hybrid model (Lisbon);
  • Other corporate benefits.
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