DevOps Engineer - Hybrid Lisbon (1-2 days/week office) em Lisboa, Portugal

DevOps Engineer (Azure/AWS) - Hybrid Lisbon (1-2 days/week office)

ABOUT THE OPPORTUNITY

Join one of Europe's largest parcel and logistics networks, present in around 40 countries with 1,600+ depots, at a key moment: the Group is centrally driving its AI agenda and rolling out Agentic AI across its countries. As a Senior DevOps Engineer, you will build and operate the cloud foundation for the Central AI team and its AI Hubs. Your work will make AI use cases, agents, data products and platform components reliable, scalable, secure and production-ready across the whole network.

This is a hands-on engineering role with strong delivery impact. You will work closely with Group AI leadership, the Agentic Platform team, data engineering, security, country IT and local implementation teams.

PROJECT & CONTEXT

The AI organisation runs on a multi-pillar model: domain-specific AI Hubs delivering advanced use cases, a central AI engineering pool, and an Agentic AI Platform that will let countries build and automate their own business processes. You will help take new AI use cases from incubation to deployment and scale. Your responsibilities include:

• Building and operating cloud-native infrastructure for AI solutions, data pipelines, APIs, agents and platform services, with Azure as the primary platform and AWS where existing data or integration landscapes require it
• Creating reusable infrastructure, deployment, observability and environment patterns that move teams from prototype to production faster
• Automating provisioning, configuration, CI/CD, monitoring, logging, secrets management and cost controls for AI workloads
• Supporting cloud architecture decisions for agentic workflows, model integrations, event-driven services, data platforms and external APIs
• Working with security and data protection teams on identity, access, encryption, logging, isolation and operational resilience
• Helping country IT and local teams onboard environments, connect systems, troubleshoot deployments and scale successful use cases
• Continuously improving platform reliability, developer experience, cloud cost transparency and operational maturity

Work model: Hybrid, starting with 1-2 office days per week. This may later reduce to 1-2 office days per month. The office is in the Greater Lisbon area (Venda do Pinheiro, Mafra/Malveira). Full remote is not available.

WHAT WE'RE LOOKING FOR (Required)

• Senior-level experience in cloud-native development and deployment
• Strong Azure experience, with practical exposure to AWS
• Strong hands-on experience with Infrastructure as Code, CI/CD, containerised workloads, monitoring, logging and operational support
• Solid engineering skills in Python and SQL , enough to support APIs, data workflows and platform integrations
• Understanding of enterprise data engineering concepts: ETL, data pipelines, data storage and integration patterns
• Experience working in cross-functional, international teams and with local IT organisations
• Comfortable using GenAI engineering tools such as GitHub Copilot , Cursor or OpenCode to speed up delivery
• A pragmatic, outcome-driven mindset and comfort working in a fast-evolving AI environment
• Languages: Fluent English (B2 minimum)

NICE TO HAVE (Preferred)

• TypeScript
• Hands-on data engineering experience
• Experience with Snowflake , Azure AI Foundry , Microsoft Agent Framework , LangChain , MCP (Model Context Protocol) or comparable AI platform tooling
• Exposure to frontend development, developer portals, workflow builders or internal platform UIs
• Experience in heterogeneous, multi-country enterprise environments
• Cloud certifications (Azure/AWS)
• Hands-on experience with DevSecOps, platform engineering or SRE practices

Compensation: €2,250 – €2,950/month net, depending on experience and seniority level.

Why HumanIT people stay (4.4 Glassdoor, 89% recommend)

• 15th month salary
• Health insurance covering your family
• Birthday off
• Mobility program for digital nomads
• Real work-life balance

Full benefits:
What it's really like: