DevOps Engineer

Axians Portugal; Lisboa; Presencial; EUR 60 000 - 100 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

Career development

Work-life balance

Competitive compensation and bonuses

Resumo da oferta

Axians Portugal is seeking a DevOps Engineer to build, automate, and maintain cloud infrastructure supporting AI solutions, data products, and digital platforms across countries. You will primarily work on Azure with AWS as needed, focusing on CI/CD, automation, and operations.

You will collaborate with AI, Data, Platform, and Security teams to ensure scalable, secure, and reliable solutions, enhancing platform reliability and developer experience while maintaining cost transparency.

Qualificações

• 5 years of cloud-native development and deployment experience.
• Strong Azure experience; practical AWS exposure.
• Proficient Python and SQL; TypeScript is a plus.
• Experience with IaC, CI/CD, monitoring, and observability.
• Fluent English is mandatory.

Responsabilidades

• Build and operate cloud-native infra for AI, data, APIs on Azure primarily.
• Create reusable infrastructure, deployment, observability patterns.
• Automate provisioning, CI/CD, monitoring, logging, secrets, cost controls.
• Support cloud architecture decisions for agentic workflows and data platforms.
• Ensure cloud environments follow security, identity, encryption and resilience standards.
• Onboard environments with country IT teams; troubleshoot deployments.
• Improve platform reliability, developer experience, cost transparency, and maturity.

Conhecimentos

Azure

AWS

IaC

CI/CD

Python

SQL

TypeScript

Monitoring

Security

English

Ferramentas

GitHub Copilot

Cursor

OpenCode

Descrição da oferta de emprego

Join Axians, where innovation thrives on trust and autonomy, and where every challenge is an opportunity to create technology with impact.

DevOps Engineer

What We Are Looking For

We are looking for a DevOps Engineer to build, automate, and maintain the cloud infrastructure that supports AI solutions, data products, and digital platforms across diferent countries. You will work closely with AI, Data, Platform, and Security teams to ensure scalable, secure, and reliable solutions, primarily on Azure and, when required, AWS. This is a hands‑on role focused on cloud infrastructure, CI/CD, automation, monitoring, and operational excellence, helping teams accelerate the journey from development to production.

What You Will Do On a Daily Basis

• Build and operate cloud-native infrastructure for AI solutions, data pipelines, APIs, agents, and platform services, with Azure as the primary platform and AWS used where required by existing data or integration landscapes;
• Create reusable infrastructure, deployment, observability, and environment patterns that help AI teams move from prototype to production faster;
• 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, data platforms, and external APIs;
• Work with security and data protection teams to ensure cloud environments follow group standards for identity, access, encryption, logging, isolation, and operational resilience;
• Collaborate with country IT and local teams to onboard environments, connect systems, troubleshoot deployments, and scale successful AI use cases;
• Continuously improving platform reliability, developer experience, cloud cost transparency, and operational maturity.

Your Main Qualifications

• 5 years of experience with cloud-native development and deployment, ideally with strong Azure experience and practical exposure to AWS;
• Strong hands‑on experience with infrastructure automation (IaC), CI/CD, containerized workloads, monitoring, logging, and operational support;
• Solid engineering skills in Python, SQL, and optionally TypeScript, with the ability to support APIs, data workflows, and platform integrations;
• Experience working in cross-functional, international teams and with local IT organizations;
• Understanding of enterprise data engineering concepts such as ETL, data pipelines, data storage, and integration patterns – ideally with hands‑on experience;
• Comfortable using GenAI software engineering tools such as GitHub Copilot, Cursor, or OpenCode to accelerate delivery;
• Pragmatic, outcome-driven, and comfortable operating in an evolving AI environment;
• Fluent English (mandatory).

What We Offer

• Stable professional career: Working with Axians projects becomes an asset to those of us who want to offer stability through a secure career.
• Prospects for career advancement: You can access training and new certifications that will further elevate your skills. The 360° evaluation from managers and peers will also allow you to evolve.
• Work Life Balance: By collaborating with Axians, you will be able to reconcile work and family requirements without neglecting either area.
• Attractive, Evolving Compensation: When working with Axians, you will have access to performance bonuses in addition to an attractive salary pack (base salary + benefits). You are also entitled to health insurance and an employee assistance program for you and your family (Psychological, Legal, Psychosocial, and Financial support).

Axians is the VINCI Energies brand dedicated to Information Technology and Digital Transformation. With an international presence and a people-to-people approach, we combine technology, innovation, and proximity to create real impact for organizations and society.

At Axians, we believe that talent does not fit a single profile. We value diversity and promote an inclusive environment where everyone has the opportunity to grow and contribute. If you have a disability or impairment, we are committed to ensuring equal opportunities throughout the recruitment and onboarding process. Whenever needed, we provide reasonable accommodations so that you can participate on an equal basis. If you require any accommodation, please let us know by contacting us at [e-mail].