DevOps Engineer (Kubernetes, Docker)

About the Position

We are seeking a DevOps Engineer with expertise in Kubernetes and Docker to join our central AI team in Lisbon, Portugal. This role is pivotal in driving our enterprise-wide AI agenda, focusing on building and operating cloud-native infrastructure for AI solutions.

Responsibilities

• Build and operate cloud-native infrastructure for AI solutions, data pipelines, APIs, agents, and platform services, primarily on Azure with selective use of AWS.
• Create reusable infrastructure, deployment, observability, and environment patterns to help 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, and resilience.
• Collaborate with local IT teams to onboard environments, connect systems, troubleshoot deployments, and scale successful AI use cases.
• Continuously improve platform reliability, developer experience, cloud cost transparency, and operational maturity.

Requirements

• Strong experience with cloud-native development and deployment, preferably within Microsoft Azure, with practical exposure to AWS.
• Hands-on experience with Infrastructure as Code, CI/CD, containers, monitoring, logging, and operational support.
• Strong programming skills in Python and SQL; TypeScript knowledge will be valued.
• Experience developing or supporting APIs, data workflows, cloud services, and platform integrations.
• Good understanding of enterprise data engineering, including ETL/ELT, data pipelines, storage solutions, and integration patterns.
• Experience collaborating with cross-functional teams, international stakeholders, and local IT organizations.
• Confidence using GenAI development tools such as GitHub Copilot, Cursor, or OpenCode to accelerate software delivery.
• A pragmatic and results-oriented approach, with the ability to work autonomously in a rapidly evolving AI environment.
• Fluency in English.

Nice to Have

• Experience with Snowflake, Azure AI Foundry, Microsoft Agent Framework, LangChain, MCP, frontend development, developer portals, workflow builders, DevSecOps, Platform Engineering, or Site Reliability Engineering.

Location and Work Model

• Hybrid (2 days/week in the office, Lisboa)

What We Offer

• A project that matches your skills and ambitions, as well as your preferences for working policies and culture.
• A competitive salary with awesome benefits and opportunities to leverage your knowledge and network to earn additional income.
• An empowering and respectful work culture enriched with social and learning events.
• A People Experience Partner specially assigned to you - your go-to career guide, responsible for supporting your growth, facilitating training, and ensuring your work-life balance at KWAN.

About the Company

At KWAN, we connect IT professionals with projects that match their skills, professional experience, and goals. We offer a career progression program, delivered by in-house specialists - our People Experience Partners - to guide them through our journey with us.

What You Can Expect as a KWANer

• Respect isn’t optional here: You’re trusted to deliver and supported to speak up.
• Dedicated People Experience Partner: Someone accountable for your growth, not your allocation.
• Continuous learning, built in: Learning that keeps pace with the systems you build.
• Recognition that’s visible: Your impact doesn’t go unnoticed. Through our Rocket Points System, we constantly recognize your contributions.
• A culture you can feel: From movie and quiz nights to dinners and our annual summer gathering, we don’t just work together - we build real connections.
• Flexible spaces to work your way: Remote-first, with physical hubs when you want connection.

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