Tech Lead, Data Mesh and AI Platforms team
Teknik, data och digitalt · IT-infrastruktur och säkerhet · DevOps · Molnteknik · Maskininlärning
I korthet
As a Tech Lead for the Data Mesh and AI Platforms team at Nordea, you will drive the technical vision and hands-on execution for cloud-native data and AI platform capabilities. You will lead engineering direction, design secure foundations across AWS, GCP, and Azure, and coach engineers to foster a strong platform engineering culture. This is a full-time permanent hybrid position located in Poland, Denmark, or Finland.
Ansvarsområden
- Set engineering direction for AI platform capabilities, ensuring architectural integrity, scalability, and resilience.
- Lead hands-on engineering work across cloud infrastructure, platform automation, CI/CD, provisioning, and reusable infrastructure-as-code patterns.
- Design and mature secure platform foundations across AWS, GCP, and Azure, including identity integration, access patterns, network/security controls, and observability.
- Drive pragmatic adoption of AI platform services like AWS Bedrock, AgentCore, Google Gemini, and Azure AI Foundry.
- Coach engineers, foster engineering best practices, and build a strong platform engineering culture.
- Collaborate with product owners, data scientists, architects, cybersecurity, and governance teams.
- Own and communicate the technical roadmap, balancing speed, scalability, cost, compliance, and operational reliability.
- Translate technical complexity into clear recommendations and status updates for stakeholders.
Krav
- Proven experience designing and building production-grade platform capabilities across AWS, GCP, or Azure.
- Highly comfortable with Terraform, automation, CI/CD, and modern DevOps practices.
- Expert-level knowledge of infrastructure, provisioning, identity provider integration, IAM, access control, and platform security patterns.
- Ability to combine deep technical expertise with the ability to guide, challenge, and inspire other engineers.
- Genuine interest in AI platforms, generative AI, and agentic workflows, with knowledge of pragmatic and safe adoption.
- BSc, MSc, or PhD in Computer Science, Engineering, Data Science, Information Security, or equivalent practical experience.
- 10+ years of experience in cloud, infrastructure, platform engineering, DevOps, or similar technical leadership roles.
- Documented experience leading engineers and setting technical direction in complex technology environments.
- Expert-level knowledge of infrastructure, provisioning, automation, and Infrastructure as Code, with Terraform as an essential skill.
- Experience with AI platform services and ecosystems such as AWS Bedrock/AgentCore, Google Gemini, or Azure AI Foundry.
- Strong understanding of IdP integration, IAM, federation, secrets management, and secure access patterns in enterprise environments.
- Experience building production-grade CI/CD pipelines, observability, and operational controls for platforms.
- Ability to evaluate trade-offs between speed, cost, scalability, resilience, and compliance.
- Strong communication skills, including the ability to prepare and drive presentations, explain platform decisions, and act as a subject matter expert for Cloud AI Platforms.
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