Manager, Cloud Infrastructure & DevOps

thales; Amersfoort; On-site; EUR 150,000 - 210,000; Full time

Job summary

Thales is seeking an experienced Cloud/DevOps leader to drive IAM cloud services across AWS and GCP. You will lead a team delivering secure, scalable infrastructure and advancing DevOps, SRE, and AIOps practices with a strong emphasis on reliability and cost efficiency.

You will own end-to-end cloud operations, guide modernization with container orchestration, and partner with global engineering teams to set standards and roadmaps for long-term cloud strategy.

Qualifications

• Proven leadership of technical teams with coaching and delivery accountability.
• 5+ years deploying and supporting large-scale cloud applications in production.
• 5+ years with infrastructure automation and DevOps tooling (Terraform, Helm/Ansible, GitLab pipelines, Python).
• Deep production experience with Kubernetes (K8s/OpenShift).
• Experience operating systems at scale in AWS and/or GCP; strong security practices.
• Excellent communication in a geographically distributed environment.

Responsibilities

• Lead, coach, and grow a Cloud/DevOps engineering team with HR processes.
• Own end-to-end IAM cloud platform operations across AWS and GCP.
• Drive CI/CD, IaC, and automation frameworks; govern Terraform, Helm, Ansible and GitLab CI/CD.
• Implement observability, SRE practices (SLIs/SLOs, incident reviews).
• Advance AI/ML workloads and AIOps for proactive reliability and cost optimization.
• Collaborate with R&D, Security, Customer Success, and Service Desk to meet SLAs.

Skills

People leadership

Communication

Cloud/DevOps concepts

SRE practices

Security awareness

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Terraform

Helm

Ansible

GitLab CI/CD

Python

Kubernetes

OpenShift

Job description

Location: Amersfoort CDI, Netherlands

Position Summary

Thales delivers cloud-based authentication and identity services to high-profile customers who depend on uncompromising security and availability. We are expanding our leadership team to scale and continuously improve IAM services for North American customers. You will lead a team responsible for cloud infrastructure, automation, and service reliability. You will advance DevOps, SRE, and AIOps practices to deliver secure, scalable services across AWS/GCP, partnering closely with Engineering, Security, Service Desk, and customer-facing teams.

Key Responsibilities & Leadership Impact

Leadership & Team Management

Lead, coach, and grow a team of Cloud/DevOps engineers; drive hiring, onboarding, performance management, and career development.

Set and track OKRs, manage priorities, and align execution with IAM Services objectives.

Build a culture of ownership and operational excellence, partnering with global engineering leaders on standards and the long-term cloud roadmap.

Cloud Infrastructure Ownership

Own end-to-end operations of the IAM cloud platform across AWS and GCP, ensuring resilience, scalability, performance, and security.

Drive modernization with cloud-native architectures, container orchestration, platform engineering, and zero-trust principles.

Lead roadmap planning, capacity management, and cost/efficiency optimization to meet growth and SLA commitments.

DevOps, Automation & Platform Engineering

Lead the design and governance of CI/CD, Infrastructure as Code (IaC), and automation frameworks that enable safe, repeatable change.

Own implementation and lifecycle of tooling such as Terraform, Helm, Ansible, and GitLab CI/CD.

Enforce secure engineering standards and reusable patterns through reviews, automation, and continuous improvement.

Establish best practices for observability, incident response, and SRE (SLIs/SLOs, error budgets, post-incident reviews).

AI, AIOps & Intelligent Operations

Lead adoption of AIOps to improve MTTR and reliability through anomaly detection, noise reduction, predictive capacity planning, and automated remediation.

Partner with architects to support AI workloads and enable LLM-assisted operations (runbooks, incident summaries, knowledge search) with secure data access and scalable infrastructure.

Champion responsible AI with clear governance, auditability, and secure-by-design practices aligned to Thales and customer requirements.

Operational Excellence

Ensure 24/7 availability of critical IAM services through strong L2/L3 support, operational readiness, and measurable outcomes.

Own on-call and escalation frameworks; continuously improve reliability, change management, and release safety.

Lead incident management end-to-end: coordination, stakeholder communication, root cause analysis, and systemic corrective actions.

Cross-Functional & Customer Engagement

Collaborate with R&D, Security, Customer Success, Sales Engineering, and Service Desk to deliver reliable outcomes for customers and complex deployments.

Join customer engagements as needed (architecture reviews, escalations) to represent Operations leadership and reinforce customer trust.

Represent Cloud Operations in strategic planning, audits, risk management, and executive communications.

Minimum Qualifications

• People leadership experience managing and developing technical teams (coaching, feedback, delivery accountability).
• 5+ years deploying and supporting large-scale cloud applications in production.
• 5+ years with infrastructure automation and DevOps tooling including Terraform, Helm/Ansible, GitLab pipelines, and Python.
• Deep expertise with Kubernetes (e.g., K8s, OpenShift) in production.
• Strong understanding of change management, SLA/uptime commitments, operational playbooks, and escalation workflows.
• Experience operating production systems at scale in AWS and/or GCP.
• Strong knowledge of distributed systems (REST APIs, microservices) and data stores (relational/NoSQL).
• Strong Linux/Windows fundamentals and solid understanding of cloud security best practices.
• Excellent communication and ability to lead in a geographically distributed environment.

Preferred Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• Experience with AIOps, observability, and SRE and/or platform engineering practices.

Interested?

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