Senior Engineering Manager

New
V
VonageCloud communications
Work from Home - SpainFull-TimeManager
Salary not disclosed
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Job Details

Required Skills
AWSJavaKafkaKubernetesCI/CDRESTful APIsMicroservicesSaaS

Requirements

  • Demonstrable experience in a senior architecture role spanning multiple teams, products, or shared platforms.
  • Experience using architectural practice to deliver measurable business value and reduce unnecessary costs.
  • Deep expertise in cloud-native and distributed systems architectures on AWS.
  • Strong Java experience.
  • Experience with SaaS, API-based, and developer-facing platforms.
  • Proficiency in microservices, Kubernetes, event-driven architectures with Kafka, CI/CD, DevSecOps, and Infrastructure as Code.
  • Ability to apply capability mapping, ADRs, and C4 diagrams in practical, proportionate ways.
  • Strong communication and influencing skills to align stakeholders and drive decisions without formal authority.
  • Experience balancing architectural consistency with team autonomy in agile engineering organisations.
  • Network APIs, AWS or Kubernetes certifications, and Agile methodology experience are listed as advantages.

Responsibilities

  • Define and evolve architecture strategy, reference models, and target states across Network Power Solutions.
  • Shape technology direction through standardisation, simplification, and platform investments.
  • Coordinate cross-domain architectural initiatives involving resilience, security, compliance, observability, and developer experience.
  • Champion architecture practices and governance, including ADRs and Well-Architected practices.
  • Partner with engineering and product leaders to translate business needs into scalable solutions.
  • Provide hands-on support for complex architectural challenges.
  • Communicate architectural vision and decisions to technical and business stakeholders.
  • Mentor engineers and architects and contribute to internal communities and best practices.
  • Use AI tools across design, coding, testing, troubleshooting, and documentation, and guide effective AI-enabled engineering practices.
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