Platform - DevOps Engineer

apartmentMorgan McKinley placeDublin calendar_month 

Our team is building resilient, secure, and scalable cloud platforms that support the next generation of digital financial applications. We're looking for a Platform Engineer with hands-on experience in AWS infrastructure and networks to help build and support our cloud-native environments.

In this role, you will work as a key contributor within our cloud platform team, focusing on automation, infrastructure as code, and secure delivery pipelines. You'll collaborate with engineering, security, and operations teams to deliver well-architected solutions aligned with industry best practices.

AWS

Cloud Architect

CyberSecurity
  • 5+ years of experience in software engineering, platform engineering, or site reliability engineering, including 3+ years of direct experience with AWS.
  • Proven experience designing production-grade cloud infrastructure in regulated environments.
  • Deep understanding of cloud security, networking, identity and access management, and governance within AWS.
  • Advanced knowledge of networking (firewalls, DNS, Load Balancing, Proxies, etc.)
  • Proficiency in a scripting or programming language (e.g., Python, Go, Shell).
  • Experience with continuous integration/delivery pipelines and GitOps workflows.
  • Excellent communication skills and a collaborative mindset.
  • Experience with multi-account cloud architecture, landing zones, or control tower setups.
  • Familiarity with zero-trust architecture, data encryption, and key management systems (KMS).
  • Strong proficiency with using Infrastructure as Code tools such as Terraform to build cloud infrastructure solutions and automating cloud deployments.
  • Prior experience in financial services, fintech, or other regulated industries.
  • Hands-on experience with containerization (Docker) and orchestration platforms (e.g., EKS/Kubernetes).
  • Experience with monitoring tools such as Grafana, Prometheus, Splunk, or Dynatrace, as well as AWS native tools
  • Experience optimizing cost and performance across large-scale cloud environments.
  • Contributions to open-source projects or active participation in cloud engineering communities.
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