DevOps Engineer

DevOps Engineer

Posted 1 day ago by Response Informatics

Negotiable
Undetermined
Undetermined
Belfast (BT1)

Summary: The DevOps Engineer role requires a hands-on engineer with expertise in Java or Golang, focusing on delivering distributed, cloud-native systems. The position emphasizes deep knowledge of Kubernetes and AWS services, along with experience in service modernization and streaming platforms. The ideal candidate will also have a solid background in Infrastructure as Code and an understanding of system failure modes and data durability.

Key Responsibilities:

  • Deliver distributed, cloud-native systems.
  • Utilize Kubernetes, especially for stateful applications.
  • Implement and manage AWS services (EKS, EBS, IAM, VPC).
  • Modernize services using Go or Java.
  • Work with Kafka or similar distributed/streaming platforms.
  • Utilize Helm, Operators, and Infrastructure as Code (Terraform preferred).
  • Understand failure modes, scaling, and data durability.

Key Skills:

  • Hands-on experience with Java or Golang.
  • Expertise in Kubernetes.
  • Strong experience with AWS services.
  • Background in Go or Java services.
  • Experience with Kafka or similar platforms.
  • Knowledge of Helm, Operators, and Terraform.
  • Understanding of failure modes and data durability.

Salary (Rate): undetermined

City: Belfast

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Required Experience

  • Need Hands on experience with Java/Golang is must
  • Hands-on engineer delivering distributed, cloud-native systems
  • Deep expertise in Kubernetes, especially stateful applications
  • Strong hands-on experience with AWS (EKS, EBS, IAM, VPC)
  • Solid background in Go or Java services and service modernization
  • Experience with Kafka or similar distributed/streaming platforms
  • Solid background with Helm, Operators, and Infrastructure as Code (Terraform preferred)
  • Strong understanding of failure modes, scaling, and data durability