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DevOps Engineer

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Rapyd

Rapyd helps businesses accept payments and send payouts globally by providing fintech infrastructure that integrates multiple payment methods and currencies.

Series F+0 current maintainers0 active leadsTeam intelligence

Maintainer signals as of 8/10/2026

London, United Kingdom

Funding history

About Rapyd

Rapyd helps businesses accept payments and send payouts across countries by providing fintech-as-a-service infrastructure through APIs. Users can process payments in multiple currencies, manage multi-currency accounts, and disburse funds internationally. The platform integrates card acquiring, alternative payment methods, and compliance tools into a single solution for cross-border commerce.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will design, automate, and scale cloud infrastructure. You will write Terraform and Python, deploy and optimize Kubernetes microservices, build CI/CD pipelines, configure AWS networking and security controls, improve observability and costs, and investigate production issues.

Requirements

  • Bachelor’s degree in a related technical field or equivalent practical experience.
  • 3–5 years of DevOps, SRE, or Infrastructure Engineering experience.
  • Production public-cloud experience, primarily with AWS.
  • Terraform and Python expertise.
  • Cloud networking, VPC routing, and security framework knowledge.
  • Kubernetes, EKS, ECS, Docker, and CI/CD tool experience.
  • English communication skills.

Responsibilities

  • Automate cloud infrastructure and operational processes with Terraform and Python.
  • Deploy, scale, and optimize Kubernetes microservices.
  • Design and maintain CI/CD pipelines.
  • Configure multi-account AWS architectures, VPCs, routing, and security controls.
  • Monitor performance and optimize cloud costs.
  • Ensure deployments comply with SOC 2 and PCI-DSS requirements.
  • Build reusable Infrastructure as Code modules for production.
  • Monitor system health and perform root-cause analysis.