Remote Systems Engineer for Fintech Platform Reliability

Durlston Partners LLP

España

Remote

EUR 70,000 - 100,000

Full time

46 hours ago
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Job summary

Durlston Partners LLP is seeking a Systems Engineer to design, build and maintain the infrastructure behind its production platform. This hands-on role sits in a small engineering team, combining infrastructure work with enabling backend services written in Go.

You will improve performance, security and resilience as the platform scales, participate in on-call rotations and work across systems, networks and databases to keep services reliable and observable.

Qualifications

  • 5+ years of hands-on systems engineering/SRE experience.
  • Strong knowledge of operating systems, Kubernetes, and host-level networking.
  • Experience with infrastructure-as-code tools like Terraform.
  • Experience with logs, metrics and distributed tracing.
  • Focus on performance, security and production reliability.
  • Experience with relational databases would be beneficial.

Responsibilities

  • Designing and maintaining reliable production infrastructure.
  • Building and improving backend services using Go.
  • Improving monitoring, observability and incident response.
  • Automating infrastructure deployment and management.
  • Troubleshooting issues across applications, operating systems and networks.
  • Participating in an on-call rota and collaborating with the engineering team to improve reliability.

Skills

Systems engineering
Site reliability engineering
Kubernetes
Networking
Performance optimization

Tools

Terraform

Job description

Durlston Partners LLP is seeking a Systems Engineer to design, build and maintain the infrastructure behind its production platform. This hands-on role sits in a small engineering team, combining infrastructure work with enabling backend services written in Go.

You will improve performance, security and resilience as the platform scales, participate in on-call rotations and work across systems, networks and databases to keep services reliable and observable.

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