Senior DevOps Engineer: Cloud, Kubernetes & Fintech

Remote Jobs

United States

Remote

USD 140,000 - 190,000

Full time

11 days ago
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Benefits offered by this job

100% Remote
USD pay
Paid time off
Autonomy at work
Work with American companies

Job summary

Truelogic is seeking a highly skilled Senior DevOps / Platform Engineer to lead the scaling and evolution of a rapidly growing financial technology platform. In this pivotal role, you will design and operate robust cloud infrastructure, enhance system reliability for sensitive financial workloads, and drive the maturation of deployment tooling and observability.

The ideal candidate is a proactive infrastructure expert with a strong foundation in cloud architecture, containerization, and data

Qualifications

  • 6+ years in DevOps, SRE, Platform Engineering, or Infra Engineering.
  • Hands-on AWS experience and Kubernetes clustering at scale.
  • Infrastructure as code with Terraform or similar.
  • Strong PostgreSQL performance tuning and backups.
  • Secure handling of fintech data in regulated environments.

Responsibilities

  • Own and evolve AWS cloud infrastructure and Kubernetes clusters.
  • Improve reliability, availability, and performance as workloads grow.
  • Build and maintain IaC, CI/CD pipelines, and observability tooling.
  • Collaborate with backend and data teams on PostgreSQL performance and backups.
  • Strengthen infrastructure security and access controls.

Skills

Cloud architecture
Kubernetes administration
PostgreSQL performance
Infrastructure as code
Security best practices
Python basics

Tools

AWS
Terraform
CI/CD pipelines
Observability tooling
SOC 2 familiarity
Python

Job description

Truelogic is seeking a highly skilled Senior DevOps / Platform Engineer to lead the scaling and evolution of a rapidly growing financial technology platform. In this pivotal role, you will design and operate robust cloud infrastructure, enhance system reliability for sensitive financial workloads, and drive the maturation of deployment tooling and observability.

The ideal candidate is a proactive infrastructure expert with a strong foundation in cloud architecture, containerization, and data

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