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DevOps Engineer

Jobgether

full-remoteseniorpermanentdevopsbackend United States 62 days ago via LinkedIn

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Tags

DevOpsCI/CDKubernetesDockerPostgreSQLRedisApache KafkaRabbitMQObservabilityInfrastructure Modernization

About the role

Role Overview

DevOps Engineer responsible for building and maintaining reliable, scalable infrastructure in a fully remote, international engineering environment. You’ll modernize systems, improve platform stability, and strengthen the security-focused ecosystem, combining infrastructure work with backend development and automation.

Responsibilities

  • Design, build, and maintain backend infrastructure and services
  • Develop and enhance product features end-to-end (design → implementation → testing → deployment)
  • Investigate and resolve complex technical issues by analyzing code, systems, and production environments
  • Operate and maintain large-scale server infrastructure (e.g., API gateways, load balancers, internal processing)
  • Improve and maintain CI/CD pipelines for efficient, automated, reliable delivery
  • Create and maintain unit and integration tests to ensure quality and stability
  • Monitor production performance, identify issues/opportunities, and proactively improve reliability
  • Collaborate with engineering teams to improve architecture, direction, and maintainability
  • Support infrastructure modernization by reducing technical debt and simplifying processes

Requirements

  • 5+ years of professional experience in backend development, DevOps, or related roles
  • Strong proficiency in at least one high-level programming language
  • Deep experience designing/operating backend services with scalability, performance, concurrency, and reliability in mind
  • Hands-on experience with high-throughput data pipelines (e.g., Apache Kafka, ClickHouse, RabbitMQ)
  • Experience with SQL (PostgreSQL) and in-memory databases (Redis)
  • Strong understanding of relational databases, NoSQL systems, and key-value storage
  • Practical experience with Docker and Docker Compose
  • Hands-on experience with Kubernetes and container orchestration
  • Experience with monitoring and observability
  • Strong CI/CD practices and automated testing/deployment
  • Excellent debugging and analytical skills; ability to identify root causes
  • Data-driven mindset using metrics and user feedback
  • Strong communication/collaboration in distributed teams
  • Upper-intermediate written and spoken English

Nice to Haves

  • Experience with Django
  • Familiarity with configuration management tools (Puppet, Ansible, Salt, or similar)

Work Model

  • Fully remote with flexible working hours (English required; location listed as United States)

Scraped 7/23/2026