DevOps Engineer
Jobgether
full-remoteseniorpermanentdevopsbackend United States 62 days ago via LinkedIn
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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