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DevOps Specialist

Job in Berrytown, Jefferson County, Kentucky, USA
Listing for: Creative Realities Inc
Full Time position
Listed on 2026-06-26
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, SRE/Site Reliability, Cybersecurity, Systems Engineer
Salary/Wage Range or Industry Benchmark: 59000 - 73000 USD Yearly USD 59000.00 73000.00 YEAR
Job Description & How to Apply Below
Location: Berrytown

Salary Range: $59,000.00 To $73,000.00 Annually

Role Overview

We are looking for an experienced Dev Ops Engineer to design, build, and scale our infrastructure and deployment systems. You will play a critical role in automating processes, improving system reliability, and enabling rapid, secure delivery of our backend services.

This role requires a strong foundation in cloud infrastructure, containerization, CI/CD, and modern Dev Ops practices, along with a proactive mindset toward system reliability, observability, and security.

Key Responsibilities
  • Design, implement, and maintain scalable, highly available backend infrastructure
  • Build and manage CI/CD pipelines to support rapid and reliable software delivery
  • Automate infrastructure provisioning using Infrastructure as Code (IaC) tools
  • Deploy, manage, and monitor containerized applications using Docker (and orchestration tools if applicable)
  • Manage multi-cloud infrastructure across AWS and Azure environments
  • Implement and maintain configuration management using Ansible
  • Improve system observability through logging, monitoring, and alerting solutions
  • Ensure high system uptime, performance, and scalability through proactive optimization
  • Collaborate with development teams to improve build, test, and deployment workflows
  • Enforce and implement security best practices across infrastructure and application layers
  • Participate in incident response, root cause analysis, and postmortems
  • Maintain documentation for infrastructure, processes, and runbooks
Required Qualifications
  • Proven experience with Node.js in production systems
  • Hands‑on experience with Docker and containerized application deployment
  • Experience with cloud platforms, particularly AWS and Azure
  • Experience with Ansible or similar configuration management tools
  • Solid understanding of backend server infrastructure and distributed systems
  • Experience deploying and maintaining production‑grade systems
  • Knowledge of networking fundamentals (DNS, TCP/IP, load balancing, firewalls)
  • Familiarity with Linux‑based systems and command‑line environments
  • Understanding of version control systems (e.g., Git) and branching strategies
Preferred Skills
  • Experience with Infrastructure as Code tools (e.g., Terraform, Cloud Formation, Pulumi)
  • Familiarity with container orchestration platforms (e.g., Kubernetes, ECS)
  • Experience implementing CI/CD pipelines (e.g., Git Hub Actions, Git Lab CI, Jenkins)
  • Strong understanding of monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack, Datadog)
  • Experience with secrets management and secure configuration (e.g., Vault, AWS Secrets Manager)
  • Experience with autoscaling, high availability, and disaster recovery strategies
  • Familiarity with API gateways, reverse proxies, and load balancers (e.g., NGINX, HAProxy)
  • Experience with artifact repositories and package management
Security & Compliance Expectations
  • Strong understanding of secure software development lifecycle (SDLC) practices
  • Experience implementing identity and access management (IAM) policies
  • Familiarity with vulnerability scanning, patch management, and dependency security
  • Knowledge of encryption standards (TLS, data‑at‑rest encryption)
  • Awareness of compliance frameworks (e.g., SOC 2, ISO 27001, GDPR)
  • Experience with security monitoring, logging, and incident response
Nice-to-Have Skills
  • Experience working with IoT devices (e.g., System on Chip, Bright Sign players, Android‑based devices)
  • Familiarity with edge computing and remote device management
  • Experience supporting distributed device fleets at scale
  • Knowledge of both Linux and Windows operating systems in production environments
  • Experience with message queues or streaming platforms (e.g., Kafka, RabbitMQ)
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