[Hiring] DevOps Engineer @Paradigm Information Services, Inc.

Role Description

This is a remote position. Paradigm is seeking an experienced Senior DevOps Engineer to design, build, and maintain the cloud infrastructure, automation, and deployment systems supporting high-volume, mission-critical enterprise applications. This hands-on engineering role focuses on improving system reliability, scalability, security, and performance through cloud infrastructure management, CI/CD automation, infrastructure-as-code, and advanced monitoring and observability.

The ideal candidate brings strong technical expertise, excellent troubleshooting skills, and a proactive approach to solving complex engineering challenges. Working closely with software development, QA, security, and business teams, this individual will help streamline software delivery, modernize infrastructure, and improve production operations.

Qualifications

• 5+ years of professional experience in DevOps, Site Reliability Engineering (SRE), platform engineering, cloud engineering, or a closely related discipline.
• 3+ years of experience designing, implementing, and maintaining CI/CD pipelines and automated deployment processes.
• 3+ years of hands-on experience deploying, operating, and troubleshooting applications in cloud environments, preferably Microsoft Azure.
• Experience with infrastructure-as-code and configuration management tools such as Terraform, Azure Bicep, ARM templates, or Ansible.
• Experience implementing monitoring and observability solutions, including logging, metrics, alerting, dashboards, and distributed tracing.
• Proficiency in scripting and automation using one or more languages such as Python, PowerShell, Bash, JavaScript, TypeScript, or Node.js.
• Experience supporting cloud, application, infrastructure, or database migrations.
• Working knowledge of SQL databases and database deployment or migration processes.
• Experience supporting high-volume, highly available, multi-tier enterprise applications.
• Understanding of cloud security principles, identity and access management, secrets management, and vulnerability remediation.
• Experience using AI-assisted engineering tools for troubleshooting, automation, development, or documentation.

Requirements

• Advanced experience with Microsoft Azure infrastructure, cloud services, and deployment automation.
• Experience with containerization and orchestration technologies, including Docker, Kubernetes, or Azure Kubernetes Service (AKS).
• Experience designing enterprise-scale CI/CD pipelines, deployment strategies, and release management processes.
• Advanced knowledge of observability platforms, distributed tracing, alert optimization, and service reliability practices.
• Experience leading complex cloud migrations, infrastructure modernization, or platform transformation initiatives.
• Experience developing reusable infrastructure modules, automation frameworks, or engineering standards.
• Familiarity with NoSQL databases, messaging platforms, or event-driven architectures.
• Experience using AI agents or AI-enabled automation to streamline engineering workflows.
• Advanced technical education, professional certifications, or equivalent specialized training.

Benefits

• Medical, dental, vision, life, 401(k), PTO, and sick leave.