Canfield Scientific, Inc. logo

CI/CD DevOps Engineer

Canfield Scientific, Inc.

  • Parsippany-Troy Hills, NJ
  • 30+ days ago
  • Full-time
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Skills

  • Automationunmatched
  • Cloud Computingunmatched
  • Continuous Deployment/Deliveryunmatched
  • Continuous Integrationunmatched
  • DevOpsunmatched
  • Machine Toolunmatched
  • Problem Solving Skillsunmatched
  • Software Administrationunmatched
  • Software Developmentunmatched

Description

We are seeking a CI/CD DevOps Engineer to design, implement, and maintain continuous integration and continuous delivery pipelines that support modern software development practices. This role is critical in ensuring fast, reliable, and secure delivery of applications across environments. The ideal candidate has deep expertise in DevOps principles, automation, cloud infrastructure, and modern CI/CD tooling who possess strong problem-solving capabilities.

Job Responsibilities

Job Description:

  • Design, build, and optimize CI/CD pipelines for multiple applications and services
  • Automate build, test, and deployment processes to improve speed and reliability
  • Integrate automated testing, security scanning, and monitoring into pipelines
  • Implement and manage infrastructure as code (IaC) using tools such as Terraform, Ansible, or
  • CloudFormation for deployment on local infrastructure
  • Ensure scalability, resilience, and security of environments
  • Partner with developers, QA engineers, and system administrators to streamline delivery workflows
  • Provide guidance and support for troubleshooting pipeline issues and deployment failures.
  • Champion DevOps best practices across teams as well as track performance metrics and optimize processes for efficiency
  • Implement observability solutions for build and deployment pipelines
  • Stay current with emerging DevOps tools and practices to drive innovation

Numbers & Facts

LocationParsippany-Troy Hills, NJ
Job TypeFull-time
Websitehttps://www.canfieldsci.com/careers/

Qualifications

Core Requirements:

  • Bachelor’s degree in computer science, engineering, or related field, equivalent education and/or experience
  • 3+ years of experience in DevOps, build/release engineering, or software automation
  • Demonstrated experience with CI/CD tools for instance Jenkins, GitHub Actions, GitLab CI
  • Proficiency in scripting languages, such as Python, Bash, Groovy, etc.
  • Solid understanding of software development lifecycle (SDLC) and agile methodologies
  • Strong collaboration and communication skills, both verbal and written

Desired:

  • Familiarity with monitoring tools (Prometheus, Grafana)
  • Experience with local platforms (Apache, PHP, MSSQL)

Skills

  • DevOps
  • build/release engineering
  • Software Automation
  • GitHub
  • Jenkins
  • Python Programming/Scripting Language
  • BASH
  • Groovy Programming Language
  • Software Development Lifecycle (SDLC)
  • Agile Programming Methodologies

About Company

Canfield Scientific, Inc. is a core imaging lab providing custom photographic systems, image monitoring, and centralized analysis services for the pharmaceutical, biotechnology and cosmetics industries supporting global clinical trials providing primary endpoint data and supporting documentation. Canfield offers comprehensive benefits to its eligible full-time employees. These include paid days off, medical, dental, and vision insurance, may be eligible for a discretionary bonus, and a 401(k) plan with employer match (currently set at 50%). The anticipated salary range for the position is $90,000.00 - $110,000.00 annually. This is dependent upon consideration of multiple factors when determining a base salary such as a candidate’s experience, education, and current market conditions. If the role is eligible for full benefits, it will be discussed with you during the interview process. Canfield's imaging equipment leads the industry providing high-quality, registered, reproducible clinical images. This, together with proactive clinical image monitoring and a world class quality assurance regimen, sets the gold standard in image quality for clinical studies.

 

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