Senior DevOps Engineer II – Platform & Full Stack Engineering

AbbVie•North Chicago, IL
•$109,500 - $208,500

About The Position

The Senior DevOps Engineer II is a technical contributor responsible for designing, engineering, and continuously optimizing software delivery pipelines and full-stack applications in support of modern, scalable, and compliant development environments. The role combines CI/CD pipeline engineering, application development, and platform integration to enable efficient, automated, and governed software delivery. A key focus is integrating agentic, AI-supported development capabilities into the software lifecycle while ensuring reproducibility, traceability, and compliance by design. The position implements end-to-end technical solutions across application and platform layers and improves engineering practices, tooling, and delivery standards in alignment with enterprise IT and regulatory requirements. AbbVie works to discover and deliver innovative medicines and solutions for serious health issues and medical challenges, with work across immunology, oncology, neuroscience, and Allergan Aesthetics.

Requirements

  • Bachelor’s degree in computer science with 7 years of experience; master’s degree in computer science with 6 years of experience; or Ph.D. with 2 years of experience.
  • Experience working with AI-assisted software development tools such as GitHub Copilot, Claude Code, or OpenAI, and a strong understanding of emerging agentic development workflows.
  • Experience with CI/CD pipelines in cloud or hybrid environments.
  • Strong backend programming skills and familiarity with frontend frameworks.
  • Experience with DevOps toolchains and Git-based workflows.
  • Experience deploying and supporting containerized applications using Docker and Kubernetes.
  • Understanding of SDLC practices, documentation, traceability, and validation requirements in regulated environments.
  • Ability to learn and apply new technologies.
  • Strong communication and collaboration skills.
  • Structured and detail-oriented working style.

Nice To Haves

  • Experience with cloud-native development and deployment on AWS or Azure.
  • Experience with infrastructure as code tools such as Terraform or CloudFormation.
  • Familiarity with DevSecOps practices, including vulnerability scanning, secrets management, and secure coding standards.
  • Experience developing REST APIs, microservices, and modern web applications using .NET, Python, React, or similar technologies.
  • Experience with observability and monitoring platforms such as Datadog, Grafana, Splunk, OpenTelemetry, or similar tools.
  • Relevant technical certifications in DevOps, cloud, Kubernetes, infrastructure as code, or DevSecOps, such as AWS Certified DevOps Engineer, Microsoft Certified: DevOps Engineer Expert, CKA/CKAD/CKS, HashiCorp Terraform Associate, or GitHub Actions certification.
  • Experience in the pharmaceutical industry.

Responsibilities

  • Design, implement, and operate robust CI/CD pipelines and automated workflows for reliable and repeatable software build, integration, testing, and deployment.
  • Develop backend services and frontend components to engineer full-stack solutions.
  • Develop and maintain scalable, modular, and testable code using appropriate testing practices.
  • Integrate and standardize SDLC toolchains, including version control, build automation, artifact management, and security scanning.
  • Monitor, analyze, and optimize pipeline and application performance using observability capabilities.
  • Embed and enforce security, compliance, and quality controls aligned with enterprise and regulatory requirements.
  • Contribute to architecture and technical design decisions.
  • Apply DevOps and platform engineering practices, including containerization and infrastructure as code.
  • Evaluate and adopt emerging technologies, including AI-assisted development.
  • Drive continuous improvement of development processes, tools, and standards.
  • Produce and maintain technical documentation.
  • Collaborate with cross-functional and global teams.
  • Support governance, traceability, and validation practices for AI-assisted software development in a regulated environment.

Benefits

  • Paid time off, including vacation, holidays, and sick leave.
  • Medical, dental, and vision insurance for eligible employees.
  • 401(k) for eligible employees.
  • Eligibility to participate in long-term incentive programs.
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