This role pays less than
82%
of similar roles. Most pay
$170,000–$233,500
— the shaded band above.
At the midpoint, this role pays about
$159k
versus about
$202k
for comparable roles.
Based on 240 similar postings.
Employer
About AbbVie
AbbVie is a global biopharmaceutical company focused on discovering and delivering innovative medicines and solutions in immunology, oncology, neuroscience, and eye care. Its products include Humira, Skyrizi, and Rinvoq.
AbbVie currently has
297 open roles
on FindRole.
Listed pay typically runs
$109,500–$208,500
across 271 roles with salary data.
Principal Engineer, Quality Assurance, Dev-Ops serves as a techno-functional expert within the Business Technology Services organization, ensuring IT operations and software lifecycle processes comply with regulatory requirements and corporate standards. This individual will lead the transformation of traditional quality assurance by implementing automation frameworks, optimizing CI/CD pipelines, and integrating AI-driven solutions to enhance compliance monitoring and operational efficiency. The role involves managing technology lifecycle process monitoring, overseeing incident management, and coordinating root cause analyses for quality events. Key responsibilities include developing automated validation tools, managing regulatory audits, and providing expert mentorship on Computer Software Assurance and DevOps best practices. The candidate will utilize a technical stack including Jira, Confluence, qTest, Jenkins, GitLab, AWS, and Azure DevOps to solve complex compliance challenges within the life sciences industry while streamlining software lifecycle procedures through advanced automation.
Experience supporting regulatory audits and compliance for agencies such as the FDA.
Strong skills in analytics, project management, process improvement, and cross-functional collaboration.
Ability to coach teams on policy, SLC execution, and regulatory requirements.
Knowledge of Computer Software Assurance (CSA), digital transformation in quality, and contemporary validation practices.
Professional certifications like ASQ CQA, PMP, or Six Sigma (preferred); experience in life sciences (preferred); and supervisory experience (preferred).
Python
PyTorch
JAX
C
C++
C#
Foundation Models
GPU Clusters
Fine-tuning
Instruction Tuning
reinforcement-learning
Mixed Precision
Model Evaluation
Tokenization
Machine Learning Systems
Experiment Tracking