Principal Cloud Engineer
Company Description
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at . Follow @abbvie on X , Facebook , Instagram , YouTube , LinkedIn and Tik Tok .
Job Description
Join an inclusive, collaborative Business Technology team as a Principal AWS Engineer in AbbVie BTS. In this hands-on role, you will architect, build, and optimize enterprise-scale AWS solutions, directly implementing cloud-native architectures, automation, and AI-driven enhancements in a global, highly regulated environment. You’ll lead by example—delivering robust, secure, and scalable AWS platforms—while also serving as a technical mentor and strategic leader to accelerate AbbVie’s digital transformation.
In this role you’ll be responsible for:
Design and implement complex, secure cloud solutions that meet business needs and align with enterprise and functional architecture, while documenting technical decisions for clarity and reuse.
Lead development of AWS-based applications using Lambda, API Gateway, and ECS, and prototype scalable APIs with a focus on integration, security, reliability, and observability.
Build and automate infrastructure as code (IaC) with CloudFormation, AWS CDK, Terraform, and Ansible to deliver reliable, repeatable deployments at scale.
Design, implement, and manage CI/CD pipelines (Jenkins, GitHub Actions, CodePipeline) for application and infrastructure delivery, integrating automated testing, security scanning, and policy checks.
Implement DevOps best practices using AWS CloudFormation, GitHub, and Docker, codifying environments and promotion workflows across environments.
Deploy and operate containerized and serverless workloads (EKS/ECS/Fargate, Lambda/Step Functions, EventBridge), selecting optimal compute strategies for microservices, batch, and event-driven architectures.
Integrate and leverage AI tools (Amazon Q, Claude, Datadog AI, AWS AI/ML services) to automate operational tasks, enhance monitoring, enable predictive scaling, and streamline incident response.
Develop and maintain AI-driven runbooks and workflows for anomaly detection, automated remediation, and continuous improvement of cloud operations; use AI-powered solutions to identify process improvement opportunities and automate repetitive tasks.
Monitor, troubleshoot, and optimize performance, reliability, and cost using CloudWatch, Datadog, Prometheus, Grafana, ELK, and AI-driven observability platforms.
Identify, design, and implement internal process improvements by automating manual processes, optimizing data delivery, and re-designing infrastructure for scalability and efficiency.
Implement and enforce robust security and compliance (IAM, KMS, Secrets Manager, security groups, encryption in transit/at rest) aligned to GxP, HIPAA, GDPR, and AbbVie policies; collaborate with security architecture to ensure corporate requirements are met.
Mentor engineers and collaborate with cross-disciplinary teams (Security, Data, Network, Application, UX), champion the AWS Well-Architected Framework, guide incident/problem management, oversee cost management and financial governance, and build strategic relationships to advance technology initiatives.
Qualifications
Required:
- Bachelor's Degree with 8 years experience; Master's Degree with 7 years experience; PhD with 3 years experience. Experience in application program development.
AWS Core: EC2, VPC, S3, Lambda, RDS/Aurora, DynamoDB, EventBridge, EKS/ECS/Fargate, API Gateway, Control Tower, Identity Center, CloudWatch
Landing Zone & Governance: Secure Landing Zone, AWS Organizations, multi-account guardrails, SCPs
IaC & Automation: CloudFormation, AWS CDK, Terraform, Ansible; GitHub Actions, Jenkins, CodePipeline; Git, Python, Bash, PowerShell, Docker
DevOps & SDLC: Trunk-based development, automated testing, GitOps (ArgoCD, Flux), policy-as-code, artifact management
AI & Observability: Amazon Q, Claude, Datadog AI, AWS AI/ML services; AI-powered monitoring/automation, anomaly detection, predictive scaling, automated triage
Security & Compliance: IAM, KMS, Secrets Manager, GuardDuty, Security Hub, AWS WAF; alignment to GxP, HIPAA, GDPR, 21 CFR Part 11; Tenable/WizIO integrations
Monitoring & Mgmt: CloudWatch, ServiceNow, Datadog, Prometheus, Grafana, ELK; optional Splunk, SolarWinds, Dynatrace
Networking: VPC design, subnetting, NAT/Transit Gateway, VPN/Direct Connect, routing, load balancing
Containerization: Docker, Kubernetes (EKS), ECS, Fargate
Communication & Leadership: Clear written/verbal communication for technical and non-technical audiences; effective cross-functional collaboration
Preferred:
Hands-on AWS Engineering – 8+ years designing, building, and operating large-scale AWS platforms (multi-cloud experience with Azure/GCP is a plus); pharma/regulatory experience preferred.
Serverless & Containers – Deep experience with Lambda, API Gateway, ECS/EKS, service mesh, and secure API design.
CI/CD & Automation – Proven track record building robust pipelines and IaC for applications and infrastructure with CloudFormation/Terraform/CDK.
AI Tools & Integration – Demonstrated experience using and integrating AI/ML tools (Amazon Q, Claude, Datadog AI, AWS AI/ML services) into DevOps, monitoring, and automation workflows for process improvement and operational efficiency.
Security & Compliance – Strong grounding in IAM, encryption, network security, validated environments, and regulated-environment controls.
Monitoring & Governance – Comprehensive experience with CloudWatch and third-party monitoring tools (e.g., WizIO, ServiceNow) to ensure enterprise reliability.
Resilience & DR – Architecture patterns for high availability/disaster recovery on AWS; experience with chaos engineering and reliability testing.
Leadership & Mentorship – Demonstrated ability to mentor engineers and influence cross-functional teams, recognized SME in AWS cloud services.
Certifications – AWS Solutions Architect – Professional (preferred), AWS DevOps Engineer, Cloud Practitioner; security credentials (CISSP/CCSP) advantageous.
Additional Information
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this postingbased on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately paymore or less than the posted range. This range may be modified in the future.
We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
This job is eligible to participate in our short-term incentive programs.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission,incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and untilpaid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
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