Principal Cloud Engineer

Role Summary

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.

Responsibilities

• 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.
• Required: AWS Core: EC2, VPC, S3, Lambda, RDS/Aurora, DynamoDB, EventBridge, EKS/ECS/Fargate, API Gateway, Control Tower, Identity Center, CloudWatch
• Required: Landing Zone & Governance: Secure Landing Zone, AWS Organizations, multi-account guardrails, SCPs
• Required: IaC & Automation: CloudFormation, AWS CDK, Terraform, Ansible; GitHub Actions, Jenkins, CodePipeline; Git, Python, Bash, PowerShell, Docker
• Required: DevOps & SDLC: Trunk-based development, automated testing, GitOps (ArgoCD, Flux), policy-as-code, artifact management
• Required: AI & Observability: Amazon Q, Claude, Datadog AI, AWS AI/ML services; AI-powered monitoring/automation, anomaly detection, predictive scaling, automated triage
• Required: Security & Compliance: IAM, KMS, Secrets Manager, GuardDuty, Security Hub, AWS WAF; alignment to GxP, HIPAA, GDPR, 21 CFR Part 11; Tenable/WizIO integrations
• Required: Monitoring & Mgmt: CloudWatch, ServiceNow, Datadog, Prometheus, Grafana, ELK; optional Splunk, SolarWinds, Dynatrace
• Required: Networking: VPC design, subnetting, NAT/Transit Gateway, VPN/Direct Connect, routing, load balancing
• Required: Containerization: Docker, Kubernetes (EKS), ECS, Fargate
• Required: 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.
• Preferred: Serverless & Containers – Deep experience with Lambda, API Gateway, ECS/EKS, service mesh, and secure API design.
• Preferred: CI/CD & Automation – Proven track record building robust pipelines and IaC for applications and infrastructure with CloudFormation/Terraform/CDK.
• Preferred: 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.
• Preferred: Security & Compliance – Strong grounding in IAM, encryption, network security, validated environments, and regulated-environment controls.
• Preferred: Monitoring & Governance – Comprehensive experience with CloudWatch and third-party monitoring tools (e.g., WizIO, ServiceNow) to ensure enterprise reliability.
• Preferred: Resilience & DR – Architecture patterns for high availability/disaster recovery on AWS; experience with chaos engineering and reliability testing.
• Preferred: Leadership & Mentorship – Demonstrated ability to mentor engineers and influence cross-functional teams, recognized SME in AWS cloud services.
• Preferred: Certifications – AWS Solutions Architect – Professional (preferred), AWS DevOps Engineer, Cloud Practitioner; security credentials (CISSP/CCSP) advantageous.