Principal Cloud Engineer

About the role

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. 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

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