Principal Cloud Engineer

Abb Vie'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 Abb Vie, please visit us at  Follow @abbvie on X, Facebook, Instagram, You Tube, Linked In and Tik Tok.

Join an inclusive, collaborative Business Technology team as a Principal AWS Engineer in Abb Vie 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 Abb Vie’s digital transformation.

• 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 Cloud Formation, AWS CDK, Terraform, and Ansible to deliver reliable, repeatable deployments at scale.
• Design, implement, and manage CI/CD pipelines (Jenkins, Git Hub Actions, Code Pipeline) for application and infrastructure delivery, integrating automated testing, security scanning, and policy checks.
• Implement Dev Ops best practices using AWS Cloud Formation, Git Hub, and Docker, codifying environments and promotion workflows across environments.
• Deploy and operate containerized and serverless workloads (EKS/ECS/Fargate, Lambda/Step Functions, Event Bridge), 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 Cloud Watch, 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 Abb Vie 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.

• 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, Dynamo
  
  DB, Event Bridge, EKS/ECS/Fargate, API Gateway, Control Tower, Identity Center, Cloud Watch
• Landing Zone & Governance:
  Secure Landing Zone, AWS Organizations, multi‑account guardrails, SCPs
• IaC & Automation:
  Cloud Formation, AWS CDK, Terraform, Ansible;
  Git Hub Actions, Jenkins, Code Pipeline;
  Git, Python, Bash, Power Shell, Docker
• Dev Ops & SDLC:
  Trunk‑based development, automated testing, Git Ops (ArgoCD, Flux), policy‑as‑code, artifact management
• AI &…