Lead AWS Cloud Engineer

Overview & Responsibilities

Work with a leading firm in the healthcare/regulated industry space as a Lead AWS Cloud Platform Engineer. The core objective of this role is to provide hands-on expertise in supporting a massive AWS footprint, focusing on security guardrails and infrastructure automation. You will be a key player in migrating workloads to EKS and building out new tech stacks that support corporate innovation and scalability.

You will

• Design, implement, and integrate cloud platform resources using an "Infrastructure as Code" (IaC) approach.
• Support the end-to-end lifecycle of services, from initial design and inception to deployment and ongoing operations.
• Collaborate with architecture teams to review proposed solutions, provide feedback, and execute implementation.
• Automate the patching, upgrades, and maintenance of the AWS ecosystem to improve system reliability and velocity.
• Troubleshoot complex stability, availability, and performance issues across enterprise platforms.
• Mentor peers and socialize technical solutions across various technology teams.

Required Qualifications

• Minimum of 10 years of total IT experience, with at least 5 years specifically in AWS Cloud Platform engineering and administration.
• At least 2 years of deep, hands-on experience with Amazon EKS (Kubernetes) in a production environment.
• Mandatory AWS Certification (e.g., Solutions Architect or DevOps Engineer).
• Strong proficiency in Terraform for infrastructure provisioning and Ansible for configuration management.
• Hands-on experience with Python (specifically Boto3 for Lambda functions) and Linux Bash scripting.
• Previous experience in Linux System Administration.
• Solid understanding of networking components: VPC, Direct Connect, NACLs, Security Groups, and Load Balancers (ELB/ALB).
• Proven experience in a Site Reliability Engineering (SRE) role or a platform operations environment.

Preferred Qualifications

• Experience working in a regulated industry (Healthcare, Finance, etc.) with knowledge of PHI/PII security controls.
• Exposure to AWS AI/ML services such as Bedrock and SageMaker.
• Familiarity with Service Mesh (Istio or AWS App Mesh) and Container Security tools (Twistlock, Sysdig, or Aqua).
• Experience with Java, Go, or Groovy development.