AWS Cloud Engineer

Pay Rate: $50 - $56/Hour

Hybrid role - 3 days onsite

Position based in either Philadelphia, PA, or Washington, DC

Overview:

AWS Cloud Engineer to build and deploy highly scalable, reliable, and secure cloud environments for customers using innovative automation tools and cutting-edge technologies. As a Senior AWS Cloud Engineer, you will be responsible for implementing scalable Cloud Architecture with efficient cost optimization strategies. You will also be responsible for setting up and evolving the AWS cloud architecture, supporting infrastructure monitoring and alerting, troubleshooting issues, and developing required automation for our customers. You will support large-scale migrations, build new cloud landing zones, and write infrastructure-as-code using modern languages/DSLs.

Key Responsibilities:

• Assist in creating tailor-made architectures using cloud-native technologies.
• Performance Monitoring
• Deploy advanced services on the cloud and work with Data Architects to deploy AI/ML solutions and cutting-edge data lakes, warehouses, and pipelines.
• Implement automation solutions using Infrastructure-as-Code tools like CloudFormation, CDK, and Terraform.
• Maintain a feedback loop with customers to ensure deliveries meet their needs and expectations.
• Debug, troubleshoot, and resolve technical issues.
• Set up large-scale monitoring, alerting, and logging solutions.
• Create Operation SoP document
• Collaborate with architects on requirements and strategies for cloud-based solutions.

Qualifications:

• Bachelor’s degree in computer science, a technical field, or a related business discipline. Equivalent experience, certifications, or training will be considered.
• 8+ years of experience within professional IT
• 5+ years of experience with AWS services, optimizing for performance, scalability, and cost.
• 2+ years of experience with other Cloud platforms
• Experience with security products, such as firewalls, web gateways, and proxies.
• Advanced knowledge of container technologies, including Kubernetes, EKS, ECS, Swarm, and Docker.
• Proficiency in scripting using at least two of the following: Bash, Python, Ruby, Go, or PowerShell.
• Strong foundations in Git and Git-flow methodologies.
• Extensive experience with one or more CI/CD platforms
• 2+ years of experience with Databricks
• Creative troubleshooting skills and out-of-the-box thinking.
• Familiarity with the Agile methodology.
• Experience implementing and managing cloud infrastructure, ensuring optimal performance, security, and cost-efficiency.
• Proven ability to automate deployment, monitoring, and management of cloud resources to support advanced analytics, data science, and operational workloads.
• Excellent collaboration skills to work effectively with the project team to optimize data workflows within the cloud environment.
• Provide support for disaster recovery, high availability, and security management across cloud setups.