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Open Systems Technologies - Cloud AWS Engineer - REMOTE - w2 only USC
Key Competencies for the SRE Position:
1. Extensive hands-on experience with AWS, S3, Load Balancing, ECS, and EKS.
2. Proficient in Terraform for infrastructure development.
3. Familiarity with GIT for pipeline management.
4. Expertise in Infrastructure as Code (IaC).
5. Knowledge of containerization technologies.
Preferred Qualifications:
Certifications in relevant fields, experience with Grafana, Prometheus, Dynatrace, and Kafka.
No coding assessment required, but proficiency in Java and/or Python is expected.
This position is fully remote, with a requirement to operate during EST hours.
Security Level: L2
As an AWS Cloud Engineer, you will collaborate within a Scrum team to enhance and develop our product offerings.
Your responsibilities will include:
- Defining technical specifications for data integration solutions in an AWS cloud setting.
- Creating innovative solutions by integrating cloud-native and third-party vendor technologies.
- Conducting research and executing Proofs of Concept (POCs) with emerging technologies while adopting industry best practices for the cloud data platform.
- Automating processes through Infrastructure as Code scripting.
- Implementing comprehensive automation to ensure software currency.
- Developing automation services for builds utilizing CloudFormation, Python, and shell scripting.
- Creating Service Catalogs featuring products such as S3, EC2, Lambda, and SageMaker.
- Fostering collaboration between business and IT teams.
Qualifications:
• A minimum of 7 years of experience in designing and implementing large-scale solutions in an enterprise environment.
• At least 2 years of experience in all facets of cloud design, development, and deployment.
• Strong understanding of networking principles in a cloud context.
• Proven experience with CI/CD pipelines, preferably using Azure DevOps.
• Hands-on expertise in Terraform, Python, and shell scripting, including automation tools.
• Proficient in AWS services such as S3, EFS, Lambda, EC2, SageMaker, IAM, and VPC.
• Experience with programming languages such as Java, JavaScript, Spark, or PySpark.
• Familiarity with AWS data services, including various compute and storage solutions.
• Knowledge of RDS, NoSQL databases, RDBMS, and in-memory databases.
• Strong foundation in data structures, networking, performance, and scalability.
• Experience with Agile methodologies and ability to work in an Agile environment.
• A strong background in application development is preferred.
• One or more relevant certifications, such as Certified AWS Solutions Architect – Professional or DevOps on an AWS platform.