AWS Administrator- TItusville, NJ

Job Title: AWS Administrator - Senior Level Location: Titusville, NJ Experience: 8+ Years Employment Type: Full-Time About the Role We are seeking an experienced AWS Administrator with deep expertise in cloud infrastructure management, automation, and data-driven solutions. The ideal candidate will have strong experience in AWS administration, cost optimization, and end-to-end solution delivery, along with the ability to work in a fast-paced and collaborative environment. Roles & Responsibilities Design, implement, and maintain AWS cloud infrastructure for high availability, scalability, and security. Administer, monitor, and optimize AWS services, including EC2, S3, RDS, IAM, CloudWatch, and VPC. Collaborate with project managers and stakeholders to gather, refine, and document infrastructure requirements. Manage both structured and unstructured data across AWS and Oracle environments. Implement and maintain Continuous Integration/Continuous Delivery (CI/CD) pipelines using Jenkins, Git, Bitbucket, and related tools. Perform Linux and Windows system administration tasks to ensure system stability and performance. Optimize cloud resource costs while maintaining performance benchmarks. Develop and maintain infrastructure documentation, best practices, and governance guidelines. Troubleshoot cloud infrastructure issues and ensure minimal downtime. Support multi-site, multicultural teams and mentor junior members. Required Skills & Experience 8+ years of professional experience in AWS administration. Expertise in Data & Analytics solutions within AWS and Oracle environments. Proficiency in Linux and Windows system administration. Strong knowledge of automation, CI/CD pipelines, and cost optimization. Experience in Agile/Scrum environments with tools like JIRA, Confluence, Bitbucket. Excellent problem-solving, documentation, and communication skills. BS/MS degree in Computer Science or related field. Preferred Skills & Experience AWS Solutions Architect Associate certification. Experience with Big Data tools like Hive, Spark, Oozie, Impala, Sqoop. Expertise in ETL tools such as Informatica and/or Talend. Familiarity with data visualization tools like Tableau, Qlik, R. Experience with data lineage, profiling, and metadata management.

Created: 2026-03-10