Full Stack Engineer

Job Summary Seeking a Full Stack Engineer with strong cloud engineering, automation, and data platform experience to support enterprise platform engineering initiatives. This role will focus on building and scaling secure cloud-based automation and data validation solutions, with an emphasis on test data management and compliance within highly resilient AWS environments. The ideal candidate will have experience developing scalable software solutions, automating workflows, and supporting cloud-native platforms. Key Responsibilities Design, develop, and maintain secure cloud-based automation and data platforms Support enterprise Test Data Management (TDM) initiatives and data validation solutions Develop and automate repetitive data validation and processing tasks Build and support highly resilient AWS cloud-based platforms and services Develop software solutions using Python, NodeJS, or Java Design and maintain data management solutions using relational and enterprise databases Support CI/CD pipeline development and infrastructure automation initiatives Collaborate with platform engineering teams across automation, identity services, reporting platforms, and cloud services Ensure solutions align with organizational security standards and compliance requirements Monitor platform health and support observability and operational tooling Participate in Agile development activities and cross-functional collaboration Contribute to infrastructure scalability, reliability, and operational efficiency improvements Required Qualifications Bachelors degree in Computer Science or equivalent experience 5+ years of experience in Test Data Management (TDM) environments 35+ years of AWS cloud development experience Experience building and operating resilient cloud platforms within AWS environments 35+ years of software development experience using Python, NodeJS, or Java Experience automating software development lifecycle (SDLC) and data validation processes Experience developing data management solutions using RDBMS technologies including Oracle, DB2, CockroachDB, iCEDQ, and Delphix Strong understanding of software engineering principles and automation practices Strong written and verbal communication skills Ability to collaborate effectively within cross-functional engineering teams Preferred Qualifications Experience with Kubernetes and serverless technologies including Lambda, SQS, DynamoDB, and S3 Experience with Infrastructure as Code tools such as Terraform Experience with Data API development and ETL processes Mainframe experience Experience with infrastructure automation and observability tools such as Jenkins and Datadog Hands-on experience with CI/CD pipelines using Jenkins Core Familiarity with Linux system administration, networking, and load balancing concepts AWS or Kubernetes certification Experience supporting enterprise security and compliance initiatives

Education:

Bachelors Degree Certification:

AWS , Kubernetes