DevOps Engineer, Software Engineering

Job Description

As a Software Development Engineer at Experian, you will play a crucial role in ensuring the quality and reliability of our data and technology solutions. Here is a breakdown of your responsibilities, required skills, and core outcomes:Key Responsibilities:- Test Planning & Strategy: - Define functional & non-functional test requirements in collaboration with Product Owners, Engineering Leads, and BAs. - Identify test scenarios for cloud vs. mainframe validation within SPC1 objectives.- Test Automation & Execution: - Develop automated test scripts in Python using AWS services (S3, Lambda, DynamoDB, Glue). - Integrate tests into CI/CD pipelines (Jenkins, Harness) and automate reporting. - Execute functional tests for ingestion transformation, lineage checks, and reconciliation.- Non-Functional Testing: - Perform performance, reliability, and failover testing for ingestion pipelines. - Validate timeliness, completeness, consumption, and governance alignment with automation. - Support rollback, replay, and amendment workflows.- Compliance & Governance Assurance: - Test encryption, IAM least privilege, secrets management, and vulnerability scanning.- Collaboration & Documentation: - Troubleshoot test failures with DevOps and Release Engineers. - Document test results, defects, and variances for Product sign-off. - Participate in DRB reviews to ensure testing aligns with architecture and data control standards.Required Skills & Technical Competencies:- Languages & Tools: Python, AI-assisted tooling (Cursor, Claude Code).- Cloud Services: AWS Transform, S3, Lambda, DynamoDB, Glue.- DevOps Practices: CI/CD integration, Jenkins/Harness, Bitbucket.- Data Testing: Schema validation, nullability checks, lineage verification, variance documentation.Core Outcomes & Success Metrics:- Automated tests executed for all ingestion pipelines.- Real-time Data Control Dashboards showing compliance/non-compliance without manual refresh.- Cloud vs. Mainframe parity validation completed, with exceptions documented.- Audit-ready evidence artifacts generated and stored.- Operational scenarios (rollback, amendment, replay) validated and documented.Please note that Experian values diversity, equity, and inclusion. The companys culture and people-first approach are recognized globally, making it a Great Place To Work in multiple countries. Join Experian to be a part of an innovative and diverse workforce where everyone can succeed and bring their whole selves to work. As a Software Development Engineer at Experian, you will play a crucial role in ensuring the quality and reliability of our data and technology solutions. Here is a breakdown of your responsibilities, required skills, and core outcomes:Key Responsibilities:- Test Planning & Strategy: - Define functional & non-functional test requirements in collaboration with Product Owners, Engineering Leads, and BAs. - Identify test scenarios for cloud vs. mainframe validation within SPC1 objectives.- Test Automation & Execution: - Develop automated test scripts in Python using AWS services (S3, Lambda, DynamoDB, Glue). - Integrate tests into CI/CD pipelines (Jenkins, Harness) and automate reporting. - Execute functional tests for ingestion transformation, lineage checks, and reconciliation.- Non-Functional Testing: - Perform performance, reliability, and failover testing for ingestion pipelines. - Validate timeliness, completeness, consumption, and governance alignment with automation. - Support rollback, replay, and amendment workflows.- Compliance & Governance Assurance: - Test encryption, IAM least privilege, secrets management, and vulnerability scanning.- Collaboration & Documentation: - Troubleshoot test failures with DevOps and Release Engineers. - Document test results, defects, and variances for Product sign-off. - Participate in DRB reviews to ensure testing aligns with architecture and data control standards.Required Skills & Technical Competencies:- Languages & Tools: Python, AI-assisted tooling (Cursor, Claude Code).- Cloud Services: AWS Transform, S3, Lambda, DynamoDB, Glue.- DevOps Practices: CI/CD integration, Jenkins/Harness, Bitbucket.- Data Testing: Schema validation, nullability checks, lineage verification, variance documentation.Core Outcomes & Success Metrics:- Automated tests executed for all ingestion pipelines.- Real-time Data Control Dashboards showing compliance/non-compliance without manual refresh.- Cloud vs. Mainframe parity validation completed, with exceptions documented.- Audit-ready evidence artifacts generated and stored.- Operational scenarios (rollback, amendment, replay) validated and documented.Please note that Experian values diversity, equity, and inclusion. The companys culture and people-first approach are recognized globally, making it a Great Place To Work in multiple countries. Join Experian to be a part of an innovative and diverse workfor

Keyskills :
PythonAWSJenkinsBitbucketCICDSchema validation