Northramp

SDET

• Lead the design, implementation, and continuous improvement of automated testing solutions across cloud-based applications and development environments
• Ensure new functionality, enhancements, integrations, and production releases meet standards for quality, security, accessibility, performance, and reliability
• Design, develop, execute, and maintain automated functional, regression, integration, API, performance, security, and accessibility tests
• Build and enhance scalable test automation frameworks, reusable components, and testing standards
• Translate requirements, user stories, and acceptance criteria into traceable test cases and automated test scenarios
• Apply test-driven development and shift-left testing practices
• Validate application functionality across development, integration, staging, pre-production, and production-like environments
• Integrate automated testing into CI/CD pipelines and establish automated quality gates
• Troubleshoot failed builds, test failures, environment issues, and deployment defects with DevSecOps and engineering teams
• Develop and maintain test plans, test cases, test scripts, test data, execution results, traceability records, and audit-ready documentation
• Maintain testing artifacts in Jira, Confluence, and approved repositories
• Support Section 508 accessibility testing and related reports
• Identify, document, prioritize, and track defects through resolution
• Perform root cause analysis of escaped defects, recurring quality issues, and failed production deployments
• Track and report quality indicators, including test coverage, pass rates, defect metrics, failed tests, and deployment failures
• Recommend corrective actions and process improvements based on testing results and quality trends
• Develop and execute performance, load, stress, and resilience tests
• Collaborate with cybersecurity and engineering teams on security vulnerability and POA&M remediation validation
• Conduct automated and manual accessibility testing under Section 508 and federal requirements
• Participate in Agile ceremonies, program increments, demonstrations, retrospectives, and release activities
• Collaborate with product owners and business analysts to define testable acceptance criteria
• Support User Acceptance Testing, Independent Verification and Validation, third-party testing, and federal audit activities
• Present test results, risks, quality trends, and recommendations to technical teams and program leadership
• Mentor team members and promote quality engineering and automation practices

Explore Quality Assurance Automation Engineer – QA at Northramp. Review requirements and application details.

Quality Assurance Automation Engineer – QA

Data Scientist

• Develop and maintain LookML data models, Looks, and LookML dashboards for client program stakeholders and leadership
• Build and deploy machine learning models for classification, prediction, anomaly detection, and natural language processing
• Conduct exploratory data analysis, statistical modeling, and hypothesis testing
• Develop and maintain feature engineering pipelines, model training workflows, and model serving infrastructure integrated with cloud data platforms and BigQuery
• Partner with Data Engineers to define data requirements and validate pipeline outputs
• Collaborate with program leadership and government stakeholders to translate mission requirements into analytical problems and measurable KPIs
• Implement responsible AI practices, including model explainability, bias assessment, and documentation
• Build and maintain automated reporting and alerting workflows for operational metrics and anomalies
• Document methodologies, model assumptions, validation results, and performance metrics for ATO and audit requirements
• Mentor junior analysts and support data-driven practices across the delivery team

Explore Data Scientist – AI, BI, Looker at Northramp. Review requirements and application details.