7 of 7 Part-Time Test Automation Jobs in the North West

Lead the QA and Stability workstream whilst remaining actively involved in day-to-day testing activities. \n Design, build and maintain automated test frameworks and regression suites using modern automation tooling. \n Develop and execute automated functional, integration, API, end-to-end and regression tests. \n Own performance … Engineering within enterprise environments. \n Proven experience acting as a Technical Lead whilst remaining actively involved in delivery. \n Strong experience developing automated test frameworks using tools such as: \n \n Playwright \n Selenium \n REST Assured \n Cucumber \n Experience conducting: \n Performance Testing \n Load Testing ...

Cloud data platforms (e.g. Snowflake, BigQuery, Redshift) \n Data transformation technology such as DBT \n Visual Studio Code \n Python \n CI automation systems such as Jenkins \n A git-based source control system such as BitBucket \n Data Warehouse/Kimball methodology \n Data replication technology such ...

APIs, front-end frameworks such as Angular) \n \n Experience with Cloud and Containerization technologies \n \n CI/CD pipelines, DevOps practices, and automated testing frameworks \n \n \n Domain Expertise\n \n \n Significant experience in financial services, specifically: \n \n Post-trade processing and settlement ...

located in Manchester, United Kingdom. \n In this role, you’ll make an impact in the following ways: \n \n \n Design, develop, test, and maintain high quality, scalable software applications across the full software development lifecycle in a modern agile POD setup \n \n Build and enhance Java … Analyse, modify, and optimize existing applications to meet evolving business, regulatory, and technical requirements \n \n Apply agile engineering practices, including CI/CD, test automation, code reviews, and AI assisted development, to improve delivery quality and efficiency \n\n To be successful in this role ...

delivery for critical software: requirements, architecture, implementation, testing, deployment, observability, and reliability. \n Raise engineering excellence and resilience: best practices and automation across code, testing, microservices/APIs, performance, and infrastructure; secure-by-design with threat modeling, logging/monitoring, incident playbooks, and disaster recovery. \n Partner with product … Deep Java experience (Spring), architectural patterns for scalable, observable, testable systems; strong API design. \n Strong DevOps practices: CI/CD (e.g., GitLab), automated testing (JUnit/Spock), code reviews, telemetry/observability (Splunk, AppDynamics), containers (Docker), and cloud. \n Hands-on AI development using modern tools and IDEs (e.g. ...

delivery for critical software: requirements, architecture, implementation, testing, deployment, observability, and reliability. \n \n Raise engineering excellence and resilience: best practices and automation across code, testing, microservices/APIs, performance, and infrastructure; secure-by-design with threat modeling, logging/monitoring, incident playbooks, and disaster recovery. \n \n Partner … Deep Java experience (Spring), architectural patterns for scalable, observable, testable systems; strong API design. \n \n Strong DevOps practices: CI/CD (e.g., GitLab), automated testing (JUnit/Spock), code reviews, telemetry/observability (Splunk, AppDynamics), containers (Docker), and cloud. \n \n Hands-on AI development using modern tools ...

delivery for critical software: requirements, architecture, implementation, testing, deployment, observability, and reliability. \n Raise engineering excellence and resilience: best practices and automation across code, testing, microservices/APIs, performance, and infrastructure; secure-by-design with threat modeling, logging/monitoring, incident playbooks, and disaster recovery. \n Partner with product … Deep Java experience (Spring), architectural patterns for scalable, observable, testable systems; strong API design. \n Strong DevOps practices: CI/CD (e.g., GitLab), automated testing (JUnit/Spock), code reviews, telemetry/observability (Splunk, AppDynamics), containers (Docker), and cloud \n Hands-on AI development using modern tools and IDEs (e.g. ...