Senior Automation QA Engineer
Core
Design, develop, and maintain scalable test automation frameworks and test suites for backend services and high-throughput data pipelines in a data-heavy financial environment.
Role type
Senior Backend QA Automation Engineer
Builds
Robust, high-throughput data pipelines and backend services for financial market data
Domain
Financial technology / Data engineering
Deliverable
production ML models | product features
Required skills
Python, PyTest, SQL, REST/gRPC API testing, Linux/Unix shell scripting, Observability tools (Grafana, Prometheus, Zabbix), CI/CD integration, Root cause analysis
Preferred skills
Finance/trading domain knowledge, ETL pipeline validation, AWS cloud platforms (S3, EC2, CloudWatch), GitLab CI/Jenkins/GitHub Actions, AI-assisted development tools
Technologies
Python, PyTest, Requests, SQL, Git, curl, Postman, Linux, Grafana, Prometheus, Zabbix, AWS, Jira, Confluence
Responsibilities
Design and maintain scalable test automation frameworks; Perform functional, integration, and performance testing of backend services and APIs; Plan and execute production releases; Optimize QA processes and integrate tests into CI/CD; Analyze logs and metrics to troubleshoot complex issues; Collaborate with developers and data engineers on requirements and data quality research.
Seniority
Senior, hands-on IC
