Posted:23 hours ago|
Platform:
Work from Office
Full Time
We are looking for a Software Test Engineer who has executed testing in live/production environments and thrives on preventing issues before customers see them. You ll craft test strategies, automate where it matters, validate complex data workflows, and partner with engineers to ship confidently.
1. 2+ years of proven testing experience in production or production-like environments for web/SaaS platforms.2. Strong fundamentals of software testing: test design techniques, boundary/edge cases, and risk-based testing.
3. Hands-on with API testing (Postman or PyTest/Requests) and UI/e2e tools (Selenium).
4. Comfortable writing testing utilities/scripts in Java/JavaScript/TypeScript or Python.
5. SQL and MongoDB proficiency for data validation; familiarity with logs/metrics/traces (e.g., CloudWatch/Grafana/ELK).
6. Excellent command and proven experience with CI/CD (GitHub Actions/Jenkins), Git workflows, and defect/test management tools (Jira/TestRail or equivalents).
7. Strong aptitude to test and validate Algorithms and their logic control.
8. Excellent documentation and communication skills; bias for clarity and prevention.
- Performance testing (k6/JMeter), contract testing (Pact), and basic security testing (OWASP Top 10 awareness).
- Exposure to microservices, message queues, and event-driven architectures. - Knowledge/exposure of AI testing and benchmarking techniques and willingness to learn test AI modules and LLM-based agents. - Domain knowledge in energy/IoT, hardware-in-loop testing, or time-series data validation.1. Own test planning and execution across web UI, APIs, and data pipelines; define clear entry/exit criteria and risk-based prioritization.
2. Author and maintain manual and automated test cases (regression, smoke, sanity, compatibility).
3. Build reliable automation for API/UI/e2e flows (e.g., Postman/Newman, PyTest/Requests, Selenium).
4. Test data-intensive features: algorithm (ML-based and physics-based), validate ETL/ELT jobs, time-series accuracy, idempotency, and data quality (DQ) checks.
5. Perform production-aware testing: canary/blue-green validation, feature-flag rollouts, log-based verification, and SLO-driven checks.
6. Conduct non-functional testing (performance with k6/JMeter; reliability; basic security checks) and coordinate with DevOps on environment parity.
7. Create/maintain test documentation: test plans, traceability matrices, runbooks, RCA reports, and release sign-offs.
8. Drive defect lifecycle end-to-end: triage, prioritization, clear reproduction steps, and verification of fixes.
9. Track and report quality metrics (coverage, MTTR for bugs, escaped defects) to improve release discipline.
- Remuneration: A competitive remuneration with additional ESOPs. - Opportunity to implement and master AI/LLM/algorithms-based data-intensive advanced analytics/AI platforms. - Opportunity to learn and master big-data technologies. - Opportunity to work in a conducive environment that challenges your limits and helps you in improving your capacities - Opportunity to work with Swiss Research Institutions and closely collaborate with top global tech researchers - Ample opportunities to learn and grow professionally. We conduct monthly professional & personal productivity workshops - Conceptualize, write and live your own startup story with full autonomy and under brilliant mentorship - The high degree of empathy and work-life balanceSmarthelio
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