Company Overview:
At Codvo, software and people transformations go hand-in-hand. We are a global empathy led technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day. We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results.
| Area | What You’ll Own & Drive |
|---|---|
| Quality Governance & Delivery Leadership | • Own test strategy, planning, and release readiness for each programme increment. • Serve as Delivery Quality Lead—define “Definition of Done,” chair defect triage, and issue the final go/no-go for production deployments. • Establish and track quality KPIs (coverage, escape rate, MTTR, SLA/SLO adherence) and present to senior leadership. • Mentor and manage a team of 6-10 SDETs/performance engineers, fostering a culture of continuous improvement. |
| Cloud & Environment Testing | • Design and execute functional, regression, security and performance tests on AWS / Azure micro-services, serverless, and containerised workloads. • Build environment-as-code test harnesses (Terraform / CloudFormation) to provision and dispose cloud test beds on demand. • Validate auto-scaling, fail-over, disaster-recovery scenarios to guarantee resilience and cost-optimised operations. |
| Test Automation (Web, Mobile & API) | • Architect re-usable automation frameworks (Selenium, Appium, Cucumber/TestNG, REST-assured) covering UI, API, and performance layers. • Embed automation in CI/CD pipelines (GitHub Actions / Azure DevOps) to gate builds and surface real-time quality dashboards. • Champion shift-left practices—pair with developers on unit-level automation and contract testing (PACT / OpenAPI). |
| Performance Engineering | • Lead baseline, load, stress, endurance, and spike tests; profile bottlenecks with JMeter / k6 / Gatling and cloud APM (CloudWatch, Azure Monitor). • Produce tuning and capacity recommendations that keep applications within target SLA/SLO. |
| Continuous Improvement & Tooling | • Evaluate emerging QA tooling (AI-driven test generation, self-healing locators). • Drive root-cause analysis of production escapes and turn findings into preventive automated tests. |