Staff QA Engineer
DataDirect Networks (company site, opens in a new tab)12+ yrsPuneOn-siteDirect career pageEst. 30–45 LPA
Posted on 1 Sept
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Reach people at DataDirect Networks
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at DataDirect Networks you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead quality engineering efforts for the DDN Horizon Control distributed cloud-native system, including defining test strategy and automation frameworks.
- Develop and maintain comprehensive test automation covering API, integration, system, security, and non-functional aspects using technologies like Go, Kubernetes, and GitHub Actions CI/CD.
- Drive release readiness and quality improvements through hands-on validation, troubleshooting, root cause analysis, mentoring, and risk assessment in a complex microservices/event-driven environment.
Minimum Requirements
- Minimum 12 years of software quality engineering experience.
- Strong programming skills in Go, Python, Java, or comparable language.
- Experience with automation framework development, API testing, and distributed systems/cloud-native applications.
- Hands-on experience with Kubernetes, Docker, Helm, GitHub Actions, REST APIs, event-driven architectures, asynchronous systems, authentication/authorization (JWT, OAuth, RBAC), and non-functional testing.
Ideal Candidate Profile
- Technical leader comfortable with both hands-on automation development and strategic test planning in complex distributed and microservices/cloud-native environments.
- Experienced in extensive quality engineering including system validation, performance/stress testing, failure injection, and root cause analysis for enterprise-grade solutions.
- Proficient in Go and associated automation tools (Godog, Gherkin, Playwright) and familiar with messaging platforms (NATS, Kafka) and infrastructure orchestration, enabling influence on architecture and release quality.