Why This Job is Featured on The SaaS Jobs
Within SaaS, quality engineering increasingly sits at the centre of release reliability, especially for cloud-native products built on APIs and microservices. This Senior SDET role is notable for its emphasis on the Connect platform’s asynchronous workflows, data consistency, resiliency, and latency, which are common fault lines in integration-heavy SaaS offerings. The hybrid setup in Bengaluru also signals close collaboration with engineering stakeholders where architecture and delivery decisions are made.
For a long-term SaaS career, the work maps directly to modern platform delivery: building automation frameworks that scale, embedding quality gates into CI/CD, and translating failures into actionable engineering insight. Experience spanning UI, API, and database layers, plus load and performance testing, tends to transfer well across SaaS companies that operate distributed systems and ship frequently. The remit to define strategy and quality KPIs also develops the ability to communicate risk and readiness in measurable terms.
This position suits an experienced engineer who prefers hands-on ownership while influencing design for testability. It will fit someone comfortable operating across services rather than a single feature area, and who enjoys mentoring while staying close to code and tooling in a cloud environment.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
The Role
As a Senior SDET, you are a strong software engineer with deep expertise in test automation and quality engineering. You design and own scalable test frameworks, drive quality strategy for your domain, and proactively identify risk in complex, cloud-native systems.
This position requires a hybrid work arrangement, with three days in the office. The role reports to the Manager of Quality Assurance, who is located in Bangalore.
This role is hands-on, technical, and impact-driven, with clear expectations around ownership, influence, and mentorship.
What You’ll Do
- Design, develop, and maintain scalable automated testing frameworks for APIs, microservices, and web integrations.
- Perform deep-dive testing of the Connect platform, with a strong focus on asynchronous workflows, data consistency, resiliency, and latency.
- Own and evolve quality gates within the CI/CD pipeline, ensuring fast, actionable feedback on every pull request.
- Plan and execute functional, regression, and end-to-end test coverage across UI, API, and database layers.
- Build internal tools and utilities to help reproduce, debug, and isolate complex production issues.
- Set up, execute, and continuously improve automated test suites; derive meaningful quality KPIs and clearly communicate results.
- Provide detailed failure analysis to enable rapid diagnosis and resolution of product or test defects.
- Design and execute load, stress, and performance tests across services and critical user workflows.
- Participate actively in architecture and design reviews, advocating for testability and appropriate test hooks.
- Define and execute comprehensive test strategies aligned with product and platform goals.
- Write clean, reliable, and maintainable code, solving complex problems with scalable solutions.
- Mentor junior and mid-level engineers, while staying current on modern testing and software development best practices.
What You’ll Bring
- 6+ years of professional software development experience, with strong emphasis on test automation for large-scale systems.
- Strong coding skills in Python, Java, or JavaScript.
- Proven experience designing test frameworks, test strategies, and reviewing system designs.
- Solid understanding of testing methodologies: regression, integration, end-to-end, load, and performance testing.
- Hands-on experience with API and integration testing; strong knowledge of RESTful services.
- Experience working in cloud-native, distributed environments.
- Experience building and maintaining CI/CD pipelines using Jenkins and GitHub.
- Strong written and verbal communication skills; comfortable collaborating across teams and geographies.
- Demonstrated ownership, proactive problem-solving, and ability to operate independently.
Technologies Utilized
- GCP: App Engine (GAE), Kubernetes (GKE), Compute Engine (GCE)
- Languages & Tools: Python, Vue, Git, GitHub, Jira
