Please mention DailyRemote when applying
We’re looking for a QA / Automation Engineering Intern who wants to build quality systems—not just run test cases.
You’ll work on designing and implementing automated testing across audio pipelines and enterprise workflows in a fast-moving environment where systems evolve quickly and ambiguity is constant. This means creating reliable test infrastructure, improving coverage, and ensuring production quality keeps pace with rapid development.
You’ll collaborate closely with founders and engineers to prevent issues before they reach customers. Your work will directly impact system reliability, release confidence, and user trust.
If you enjoy breaking systems, automating intelligently, and thinking deeply about edge cases, this role will stretch your skills in the right ways.
Design and implement automated tests for audio pipelines and enterprise workflows
Build and maintain reproducible test datasets and scenarios
Implement API, contract, and UI/E2E tests (Playwright or Cypress)
Integrate automated test suites into CI/CD pipelines
Define and enforce quality gates for releases
Collaborate with engineering to debug distributed system failures
Document test strategies, edge cases, and known risks
Familiarity with a scripting language (Python, JavaScript, etc.)
Exposure to test automation frameworks (pytest, JUnit, or similar)
Basic understanding of API and contract testing
Interest in UI/E2E testing tools like Playwright or Cypress
Comfort working with CI/CD tools and pipelines
Ability to debug issues across multiple components
You think in terms of user-perceived reliability, not just dashboards
You ask “what does good reliability look like?” before adding metrics
You take ownership of uptime and graceful degradation
You balance speed of change with system stability
You proactively identify reliability gaps before they cause incidents
Experience with observability tools like Prometheus, Grafana, or OpenTelemetry
Exposure to incident management or on-call workflows
Experience with resilience testing or chaos engineering
Familiarity with tracing and structured logging
Within 4–6 weeks, you should be able to:
Own monitoring and alerting for a subset of services
Reduce noisy alerts and improve signal quality
Contribute to incident retrospectives with actionable insights
Improve reliability, visibility, or response time in a measurable way
Hands-on experience building reliability practices from the ground up
Direct collaboration with founders and core engineering teams
Real ownership beyond a typical SRE internship
A portfolio of dashboards, runbooks, and system improvements
A strong pathway into SRE, platform, or production engineering roles
If you want predictable systems with no incidents to handle
If you avoid ambiguity or cross-team problem solving
If you prefer rigid, siloed environments with predefined processes
Builders who want to actively own system reliability
Engineers who think in terms of end-to-end systems
Calm debuggers of intermittent and complex failures
High-agency individuals who care about keeping systems running reliably
We’re building the speech intelligence layer for Southeast Asia—turning real-world, accented, code-switched speech into structured, usable outputs for businesses.
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