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We’re looking for a Security & Privacy Engineering Intern who wants to build real safeguards into production systems—not just run tools and generate reports.
You’ll work on implementing core security and privacy controls across systems handling sensitive speech data. This includes access control, encryption, auditability, and data protection in a fast-moving environment where systems are still evolving.
You’ll collaborate closely with engineering and product teams to ensure security is built into the system by design—not added later. Your work will directly impact user trust, data safety, and enterprise readiness.
If you think critically about risk, care about building secure systems, and want to see your work protect real users, this role will challenge you in the right ways.
Contribute to IAM and RBAC design and implementation
Work with encryption and KMS to secure data in transit and at rest
Design and implement audit trails, logging, and data retention policies
Participate in secure SDLC practices and security reviews
Support threat modeling and risk assessments
Build privacy-preserving patterns for PII handling and redaction
Document security controls, guidelines, and best practices
Basic understanding of IAM and RBAC concepts
Familiarity with encryption fundamentals and key management
Exposure to secure development practices and security reviews
Awareness of common security risks and mitigation strategies
Understanding of privacy concepts around PII handling
Ability to think through trade-offs between security, usability, and speed
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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