About the Role

We’re looking for an Infrastructure Engineering Intern who wants to scale real production systems—not just manage cloud resources.

You’ll work on designing and optimising infrastructure for high-throughput speech workloads, balancing performance, cost, and reliability in a fast-moving environment. This includes compute, storage, networking, and preparing systems to scale across regions.

You’ll collaborate closely with SREs and engineers to ensure systems are efficient, resilient, and ready for growth. Your work will directly impact latency, cost efficiency, and system stability.

If you enjoy thinking about systems at scale, debugging performance issues, and improving how infrastructure behaves under load, this role will push you to grow quickly.

What You Will Do

• Contribute to cloud architecture design and operations (AWS, GCP, or Azure)

• Work with Kubernetes to manage and scale workloads

• Optimise GPU and CPU scheduling for performance and cost

• Profile system performance and identify bottlenecks

• Help prepare systems for multi-region and high-availability setups

• Collaborate on capacity planning with SRE and engineering teams

• Document infrastructure decisions, architectures, and best practices

What We’re Looking For

• Basic understanding of cloud platforms (AWS, GCP, or Azure)

• Familiarity with Kubernetes and container orchestration

• Exposure to distributed systems concepts

• Awareness of performance and resource optimisation basics

• Comfort with debugging and profiling system performance

• Ability to operate in fast-changing, ambiguous environments

Founding Mindset

• 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

Bonus

• 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

What Success Looks Like

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

What You’ll Get

• 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

Who This Is Not For

• 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

Who Will Thrive Here

• 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

About the Company

We’re building the speech intelligence layer for Southeast Asia—turning real-world, accented, code-switched speech into structured, usable outputs for businesses.