Role Description
#### **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 system behaviour, not just tools
You ask “how does this impact reliability and cost?” before changes
You take ownership of scalability and efficiency
You balance quick fixes with long-term architectural improvements
You proactively identify scaling risks before they cause incidents
##### **Bonus**
Experience with autoscaling or multi-region deployments
Exposure to queues, caching systems, or storage optimisation
Experience working on high-throughput or latency-sensitive systems
##### **What Success Looks Like**
Within 4–6 weeks, you should be able to:
Own a part of the infrastructure stack independently
Ship at least one improvement to cost, performance, or reliability
Identify and surface infrastructure risks early
Improve visibility or documentation around system behaviour
##### **What You’ll Get**
Hands-on experience scaling real production workloads
Direct collaboration with founders, SREs, and engineers
Ownership of meaningful infrastructure improvements
A portfolio of optimisations, designs, and system changes
A strong pathway into infrastructure, platform, or reliability engineering roles
##### **Who This Is Not For**
If you only want to follow existing infrastructure patterns
If you prefer staying away from production systems
If you want slow, highly structured environments
If you’re looking for a low-pressure internship
##### **Who Will Thrive Here**
Builders who enjoy shaping how systems scale
Engineers who think in terms of end-to-end systems
Calm debuggers of complex performance issues
High-agency individuals who care about efficient and resilient systems
##### **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.