Distributed Systems Engineer Internship

Advanced systems engineering program covering consensus algorithms, replication, event streaming, distributed storage, scheduling systems, and high-scale reliability engineering.

GoKafkaRaftPostgresRedisgRPCKubernetesOpenTelemetry

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Distributed Systems Engineer Internship

TechHub Career Accelerator

Outcomes

Design distributed architectures
Implement consensus algorithms
Build event streaming systems
Handle replication and failover
Engineer reliability at scale

Internship roadmap

1
Distributed Systems Theory
2
Consensus Algorithms
3
Replication + Consistency
4
Distributed Queues
5
Schedulers + Coordination
6
Event Streaming
7
Global Reliability
8
Planet-Scale Capstone

Curriculum timeline

Week 1 — Distributed Systems Theory
CAP theorem, consistency, fault tolerance.
2 tasks
Week 2 — Consensus Algorithms
Raft, leader election, distributed coordination.
0 tasks

Task previews

Day 1

Consistency models

reading

Day 2

Implement Raft election

coding

Starter resources

Jepsen Analyseslink

FAQ

Is this mathematically heavy?

Moderately. System reasoning matters more.

Do we build consensus systems?

Yes. Simplified Raft implementations are included.

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