Remote SRE & Platform Infra Intern (Kubernetes/AWS)

Sezzle

Peru (IL)

On-site

USD 7,600 - 10,000

Full time

14 days+

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Job summary

Sezzle is seeking a motivated Site Reliability Engineering (SRE) / Platform Infrastructure Engineer Intern to learn, build, and scale cloud systems. You will collaborate with seasoned engineers to support infrastructure, improve reliability, and automate workflows in a fast-paced environment.

The role emphasizes learning, experimentation, and growth in cloud infrastructure, distributed systems, and AI-assisted development tools, with remote-friendly options and hands-on exposure to Kubernetes,

Qualifications

Currently pursuing or recently completed a degree in Computer Science, Engineering, or a related technical field.
Basic understanding of cloud platforms (AWS preferred), Linux systems, and networking concepts.
Familiarity with at least one programming language (Golang, Python, or similar).
Understanding of basic database concepts (MySQL, PostgreSQL) is a plus.
Exposure to containers (Docker) and/or Kubernetes is a plus.
Interest in distributed systems, reliability, and infrastructure engineering.
Strong problem-solving skills and willingness to learn.
Good communication skills and ability to work in a team environment.
Demonstrated experience working with Claude or equivalent large language model tools is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication.

Responsibilities

Assist in building, maintaining, and improving infrastructure systems using Kubernetes and AWS.
Monitor system performance, and help troubleshoot production and staging issues.
Contribute to improving observability by working with tools like Prometheus, Grafana, or similar.
Help automate repetitive tasks and improve developer workflows using scripts or tools.
Participate in on-call shadowing and incident reviews to learn how reliability is managed in production systems.
Work with engineers to identify bottlenecks and improve system performance and scalability.
Contribute to documentation and help maintain operational runbooks.
Explore and experiment with AI and automation tools to improve engineering productivity.