Salary
Not Disclosed
Location
Remote
Highlights
Hands-on experience in small teams, mentorship, extensive debugging, and cloud provisioning.
Description
Job Summary
pThe Software Engineer (Cloud Foundations) will work on core product systems using Kubernetes, Go, and Python. You'll contribute reviewed code, pair with experienced engineers, and have a dedicated mentor. This role emphasizes end-to-end ownership from concept to observability across the stack.Responsibilities
- Contribute reviewed code in Go or Python services
- Apply Kubernetes fundamentals such as Deployments, Services, kubectl logs, and resource limits
- Improve Terraform module variables or documentation for IaC
- Add metrics, log fields, or trace spans to observability practices
- Pair with senior engineers on stretch opportunities like ingress changes or admin tooling
Required Skills
- Kubernetes
- Go Programming Language
- Git and Linux Command Line
- Terraform IaC
- Debugging Techniques
Required Skills Explained
- Solid computer science fundamentals: Understanding data structures, algorithms, and how programs fail is crucial for debugging and optimizing code.
- Strong programming skills in Go or Python: Proficiency in these languages is essential as the role involves backend development and contributing to our services.
- Comfortable with Git and Linux command line: Familiarity with version control systems and basic Linux commands helps in managing projects and collaborating effectively.
- Puzzle-style debugging: The ability to troubleshoot complex issues without needing immediate answers is highly valued for ensuring the reliability of our systems.
Who is this for
pThis role is ideal for individuals who value deep troubleshooting, holistic system ownership, and hands-on experience with industry-standard tools like Kubernetes, Terraform, and CI/CD pipelines.Why This Job is a Good Opportunity
ulliHands-on experience with Kubernetes, Go, Python, Terraform, and CI/CD: Gain practical knowledge in industry-standard tools and technologies that are key to cloud infrastructure.liOwning end-to-end projects: From concept to observability, take full ownership of your work and see tangible results through demo or resume write-up expectations.liCollaborative environment: Work with experienced engineers who will mentor you and provide support throughout the internship.liDiverse range of tasks: Get exposure to a variety of technical areas including cloud provisioning, infrastructure as code, and observability practices.Interview Preparation Tips
- Understand Kubernetes fundamentals: Be ready to discuss deployments, services, logs, resource limits, and small changes in Helm charts or manifests.
- Showcase your programming skills: Prepare examples of Go or Python projects that demonstrate your ability to write clean, efficient code.
- Practice debugging scenarios: Describe how you would troubleshoot issues in a production environment using tools like kubectl and other diagnostic scripts.
- Highlight your problem-solving abilities: Discuss past experiences where you solved complex problems through persistence and collaboration.
Career Growth in This Role
pThis role provides a strong foundation for a career in software engineering, particularly in cloud infrastructure. After the internship, graduates may move into full-time roles as Software Engineers or pursue advanced positions such as Staff Engineer or Cloud Solutions Architect. The hands-on experience and mentorship received during this internship will be invaluable for furthering technical skills and building a robust professional network.pOpportunities exist to specialize in specific areas of cloud infrastructure, such as Kubernetes, Terraform, or observability practices. Additionally, the role exposes you to the entire software development lifecycle, from design through deployment, which is highly beneficial for career advancement in any tech company.Explore More Opportunities
Skills
Frequently Asked Questions
What are the primary responsibilities of this role?Key responsibilities include contributing to Go or Python services, applying Kubernetes fundamentals, improving Terraform IaC, adding observability practices, and collaborating on stretch opportunities.
Do interns carry production pager duties?No, interns do not hold the production pager. Early weeks are for onboarding; mid-term involves owning a concrete ticket/mini-project; by the end, a demo or resume write-up is expected.
What technologies will I be working with?You'll work with Kubernetes, Go, Python, Terraform, and CI/CD pipelines. We also use Docker, cloud providers, and infrastructure-as-code practices.