Work as a software engineering intern contributing to open source cloud-native projects (Prometheus, Kubernetes, CloudNativePG) using Go. Debug and improve distributed systems, collaborate with customers, take end-to-end ownership of tasks, contribute upstream, and document solutions while learning cloud-native engineering practices.
About CloudRaft
Job Description
What you will do
What we are looking for
Bonus points
Selection Philosophy
CloudRaft is a premier cloud-native consulting and engineering company that helps ambitious startups and digital-first organizations build, scale, and operate mission-critical platforms. We partner with innovators at the forefront of artificial intelligence, developer productivity, observability, digital commerce, and enterprise software—enabling them to accelerate growth with resilient, scalable, and production-ready cloud infrastructure.
Our experience spans organizations developing AI safety and governance platforms, AI Cloud, AI agent ecosystems, developer tooling, observability solutions, digital health products, customer engagement platforms, and technology-driven franchise networks. By combining deep expertise in Platform Engineering, Kubernetes, DevOps, Observability, and Cloud Native technologies, CloudRaft helps high-growth companies move faster, operate more reliably, and focus on building category-defining products.
We are looking for highly motivated Software Engineering Interns who are passionate about Open Source, Go programming, and Cloud Native technologies. This internship is designed as a pathway to a full-time engineering role for candidates who demonstrate strong technical ability, ownership, and the mindset to thrive in a fast-moving environment.
You will have the opportunity to work on production-grade infrastructure and contribute to technologies used by enterprises worldwide. Depending on your skills and interests, you may work on CNCF ecosystem projects such as Prometheus, CloudNativePG (CNPG), Kubernetes and others, while collaborating with experienced engineers and interacting directly with customers.
Build and contribute to cloud native software using Go.
Work on real-world engineering challenges across Prometheus, Kubernetes, CloudNativePG (Postgres Operator) and the CNCF ecosystem.
- Contribute to open source projects and upstream communities where applicable.
- Debug, troubleshoot, and improve distributed systems.
- Collaborate with customers to understand problems and deliver practical solutions.
- Take end-to-end ownership of assigned tasks, from design to implementation and documentation.
- Continuously learn and adapt to new technologies and engineering practices.
What we are looking for
- Strong interest in Open Source software and Cloud Native technologies.
- Good programming skills in Go (or a willingness to become highly proficient in Go).
- Solid understanding of computer science fundamentals, Linux, networking, and distributed systems concepts.
- Self-disciplined, proactive, and capable of taking ownership without constant supervision.
- Strong problem-solving and debugging skills.
- Excellent written and verbal communication skills.
- Empathy and professionalism when working with customers and teammates.
- Curiosity, initiative, and a strong desire to learn by building.
Bonus points
Your chances of selection will significantly improve if you have:
- Previous contributions to Open Source projects (GitHub profile, pull requests, issues, or maintainership).
- Active participation in CNCF or other open source communities.
- Experience with Kubernetes, Prometheus, CloudNativePG, or related cloud native technologies.
- Personal projects demonstrating systems programming, distributed systems, or infrastructure engineering.
- Participation in programs such as GSoC, LFX Mentorship, or similar initiatives.
Internship to Full-Time
This internship is intended to identify future full-time engineers. High-performing interns will be offered the opportunity to join the team as full-time Software Engineers based on their performance, ownership, technical skills, and cultural fit.
We value demonstrated ability over credentials. A strong GitHub profile, meaningful open source contributions, technical depth, ownership, and the ability to communicate effectively will stand out far more than a resume alone.
Similar Jobs
Cloud • Security • Software • Cybersecurity • Automation
Lead QA strategy and execution for enterprise business applications (Salesforce, Zuora, Zendesk, NetSuite), building automation, functional and integration testing, AI-driven QA practices, quality metrics, and a documentation-first operating model. Partner with stakeholders, hire and coach QA teams, and operationalize reusable automation and AI tools to improve release confidence and reduce defects across lead-to-cash and quote-to-cash workflows.
Top Skills:
AIAPIsGitlabNetSuiteSalesforceUiZendeskZuora
Artificial Intelligence • Fintech • Information Technology • Logistics • Payments • Business Intelligence • Generative AI
As a Senior AI Engineer, you will design training data pipelines, implement data labeling workflows, and analyze model evaluation results to improve the accuracy of Coupa's AI models.
Top Skills:
PandasPysparkPython
Artificial Intelligence • Fintech • Information Technology • Logistics • Payments • Business Intelligence • Generative AI
Lead product marketing for Coupa's spend management solutions: develop positioning and messaging, create sales enablement content, drive go-to-market launches, gather customer and competitive insights, support analyst relations, and partner cross-functionally to grow pipeline, adoption, and retention.
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
