Job Overview
Atlan is offering a Backend Engineering Internship for passionate developers eager to build, scale, and innovate in the data ecosystem. This opportunity allows you to work on real-world projects in areas like AI-native systems, connectors, metadata frameworks, and platform infrastructure. Interns at Atlan gain practical experience, learn from seasoned engineers, and contribute to shaping the world’s first active metadata platform. With the potential to transition into a full-time role, this internship provides a valuable start to a long-term career in backend engineering.
Job Details
Company: Atlan
Job Position: Backend Engineering Intern
Location: Remote (Onboarding in Delhi or Bangalore)
Qualification: Currently pursuing a Bachelor’s in Computer Science, Engineering, or related field
Internship Duration: 6 Months (Full-time, Paid)
Onboarding: In-person (January 2026) with expenses covered
Salary (Estimated): ₹30,000 – ₹50,000 per month (based on Indian industry standards for backend engineering interns)
Employment Type: Internship
Key Responsibilities
- Develop backend systems supporting Atlan’s app framework and integrations.
- Build and scale connectors across the modern data ecosystem.
- Contribute to the Metastore service powering metadata management.
- Help develop Atlan’s Metadata Lakehouse using Apache Iceberg.
- Work on cloud-native infrastructure like Kubernetes and Helm.
- Improve platform reliability, scalability, and performance.
- Participate in building AI-native features integrated within Atlan’s products.
- Assist in debugging, troubleshooting, and resolving backend issues.
- Collaborate with cross-functional engineering and product teams.
- Write efficient, maintainable, and well-documented backend code.
- Contribute to observability, monitoring, and automated maintenance systems.
- Participate in operator rollouts and service isolation improvements.
- Test and deploy backend solutions with reliability.
- Assist in building backup and recovery workflows for platform stability.
- Support ongoing innovation in data governance and collaboration.
Required Skills and Knowledge
- Proficiency in one or more backend languages (Java, Python, Go).
- Familiarity with cloud-native tools (Kubernetes, Helm, Argo, Temporal).
- Understanding of modern data lake and warehouse architectures.
- Knowledge of Apache Iceberg or similar systems.
- Experience in writing clean, efficient backend code.
- Familiarity with data pipelines and metadata systems.
- Strong debugging and problem-solving skills.
- Experience using AI tools for coding, testing, or debugging.
- Active GitHub or contributions to open-source projects.
- Strong analytical thinking and structured problem-solving ability.
- Excellent teamwork and collaboration skills.
- Ability to work in cross-functional and distributed teams.
- Strong communication and presentation skills.
- Self-motivation and ownership of assigned projects.
- Curiosity to learn and apply new technologies.
About Atlan
Atlan is a fast-growing global company pioneering the world’s first active metadata platform. Recognized by Gartner and Forrester, Atlan helps organizations transform data chaos into clarity. Its platform empowers Fortune 500 companies, startups, and leading institutions worldwide. With offices across 15+ countries, Atlan is backed by Insight Partners and trusted by global leaders like Cisco, Nasdaq, and HubSpot. Having achieved 7X revenue growth in two years, Atlan continues to redefine how humans and data collaborate to achieve extraordinary outcomes.
Why Join Atlan
- Opportunity to work on impactful backend projects from day one.
- Exposure to real-world AI-native systems and technologies.
- Learn from highly experienced engineers with decades of expertise.
- Experience in building high-performance connectors and data systems.
- Contribute to cutting-edge metadata frameworks like Apache Iceberg.
- A chance to collaborate with global data teams and industry leaders.
- Paid internship with covered onboarding expenses.
- Remote-first work culture after onboarding.
- Possibility of transitioning to a full-time role.
- Inclusive and diverse work environment.
- Ownership of projects and opportunity to innovate.
- Chance to contribute to open-source and global data communities.
- Access to networking opportunities across the data ecosystem.
- Exposure to both product and platform engineering challenges.
- Be part of a mission-driven company transforming data collaboration.
Important Links
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