Intern – Integration Developer

Mirantis

Intern Integration Developer at Mirantis working on API integrations and AI-powered automation. Build connections between internal systems and contribute to innovative cloud technologies.

Posted 6/19/2026internshipRemote • 🇰🇿 KazakhstanEntry LevelWebsite

Tech Stack

Tools & technologies

CloudDistributed SystemsDockerERPGraphQLITSMJavaScriptNode.jsPythonSQL

About the role

Key responsibilities & impact

Build and maintain integrations between internal systems (CRM, ITSM, ERP) using REST and GraphQL APIs
Develop data pipelines to move, transform, and sync data across platforms
Work with iPaaS tools such as Make, Zapier, Boomi, or MuleSoft
Debug integration failures and data issues across distributed systems
Write clean, documented code in Python and/or JavaScript
Connect LLM APIs (Claude, OpenAI) into internal workflows and business applications
Build MCP connectors to enable AI agents to interact with enterprise systems
Help design and test multi-agent workflows using LangChain, AutoGen, or CrewAI
Prototype AI-native patterns: document parsing, ticket classification, semantic search, and RAG pipelines
Monitor AI pipelines for accuracy and unexpected behavior; iterate based on results
Write tests to validate integration and pipeline behavior
Participate in code reviews — both giving and receiving structured feedback via GitHub pull requests
Apply basic security practices: secret management, input validation, OAuth2 scopes, and least-privilege API access
Identify and flag common integration security risks such as exposed credentials, insecure endpoints, and excessive data exposure
Document API contracts, data mappings, and configurations
Maintain runbooks and contribute to the internal knowledge base.

Requirements

What you’ll need

Technical Python and/or JavaScript/Node.js fundamentals
Working knowledge of REST APIs, JSON, OAuth2
Git and GitHub — branching, commits, pull requests, merge conflict resolution
Basic SQL skills
Familiarity with cloud platforms or Docker is a plus
Comfortable using AI coding assistants (Copilot, Cursor, Claude)
Basic understanding of LLMs: context windows, tool calling, prompt design
Awareness of responsible AI use: hallucination risks, data privacy, output validation
Understanding of common API security risks
Basic knowledge of authentication and authorization patterns: OAuth2, API keys, JWT
Awareness of data handling responsibilities: PII, access control, and audit logging
Jira for task tracking, sprint planning, and issue management
GitHub for version control, pull requests, and collaborative code review
Comfortable working in an Agile team environment
Strong analytical and problem-solving mindset
Clear written and verbal communication in English
Detail-oriented, collaborative, and self-directed
Comfortable with ambiguity and fast-moving environments.

Benefits

Comp & perks

Work with an established Silicon Valley leader in the cloud infrastructure industry;
Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies;
Be a part of cutting-edge, open-source innovation;
Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued;
Professional development and training;
Attend conferences and working groups;
Company outings, happy hours, hackathons, and tech talks;
Receive a competitive compensation package with a strong benefits plan.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonJavaScriptREST APIsGraphQLSQLOAuth2API securitydata pipelinesAI-native patternsmulti-agent workflows

Soft Skills

analytical mindsetproblem-solvingclear communicationdetail-orientedcollaborativeself-directedcomfortable with ambiguityadaptabilityfeedback receptionteamwork