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Backend Engineer – Integrations, Automation
Teamcubate. Design, build, and ship backend services and automated workflows from initial requirements through production .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and deploying backend services, integrating third-party APIs, and developing LLM applications. Proficient in using Docker and cloud platforms while ensuring reliability and performance through automated testing and debugging.
Highest-signal resume keywords
TypeScriptNode.jsREST API IntegrationDockerLLM Application Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Backend Software DevelopmentAPI AuthenticationError HandlingMCP Tool IntegrationAutomated TestingDebuggingCode ReviewProduction DeploymentWorkflow OrchestrationModel Evaluation
Soft Skills
Clear CommunicationTechnical Decision-MakingOwnership
Tools & Technologies
AWSGCPAzureClaude Agent SDKOpenAI APIsLangChainVercel AI SDKECSFargateDynamoDB
Certifications & Qualifications
Degree in Computer Science
Industry Keywords
Model-Driven ApplicationsIntegration ServicesProduction SoftwareClient EngineersStructured Data
Tech Stack
Tools & technologiesAWSAzureCloudDockerDynamoDBGoogle Cloud PlatformJavaScriptNode.jsPythonTypeScript
About the role
Key responsibilities & impact- Design, build, and ship backend services and automated workflows from initial requirements through production
- Build reusable tools and integration services with clear schemas, validation, and interfaces
- Integrate third-party APIs and internal services, handling authentication, retries, rate limits, and idempotency
- Implement workflow orchestration involving state, execution limits, permissions, error handling, and human approval steps
- Build and maintain MCP servers and other tool interfaces for model-driven applications
- Develop and refine LLM instructions and tool descriptions
- Configure model selection, reasoning settings, tool permissions, and execution limits for workflows
- Debug production failures including incorrect tool selection, invalid arguments, missing actions, and incomplete execution
- Package and deploy services with Docker to cloud runtimes, with logging and instrumentation
- Add features and integrations to live services while protecting existing behavior through testing and regression checks
- Contribute to architecture and reliability improvements across system boundaries
- Document services and explain their behavior to internal teams and client engineers when needed
Requirements
What you’ll need- At least 3 years building production backend software
- Strong TypeScript and Node.js skills
- Practical experience integrating REST APIs and third-party systems, including authentication, structured data, and failure handling
- Comfort with Docker and at least one cloud platform: AWS, GCP, or Azure
- Hands-on experience building LLM applications that call tools, using an established SDK or framework or a custom execution loop
- Practical experience with MCP or equivalent tool-integration patterns
- Established habits around Git, automated testing, code review, and debugging production software
- Ability to make technical decisions independently and take ownership of outcomes
- Ability to communicate clearly in written English
- A degree in Computer Science or equivalent practical experience
- Preferred: production experience with Claude Agent SDK, Anthropic or OpenAI APIs, LangChain/LangGraph, or Vercel AI SDK
- Preferred: experience writing MCP servers and evaluating model output with test sets, regression checks, or evaluation frameworks
- Preferred: hands-on AWS experience with ECS/Fargate, Lambda, IAM, or DynamoDB
- Preferred: experience integrating Gladly, Zendesk, Salesforce, or Amazon Connect, or using Python for data work
Benefits
Comp & perks- Fully remote work and remote-first culture
- Flexible arrangements supporting work-life balance
- Autonomy and influence over architecture, tooling, and service maintenance
- International, collaborative environment
- Opportunity to deepen experience in workflow orchestration, tool integration, and model-driven application reliability
- Opportunity to work with TypeScript, Node.js, cloud infrastructure, and AI-powered workflows
- Opportunity to shape a growing software platform
- Single, long-term projects
- Friendly HR support
- Professional and personal growth opportunities
- Inclusive, respectful, creative, and collaborative culture
- Shared workspace in Serbia with free drinks and snacks