About the Role
Develop core components of a cloud-native ERP platform with AI integration at its foundation, focusing on reliability, extensibility, and real-time data processing.
Responsibilities
- Architect scalable backend services for enterprise resource planning workflows
- Integrate machine learning models into operational business processes
- Optimize system performance for high-volume transaction environments
- Collaborate with product teams to define feature specifications
- Implement secure API interfaces for internal and external clients
- Design data models supporting financial, inventory, and supply chain modules
- Ensure compliance with data privacy and enterprise security standards
- Write automated tests to maintain code quality and reduce regressions
- Support deployment pipelines in cloud infrastructure environments
- Troubleshoot production issues and implement timely fixes
- Refactor legacy components to align with modern cloud practices
- Participate in code reviews and technical design discussions
- Monitor system health using observability tools and metrics
- Document technical designs and integration patterns
- Contribute to roadmap planning for platform evolution
- Work with AI/ML engineers to operationalize predictive features
- Enhance user-facing capabilities through backend improvements
- Ensure cross-module consistency across ERP functions
- Evaluate third-party tools and libraries for system integration
- Maintain high availability and fault tolerance in distributed systems
- Support onboarding of enterprise clients to the platform
- Improve data synchronization between internal and external systems
- Implement role-based access controls for sensitive operations
- Assist in scaling database infrastructure for growing workloads
- Stay current with advancements in cloud computing and AI technologies
Nice to Have
- Master’s degree in a technical discipline
- Direct experience with AI-first software platforms
- Contributions to open-source cloud or ERP projects
- Certifications in cloud architecture or security
- Experience in regulated industries such as finance or healthcare
- Familiarity with natural language processing applications
- Knowledge of real-time analytics systems
- Background in startup or high-growth environments
Compensation
Competitive salary with performance-based incentives
Work Arrangement
Hybrid work model with flexible hours
Team
Collaborative engineering team focused on cloud-based enterprise solutions
Why This Role Matters
- This position shapes the backbone of a next-generation ERP system designed from the ground up with artificial intelligence at its core.
- You will directly influence how businesses automate decisions, manage resources, and scale operations globally.
Technology Stack
- Primary languages include Python and TypeScript
- Infrastructure runs on Google Cloud Platform
- Services are containerized using Docker and managed via Kubernetes
- Data stores include PostgreSQL, BigQuery, and Redis
- Machine learning models are served using TensorFlow and Vertex AI
- CI/CD pipelines are powered by GitHub Actions and ArgoCD
Growth Opportunities
- Pathways to technical leadership roles
- Access to annual learning stipends and conference attendance
- Internal mobility across product, platform, and AI teams
Work Environment
- Team operates on a flexible schedule with core collaboration hours
- Office locations in major tech hubs with remote options
- Emphasis on sustainable workloads and team well-being
Available for qualified candidates
