Mid-Level Back-end Developer (Cloud & DevOps Focus)

Team: TwinD (Industrial Digital Twin Solutions)

Experience Level: Mid-Level (2-4 years)

Focus: Scalability, Cloud Architecture, DevOps, High-Performance APIs

About the Role

Team TwinD is looking for a Back-end Developer who is strong in Engineering Principles. You won't just write APIs; you will own the infrastructure, manage the Cloud environment, and ensure our AI/Data Science models run on a scalable, production-grade system.

🛠️ Hard Skills & Requirements (Must Have)

• Framework: Nest.JS or Golang (Focus on high concurrency and performance).
• Database: Strong proficiency in SQL (PostgreSQL) and NoSQL (MongoDB, Redis, Time-series DB).
• DevOps & Cloud (Mandatory):
• Hands-on experience with Docker and Kubernetes.
• Proficiency in Cloud Services (AWS or Azure) related to computing, networking, and managed databases.
• Experience setting up and managing CI/CD pipelines.
• Testing: Must be able to implement robust Unit Tests and Integration Tests independently.

🚀 Role and Responsibilities

• High-Performance Backend: Architect and develop scalable APIs to handle massive industrial data loads and seamless AI Model integration.
• DevOps & Infrastructure: Manage containerization (Docker), orchestration (K8s), and deployment pipelines to ensure zero-downtime releases.
• System Reliability: Monitor system health, optimize database queries for speed, and ensure security compliance.

👤 Qualifications

• Experience: 2–4 years in Back-end Development with proven DevOps responsibilities.
• Certificates (Highly Considered): AWS Certified Solutions Architect, CKA/CKAD (Kubernetes), or similar Cloud certifications.

📝 Additional Details (Applicable to Both Roles)

🧠 Soft Skills & Preferences

• Strong problem-solving mindset with a commitment to "Clean Code" standards.
• Excellent communication skills for collaborating with cross-functional teams (Data Science, Operations).
• Eagerness to learn new technologies in the Industrial AI space.

👤Compensation & Timeline

• Project Duration: 12 months
• Compensation: Milestone-based payment structure
• Pay Range: Negotiable based on experience and expertise.
• Future Opportunity: Possibility for long-term employment or partnership based on performance and project success.