Back End Developer
Role details
Job location
Tech stack
Job description
authorization, and data protection mechanisms. - Cloud Infrastructure & DevOps: - Manage and optimize AWS environments (EC2, Lambda, RDS, S3, API Gateway, ECS). - Its a plays if you know how to Automate deployments using CI/CD pipelines (GitHub Actions, or similar). - You are a unicore if you know hot to apply infrastructure-as-code practices, like Terraform. - Having a hands on expereince in Monitor, log, and troubleshoot distributed systems in production environmentsusing tools grafana, promtheus. - Its a big plus if you have experience with clickhouse - AI-Driven Development (Vibe Coding): - Work closely with AI coding assistants to generate, refactor, and maintain production-ready code. - Focus on architecture, orchestration, and review rather than manual coding. - Design effective prompts, validate AI-generated code, and ensure compliance with performance and security standards. - Help evolve our internal "Vibe Coding" workflows and best practices for human-AI
Requirements
collaboration. - Collaboration & Quality: - Collaborate cross-functionally with other team developers, designers, and product owners. - Participate in code reviews and architectural discussions. - Write clean, maintainable, and well-tested code aligned with project goals. Must to Have - Experience: 3+ years in backend development with production-grade systems. - Languages: Strong proficiency in Python, or working knowledge of Golang. - Databases: Experience with SQL Databases. - APIs: Proven experience designing and consuming RESTful APIs. - DevOps: Experience with Docker and Docker Compose - Testing: Familiarity with testing frameworks (such as PyTest, unittest). - Collaboration: Strong communication and teamwork in Agile environments. - Redis knowledge as a must Nice to Have - AI & Automation Tools: Experience using Cursor, Windsurf, GitHub Copilot, or other AI-assisted development tools. - Prompt Engineering: Ability to craft effective prompts for AI code generation, debugging, and optimization. - Cloud-Native Mindset: Experience with serverless architectures (AWS Lambda, Fargate) and Terraform. - Performance Optimization: Understanding of data structures and algorithms, concurrency, async processing, caching, and load balancing. - Security Awareness: Knowledge of OAuth2, JWT, and best practices for secure API design. - Monitoring & Logging: Experience with Grafana, Prometheus, or AWS CloudWatch. - Open Source: Contributions or side projects showcasing backend, AI, or automation expertise. - Multilingual Environment: Comfortable working in an international, English-first team with async communication. - Cloud: Solid understanding of AWS services (EC2, Lambda, RDS, S3, etc.). - DynamoDB is a big plus What we offer - Be part of building a cutting-edge Conversational Commerce platform poised for glob