Backend Engineer – Python + AWS

About the Role
We are looking for a talented Backend Engineer with strong expertise in Python and cloud-native application development to join our Product Engineering team. The ideal candidate will have hands-on experience building APIs and backend services using Python, FastAPI and/or Flask, along with strong knowledge of PostgreSQL and AWS. You will work on highly scalable and distributed systems, solve complex engineering problems, optimize existing services, and contribute to building reliable cloud-native products. This role is ideal for engineers who enjoy taking ownership, working independently, and building systems that operate reliably at scale.

What You'll Do
• Design, develop, and maintain scalable backend services using Python.
• Build high-quality APIs and backend applications using FastAPI, Flask, or similar frameworks.
• Design robust API contracts, validation, error handling, and service integrations.
• Develop efficient database solutions using PostgreSQL.
• Design and optimize database schemas, SQL queries, indexes, and data-access patterns.
• Analyze and improve application and database performance.
• Develop services capable of operating reliably within distributed and scalable system architectures.
• Work with asynchronous processing, event-driven workflows, background jobs, and distributed workloads.
• Design and develop cloud-native solutions using AWS services such as ECS, Lambda, DynamoDB, RDS, SQS, and API Gateway.
• Apply best practices around scalability, availability, reliability, security, observability, and cost optimization.
• Use Terraform / Infrastructure as Code to manage cloud infrastructure.
• Work with CI/CD pipelines and modern software delivery practices.




• Troubleshoot complex technical and production issues and perform root-cause analysis.
• Participate in system design and architectural discussions.
• Write clean, modular, reusable, testable, and maintainable code.
• Develop unit and integration tests to ensure reliability and maintainability.
• Participate in code reviews and contribute to engineering standards.
• Collaborate with Frontend, QA, Product, DevOps, and other engineering teams.
• Independently take ownership of complex technical problems from analysis through implementation and delivery.
• Use AI-assisted development tools such as Cursor and GitHub Copilot to improve development efficiency, testing, debugging, refactoring, and documentation. What We're Looking For
• 3–8 years of professional experience in backend/software engineering.
• Strong programming experience with Python.
• Hands-on experience with FastAPI and/or Flask.
• Good understanding of Pydantic and data validation/modeling.
• Strong experience with PostgreSQL and SQL.
• Experience designing efficient database schemas and optimizing SQL queries.
• Hands-on experience with AWS cloud services.
• Experience with one or more of ECS, Lambda, DynamoDB, RDS, SQS, API Gateway.
• Understanding of distributed systems and scalable application architectures.
• Experience with Terraform or Infrastructure as Code.
• Familiarity with CI/CD pipelines and automated software delivery.




• Strong understanding of REST API design and backend architecture.
• Experience with Git and modern software development practices.
• Strong analytical and problem-solving skills.
• Good communication and collaboration skills. Good to Have
• Experience with Generative AI, LLMs, AI Agents, AI/ML, or AI-powered applications.
• Experience integrating AI capabilities into backend systems.
• Knowledge of event-driven and asynchronous architectures.
• Experience with Docker and containerized applications.
• Experience with application observability, monitoring, logging, and distributed tracing.
• Experience working with high-volume SaaS or enterprise applications.
• Practical experience using Cursor, GitHub Copilot, or similar AI development tools. What You'll Bring
• Robust individual contributor mindset with a high degree of ownership.
• Ability to independently analyze and solve complex engineering problems.
• Strong understanding of scalable and reliable system design.
• Focus on clean code, maintainability, performance, and reliability.
• Ability to optimize existing systems and identify opportunities for engineering improvement.
• Willingness to learn new technologies and continuously improve engineering practices.
• Strong communication and teamwork skills.
• Interest in applying AI and emerging technologies to improve software development and product capabilities. Why Join Us? You will work on cloud-native, scalable, distributed systems using modern technologies and AWS services. The role provides opportunities to contribute to system architecture, solve challenging engineering problems, and explore Generative AI and AI-assisted software engineering in a contemporary Product Engineering environment.

📌 System Engineer (Hyderabad)
🏢 Creditsafe Technology
📍 Hyderabad