Creditsafe - Backend Engineer - Python & AWS

Note : If screened-in, you will be invited for initial rounds on 21st November 2026 (Saturday) in Hyderabad.

Backend Engineer - Python + AWS

Job Type : Full-Time

Department : Product Engineering

Location : Hybrid

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 :

- Strong 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 modern Product Engineering environment.