Freelance Consultant- Python Developer

Our client, a leading Procurement intelligence company which deals into various domain inclusive of Supply chain, procurement, Market Research etc is seeking a Senior Backend Engineer to design and develop scalable backend systems and APIs that power critical business applications. You will play a key role in shaping our system architecture, with a strong focus on serverless computing using AWS services.

This role requires both technical leadership and hands-on implementation, ensuring our infrastructure is robust, secure, and highly available.

You'll collaborate closely with frontend developers, data scientists, and product managers to deliver seamless end-to-end solutions.

Key Responsibilities:

• Design, develop, and maintain secure and scalable backend services, APIs, and microservices
• Architect and implement backend systems using serverless patterns (e.g., AWS Lambda, API Gateway, DynamoDB, SQS, SNS).
• Optimize performance and ensure reliability of backend components at scale.
• Build reusable, well-documented modules and libraries for internal and external integrations.
• Collaborate with cross-functional teams to define and deliver complete solutions.
• Collaborate with cross-functional teams (design, product, backend, and data) to deliver well-integrated solutions.
• Document architecture, APIs, and system behavior for internal reference and onboarding.
• Stay up to date with industry trends and emerging backend/cloud technologies.

Skills Required

• 5+ years of professional experience in backend software development, with deep expertise in Python
• Proven experience building serverless applications on AWS, including use of Lambda, API Gateway, DynamoDB, S3, Event Bridge, Step Functions, and other AWS services
• Additional proficiency in at least two of the following languages: TypeScript, JavaScript, Java.
• Solid understanding of backend architecture patterns, including microservices and event driven systems.
• Experience designing and managing SQL and NoSQL databases.
• Familiar with Infrastructure as Code tools such as AWS CDK, CloudFormation, or Terraform.
• Strong grasp of software engineering principles, security best practices, and scalable design.
• Comfortable working with Git-based workflows and CI/CD pipelines
• Excellent problem-solving and debugging skills
• Strong communication and collaboration abilities.
• Effective written and oral communication skills in English

Bonus Qualifications

• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Familiarity with monitoring and observability tools like CloudWatch, Datadog, ELK, or Prometheus/Grafana.
• Knowledge of GraphQL, gRPC, or WebSocket protocols.
• Exposure to DevOps or SRE practices