Senior Backend Engineer (Python+Cloud)

We are looking for a highly skilled Backend Engineer to design, develop, and scale robust backend platforms and applications. The ideal candidate will have strong expertise in backend engineering, distributed systems, and cloud-native architectures. This role requires hands-on experience in building scalable services, optimizing cloud infrastructure, and ensuring reliability, observability, and security in production environments.

The core responsibilities for the job include the following:

Backend Engineering and Platform Development:

• Design, develop, and maintain scalable backend services using Python, FastAPI, and asynchronous microservices architectures.
• Build and optimize data-intensive applications using PostgreSQL, Redis, MongoDB, or equivalent technologies at production scale.
• Develop high-performance APIs and distributed systems to support AI-driven applications.

Cloud Infrastructure and DevOps:

• Architect and manage cloud-native applications on AWS or GCP.
• Deploy and operate services using ECS, EKS, Lambda, Cloud Run, GCP (GKE), and other cloud-native technologies.
• Implement and manage Infrastructure as Code (IaC) using Terraform or equivalent frameworks like Pulumi or CloudFormation.
• Build and optimize CI/CD pipelines for reliable and automated deployments.
• Experience with Apache Kafka for building event-driven, scalable, and distributed systems.
• Manage and troubleshoot containerized applications using Docker and Kubernetes, ensuring scalability, availability, and performance.

Monitoring and Observability:

• Instrument backend services end-to-end with metrics, distributed tracing, and structured logging using OpenTelemetry
• Hands-on with some observability stacks: Prometheus + Grafana, Datadog/New Relic, and centralized logging (ELK/Loki)
• Build actionable dashboards and alerting to detect latency, errors, and resource bottlenecks before customer impact

Requirements:

• 4+ years of experience in backend development.
• B. E. /B. Tech. /B. S. Candidates with significant prior experience in the fields above will be considered.
• Strong experience in Python development and FastAPI.
• Hands-on experience with asynchronous microservices architectures.
• Expertise in PostgreSQL, MongoDB, Redis, and distributed backend systems.
• Experience with AWS or GCP cloud platforms and Infrastructure as Code (Terraform, CloudFormation, or equivalent).
• Hands-on experience with Docker and Kubernetes for deploying and managing containerized applications.
• Experience with Apache Kafka for messaging, event-driven, and distributed systems.
• Strong understanding of CI/CD pipelines and DevOps best practices.
• Guardrails in production: model fallback routing, prompt-injection defense, and token cost budgets.
• Demonstrated an ownership mindset with the ability to drive projects and deliver high-quality solutions.
• Experience mentoring team members, conducting code reviews, and sharing best practices.