Sr. Python Developer

1 week ago


Bengaluru, Karnataka, India Grut technologies & Services Pvt ltd Full time ₹ 12,00,000 - ₹ 18,00,000 per year

Location: Bangalore

Mode: Hybrid (2–3 days/week WFO)

Experience Required: 7+ Years

Notice Period: Immediate to 14 Days

About the Role:

We're looking for a skilled Python Developer with strong fundamentals and hands-on experience in FastAPI, GCP deployments, and cloud-native microservices.

The ideal candidate will lead backend service design, deploy scalable applications on GCP/Kubernetes, and integrate real-time data streams using Kafka.

You'll collaborate across QA, DevOps, and Product teams while mentoring developers and driving engineering best practices in code quality, observability, and reliability.

Must-Have Skills:

  • Python (Concurrency, Logging, Modularity):
  • Hands-on with asyncio, threading, modular architecture, structured logging, and graceful shutdowns.
  • REST API Development (FastAPI preferred):

Strong experience building RESTful APIs with route separation, validation, and OpenAPI specs. Flask/Django REST exposure acceptable.

  • Cloud Platform (GCP preferred):

Deployed microservices using App Engine, Cloud Run, or GKE. Familiar with IAM, Stackdriver, and service-to-service authentication.Worked with consumers/producers, partitioning, retries, and offset management.Experience in containerization, multi-stage Dockerfiles, environment configs, and basic Kubernetes manifests.Led code reviews, mentored team members, and enforced modular, scalable coding standards.Solid understanding of data structures, algorithms, and complexity analysis.Good to Have:

  • Kafka (Streaming Pipelines):
  • Docker & Kubernetes (GKE):
  • Code Reviews & Mentorship:
  • CS Fundamentals:

  • FIX/FIXP-SBE Protocol exposure (trading/order-routing systems)

  • Helm chart deployment customization)
  • AI productivity tools (Copilot, ChatGPT for refactoring/log analysis)
  • BFSI / Trading system experience
  • AI/ML observability and anomaly detection exposure

Job Type: Full-time

Pay: ₹1,500, ₹1,800,000.00 per year

Work Location: In person


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