Company: Simpliigence

Website: Visit Website

Business Type: Consulting Firm

Company Type: Service

Business Model: B2B

Funding Stage: Bootstrapped

Industry: IT Services

Salary Range: ₹ 7-24 Lacs PA

Role Overview We are looking for a highly skilled Python Backend Engineer with deep expertise in core Python internals, concurrency models, and large-scale microservices architectures . The ideal candidate has strong hands-on experience designing, building, and scaling distributed systems on AWS and Kubernetes in production environments.

Key Responsibilities

- Design, develop, and maintain high-performance Python microservices
- Build scalable and fault-tolerant distributed systems
- Design clean and efficient REST/gRPC APIs
- Implement service-to-service communication using events, messaging, and queues
- Optimize application performance, reliability, and scalability
- Deploy and manage services on AWS and Kubernetes (EKS)
- Collaborate closely with DevOps and platform teams for CI/CD and infrastructure automation

Required Skills & Expertise Core Python (Hardcore Level)

- Deep understanding of metaclasses and class object lifecycle
- Advanced class construction and OOP design patterns
- Robust knowledge of magic methods (__dunder__ methods)
- Expertise in context manager design




- Strong grasp of Python internals and memory model

Concurrency & Parallelism

- AsyncIO
- Multiprocessing
- Multithreading

Microservices Architecture

- Designing and implementing multiple microservices at scale
- API design – REST & gRPC

Service-to-service Communication

- Events
- Messaging
- Queues

Cloud & Infrastructure (AWS) Hands-on Experience With

- EKS (Kubernetes)
- EC2, VPC, IAM
- S3, SQS, SNS, Lambda
- CloudWatch, X-Ray

Kubernetes fundamentals

- Deployments
- Services
- HPA
- Ingress
- ConfigMaps & Secrets
- Docker containerization
- CI/CD pipelines: GitHub Actions / GitLab CI / Jenkins (or similar)

Scalability & Performance

- Horizontal scaling of microservices
- Performance profiling and optimization
- Caching strategies:
- Redis / ElastiCache
- Distributed system design patterns

Nice to Have

- Infrastructure as Code:

- Terraform or CloudFormation
- Streaming & Messaging:

- Kafka or Kinesis

- Service Mesh

- Istio / Linkerd

- Experience with

- Distributed locking

- Rate limiting

- Idempotency design

Education & Experience

- 5+ years of professional Python development
- 5+ years of experience building and running microservices in production
- Proven experience deploying and scaling services on AWS

📌 Senior Software Engineer (Bengaluru)
🏢 Simpliigence
📍 Bengaluru