Senior Software Engineer

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

Job Description 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
• Strong 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