Senior Software Engineer – SourcingXPress
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Base Pay Range
- 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
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)
- 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, and 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.
Additional Information
- Seniority level: Mid‑Senior level
- Employment type: Full‑time
- Job function: Engineering and Information Technology
- Industries: Technology, Information and Internet