Sr. Python Developer

• Design, develop, and maintain scalable backend applications using Python (Django, Flask, or similar frameworks)

• Build secure, high performance RESTful APIs

• Ensure code quality through standards, reviews, and best practices

• Infrastructure & Automation

• Lead development of automation solutions for load balancing and network infrastructure

• Integrate backend systems with infrastructure tools and platforms (F5, DNS, cloud services)

• Develop scripts and tools to reduce manual operations and improve efficiency

• Design distributed systems that are scalable, fault tolerant, and highly available

• Collaborate with architecture teams to align solutions with enterprise standards

• Optimize system performance, latency, and throughput

• Implement and enhance CI CD pipelines for automated build, test, and deployment

• Promote infrastructure as code and automation-first approach

• Ensure high availability, disaster recovery readiness, and system resilience

• Collaboration & Delivery

• Work closely with cross functional teams including Network and Platform teams

• Participate in Agile ceremonies such as sprint planning, backlog grooming, and retrospectives

• Contribute to technical documentation and knowledge sharing

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• Min 7+ years of backend development experience

• Strong Python expertise with frameworks such as Django or Flask

• Deep understanding of load balancing, networking concepts, and distributed systems

• Experience with CI CD tools and Linux based environments

• Strong API design and development experience

• Hands on experience with automation and scripting

• Experience with cloud platforms (AWS, Azure, or GCP) and cloud native architecture

• Knowledge of containerization and orchestration (Docker, Kubernetes)

• Proficiency in infrastructure as code tools such as Terraform or Ansible

• Strong understanding of security best practices including authentication, authorization, and secure coding

• Experience with message queues and streaming systems (Kafka, RabbitMQ)

• Familiarity with database technologies (PostgreSQL, MySQL, NoSQL)

• Experience with monitoring and observability tools (Splunk, Prometheus, Grafana)

• Knowledge of version control systems such as Git and branching strategies

• Experience with performance tuning and system optimization

• Exposure to network automation and APIs for load balancers (F5, NGINX, etc.)

• Understanding of Agentic AI frameworks and architectures for building autonomous or semi-autonomous systems

• Experience integrating LLM based solutions into backend services using APIs (OpenAI, Azure OpenAI, or similar)

• Knowledge of AI orchestration frameworks (LangChain, Semantic Kernel, AutoGen, or similar)

• Ability to design multi agent workflows for automation and decision making use cases