Python Software Engineer

Shree Narayani Networking Solutions Pvt Ltd; Wilmington (DE); On-site; USD 110,000 - 150,000; Full time

Job summary

Shree Narayani Networking Solutions Pvt Ltd is seeking a Python Software Engineer to design, develop, and maintain scalable backend solutions in a modern tech stack. You will build robust RESTful APIs, microservices, and data models, while collaborating across product, architecture, and DevOps teams.

The role emphasizes code quality, testing, and performance. The ideal candidate has strong Python experience (3.x), knowledge of frameworks (FastAPI/Flask/Django), experience with databases, and

Qualifications

• Bachelor's or Master's in CS/Engineering/IT.
• 5+ years of Python software development experience.
• Experience with REST APIs, microservices, and backend systems.
• Proficient SQL (PostgreSQL/MySQL/Oracle) and NoSQL (MongoDB/Redis).
• Strong Git, unit testing (PyTest), and async programming.
• Experience with Docker and CI/CD pipelines.
• Familiarity with cloud environments and DevOps practices.

Responsibilities

• Design, develop, and maintain scalable backend services using Python.
• Build robust APIs, microservices, and system integrations.
• Develop RESTful APIs and data models with databases.
• Write clean, tested, production-ready code and perform debugging.
• Collaborate with Product, Architects, DevOps, QA on architecture decisions.
• Participate in code reviews and CI/CD implementation.
• Monitor production apps and optimize performance.
• Contribute to technical docs and engineering best practices.

Skills

Python proficiency

OOP & data structures

APIs & microservices

SQL & relational databases

NoSQL databases

Git & version control

Unit testing (PyTest)

Async programming (asyncio)

Docker

CI/CD & DevOps

Debugging & performance

Education

Bachelor's or Master's in CS/Engineering/IT

Tools

FastAPI

Flask

Django

PostgreSQL

MySQL

Oracle

MongoDB

DynamoDB

Redis

Git

PyTest

Docker

Job description

Python Software Engineer

Location: Wilmington, DE/ NYC, NY (Onsite)

We are looking for an experienced Python Software Engineer to design, develop, and maintain scalable, high-performance software solutions. The ideal candidate should have strong hands-on expertise in Python development, backend engineering, API development, cloud technologies, and modern software engineering practices.

Key Responsibilities

• Design, develop, test, and maintain scalable applications and backend services using Python.
• Build robust and reusable components, APIs, microservices, and integrations.
• Develop RESTful APIs and integrate with internal and external systems.
• Write clean, maintainable, well-tested, and production-ready code.
• Troubleshoot complex technical issues and optimize application performance.
• Work with databases, data models, caching, and asynchronous processing.
• Implement secure coding practices, authentication, authorization, and API security.
• Collaborate with Product Managers, Architects, DevOps, QA, and other engineering teams.
• Participate in code reviews, technical design discussions, and architecture decisions.
• Develop automated unit, integration, and functional tests.
• Work with CI/CD pipelines and modern DevOps practices.
• Monitor applications in production and support troubleshooting and root-cause analysis.
• Contribute to technical documentation and engineering best practices.

Required Skills

• Advanced proficiency in Python with strong knowledge of Python 3.x.
• Strong understanding of object-oriented programming, data structures, algorithms, and design patterns.
• Experience with Python frameworks such as FastAPI, Flask, or Django.
• Strong experience developing REST APIs and microservices.
• Good understanding of SQL and relational databases such as PostgreSQL, MySQL, or Oracle.
• Experience with NoSQL databases such as MongoDB, DynamoDB, or Redis is preferred.
• Strong knowledge of Git and version-control practices.
• Experience with unit testing frameworks such as PyTest or unittest.
• Knowledge of asynchronous programming using asyncio and related Python frameworks.
• Experience with Docker and containerized application development.
• Understanding of CI/CD and DevOps practices.
• Strong debugging, problem-solving, and performance-optimization skills.

Core expectations (must have exposure across all):

• Software engineering: Proficiency in Python (preferred) or Java, with solid fundamentals (clean coding, testing, APIs, debugging, performance, and maintainability).
• Cloud engineering: Working knowledge of at least one public cloud provider-AWS preferred-including hands-on familiarity with deploying/running services, IAM/security basics, logging/monitoring, and common managed services.
• AI/ML exposure: Practical exposure to AI/ML concepts and workflows (e.g., model integration patterns, basic ML lifecycle understanding, evaluation basics), sufficient to ramp into agent development with minimal hand-holding.

Preferred experience (strong differentiators):

• Hands-on experience integrating with frontier model APIs (e.g., OpenAI or similar), including prompt design, tool/function calling, streaming, and reliability/cost considerations.
• Familiarity with advanced agent architecture concepts such as memory, guardrails/assurance, and MCP (Model Context Protocol) or similar patterns for tool interoperability.
• Experience with conversational/agent frameworks or platforms, such as LangGraph, CrewAI, Rasa, Decagon, or equivalent orchestration frameworks, including building multi-step workflows and tool-based agents

Education & Experience

• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
• Typically 5+ years of software engineering experience, with strong hands-on Python development experience.
• Experience working in Agile/Scrum development environments.
• Strong communication and collaboration skills.
• Ability to independently analyze complex technical problems and deliver scalable solutions.

Nice to Have

• Experience designing highly scalable distributed systems.
• Knowledge of system design and software architecture.
• Experience with event-driven and asynchronous architectures.
• Experience in financial services, enterprise applications, or other large-scale environments.
• Exposure to security, observability, and performance engineering