Job Description
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.
- Experience working with at least one major cloud platform: AWS, Azure, or GCP .
- Understanding of cloud‑native application development and distributed systems.
- Experience with messaging/event‑driven technologies such as Kafka, RabbitMQ, or SQS is preferred.
- Familiarity with Kubernetes and container orchestration is a plus.
- Exposure to observability tools, logging, monitoring, and application performance management.
AI / Agentic AI – Preferred
- Exposure to Generative AI, LLMs, or AI‑enabled applications is preferred.
- Experience integrating LLM APIs or AI services into Python applications is a plus.
- Familiarity with frameworks such as LangChain, LangGraph, OpenAI SDK, or similar agentic AI frameworks is desirable.
- Understanding of API‑based integration with AI/ML platforms and model‑serving infrastructure is an advantage.
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
- 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.
#J-18808-Ljbffr
Job Tags