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Python Engineer @ Zensar

IndiaOnsiteFull-timeJob reference 150582
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About this role

At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.

Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.

We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status. Key Responsibilities

• Design, develop, test, and maintain robust Python applications and services. • Develop RESTful APIs and microservices using frameworks such as FastAPI, Flask, or Django.

• Write clean, reusable, and efficient code following best practices and coding standards.

• Collaborate with cross-functional teams to design and implement scalable software solutions.

• Optimize application performance, reliability, and security.

• Integrate applications with third-party APIs, databases, and cloud services.

• Troubleshoot, debug, and resolve production issues efficiently.

• Develop automated unit, integration, and performance tests.

• Participate in code reviews and mentor junior developers.

• Work in Agile/Scrum teams to deliver high-quality software within project timelines.

• Create and maintain technical documentation for applications and APIs.

• Support document processing, workflow automation, and data indexing solutions where applicable.

Required Skills Programming

• Python (Advanced) • Object-Oriented Programming (OOP) • Data Structures & Algorithms • Multithreading and Asynchronous Programming Web Frameworks

• FastAPI (preferred) • Flask • Django API Development

• REST APIs • JSON • OpenAPI/Swagger • API Security (OAuth2, JWT) Databases

• PostgreSQL • MySQL • MongoDB • Redis Cloud & DevOps

• AWS, Azure, or Google Cloud Platform • Docker • Kubernetes (preferred) • CI/CD pipelines • Git/GitHub/GitLab/Azure DevOps Messaging & Caching

• RabbitMQ • Apache Kafka (preferred) • Redis Cache • Celery Testing

• PyTest • Unit Testing • Integration Testing • Mocking Frameworks Development Tools

• Visual Studio Code (VS Code) • PyCharm Required Experience

• 5–10 years of hands-on experience in Python application development. • Strong experience developing RESTful APIs using FastAPI, Flask, or Django.

• Experience with relational and NoSQL databases.

• Knowledge of microservices architecture and distributed systems.

• Experience with cloud platforms such as AWS, Azure, or GCP.

• Familiarity with containerization using Docker and orchestration with Kubernetes.

• Experience implementing CI/CD pipelines and version control using Git.

• Strong debugging, troubleshooting, and performance optimization skills.

• Experience working in Agile/Scrum environments.

Good to Have

• Basic understanding of Generative AI concepts and LLM usage.

• Experience with prompt engineering for classification, extraction, or summarization tasks.

• Familiarity with embeddings, semantic search, or retrieval-augmented generation (RAG).

• Exposure to OCR tools, PDF/document parsing, or workflow automation.

• Experience building AI-assisted features or human-in-the-loop review workflows.

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