Python Developer

Precision Technologies; United States; Hybrid; USD 120,000 - 150,000; Full time

Job summary

Precision Technologies is seeking a Python-focused backend engineer to design, develop, test, and maintain scalable enterprise applications. The role emphasizes RESTful APIs, microservices architecture, and robust data handling with SQL/NoSQL databases.

You will containerize services with Docker, deploy on Kubernetes, and contribute to CI/CD pipelines. Collaboration with data engineers, QA, and DevOps is essential throughout the SDLC.

Qualifications

• Proficient in Python programming and modern frameworks.
• Experience designing RESTful APIs and microservices.
• Familiarity with Docker, Kubernetes, and cloud deployments.

Responsibilities

• Design, develop, test, and maintain scalable enterprise applications using Python.
• Develop secure RESTful APIs and microservices.
• Build and optimize database solutions with SQL/NoSQL.
• Containerize apps with Docker and deploy on Kubernetes.
• Create and maintain CI/CD pipelines (e.g., Jenkins, GitHub Actions).
• Collaborate with analysts, data engineers, and DevOps throughout SDLC.
• Troubleshoot issues, optimize performance, and provide production support.

Skills

Python

RESTful APIs

Microservices

SQL

NoSQL

Unit testing

Tools

Docker

Kubernetes

CI/CD

Cloud platforms

Job description

Location: United States (Onsite / Hybrid / Remote – Based on Client Requirement)

Visa: Open to all work-authorized candidates except H1B

Key Responsibilities:

• Design, develop, test, and maintain scalable enterprise applications using Python.
• Develop secure and high-performance RESTful APIs and Microservices using FastAPI, Django, Flask, or similar Python frameworks.
• Design, develop, and optimize database solutions using SQL and NoSQL technologies.
• Integrate third‑party APIs, cloud services, enterprise applications, and external data sources.
• Develop automation scripts, data processing workflows, background jobs, and asynchronous applications using Python.
• Implement authentication, authorization, security controls, logging, error handling, and application monitoring.
• Develop and maintain unit tests, integration tests, code reviews, and automated testing frameworks.
• Containerize applications using Docker and deploy scalable workloads using Kubernetes and cloud platforms.
• Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps.
• Collaborate with Business Analysts, Data Engineers, Data Scientists, QA Engineers, DevOps Engineers, and Architects throughout the SDLC.
• Troubleshoot production issues, perform root cause analysis, optimize application performance, and provide ongoing production support.

Contact:

Mahesh Kyadari, Lead – Talent Management Team