Python Engineer

Overview

On Site

USD0 - USD0

Contract - W2

Skills

Python

Engineer

Job Details

Python Developer Automation, CI/CD, and Cloud Infrastructure

Location: Open (Hybrid/Remote options available)
Duration: 24 Months
Pay Rate:

Position Summary

We are seeking a Senior Python Developer with strong expertise in automation engineering, CI/CD pipeline development, and containerized deployments. This role focuses on designing and implementing scalable, reliable automation frameworks and cloud-native applications that improve efficiency, reduce deployment times, and enhance system performance across DevOps environments.

The ideal candidate brings hands-on experience with Python, Docker, Kubernetes, AWS, and modern CI/CD tools, with the ability to architect, code, and optimize systems that support large-scale, enterprise deployments.

Key Responsibilities

Design, develop, and deploy Python-based automation solutions to streamline operational workflows and infrastructure tasks.
Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI, ensuring fast and reliable code delivery.
Containerize applications with Docker and orchestrate multi-environment deployments through Kubernetes (Helm, Pods, Scaling, and Monitoring).
Develop RESTful APIs and microservices using Flask or FastAPI for internal and external system integrations.
Implement infrastructure-as-code (IaC) solutions using Terraform and support infrastructure provisioning on AWS (EC2, ECS, EKS).
Create custom scripts and automation frameworks to reduce manual processes and improve release velocity.
Integrate system monitoring and observability tools like Prometheus and Grafana to track application performance and health.
Collaborate with DevOps, QA, and product teams to ensure secure, efficient, and scalable system architecture.
Maintain technical documentation and contribute to process standardization across environments.

Required Qualifications

7+ years of experience in Python development, automation, and DevOps integration.
Strong expertise in Python scripting, libraries (NumPy, Pandas, Requests, Boto3, SQLAlchemy), and API development.
Proven background in CI/CD pipeline design, automation, and maintenance.
Hands-on experience with Docker and Kubernetes for application deployment and orchestration.
Proficiency in AWS cloud services, Linux/Unix environments, and infrastructure-as-code principles.
Familiarity with test automation frameworks (PyTest) and continuous integration testing.
Experience with version control systems (Git) and collaborative development workflows.
Strong analytical, troubleshooting, and documentation skills.

Preferred Qualifications

Experience with monitoring and logging frameworks (Prometheus, Grafana, ELK Stack).
Familiarity with security best practices in containerized and cloud environments.
Exposure to data-driven pipelines or ML-oriented workloads using Python.
Bachelor s degree in Computer Science, Engineering, or related discipline.

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