Python Engineer

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.