Python Engineer

2 days ago


Iselin, NJ, United States Strategic Staffing Solutions Full time
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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