Python Engineer
2 days ago
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.
- 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.
- 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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