We are seeking a highly skilled and experienced Senior Python Full stack Developer with a strong DevOps mindset to join our dynamic team. The ideal candidate will have a proven track record of over 12 years in software development, with a focus on building and maintaining scalable, high-performance applications and infrastructure. This role is critical to supporting both our development teams and our core platform, requiring a deep understanding of modern cloud-native technologies, including Kubernetes, containers, and CI/CD pipelines.

Responsibilities:

• Application Development: Design, develop, test, and deploy robust and scalable backend services and applications using Python.
• Platform Engineering: Architect, build, and maintain our containerized infrastructure on Kubernetes, ensuring reliability, scalability, and security.
• CI/CD Automation: Own and enhance our CI/CD pipelines to improve automation, reduce deployment friction, and increase delivery speed.
• DevOps Leadership: Champion DevOps best practices across the engineering organization, and mentor other engineers in areas of automation, containerization, and infrastructure management.
• System Architecture: Collaborate with architects and development leads to design and implement solutions that are aligned with our long-term technical vision.
• Troubleshooting & Support: Provide expert-level support for our production and development platforms, diagnosing and resolving complex issues related to application performance, infrastructure, and deployments.
• Collaboration: Work closely with cross-functional teams to understand requirements, provide technical guidance, and deliver high-quality software solutions.

Recommended Qualifications:

• Experience: A minimum of 12 years of professional experience in software development, with a significant focus on Python.
• Python Expertise: Mastery of Python and its ecosystem, including experience with common frameworks (e.g., Django, Flask, FastAPI) and libraries.
• Kubernetes: Deep, hands-on experience with Kubernetes, including cluster management, application deployment (Helm charts), and monitoring.
• Containers: Proficient in containerization technologies, primarily Docker, including building optimized and secure container images.
• CI/CD Pipelines: Extensive experience designing, building, and managing CI/CD pipelines using tools such as Tekton, Harness, uDeploy, Jenkins, GitLabs etc.
• Cloud Platforms: Strong experience with at least one major cloud provider (AWS, GCP, Azure).
• Problem-Solving: Excellent analytical and problem-solving skills, with the ability to debug complex issues in a distributed systems environment.

Preferred Qualifications (Good to Have)

• GenAI/AgenticAI Development: Exposure to GenAI/AgenticAI development, with a basic understanding of frameworks like TensorFlow, PyTorch, or scikit-learn.
• Frontend Exposure: Familiarity or hands-on experience with modern frontend frameworks, particularly React.
• Infrastructure as Code (IaC): Experience with IaC tools like Terraform or Ansible.
• Monitoring & Observability: Knowledge of monitoring and logging tools such as Prometheus, Grafana, the ELK Stack.
• Networking: Solid understanding of networking principles as they apply to containerized environments and cloud infrastructure.
• Security: Experience with security best practices for applications and infrastructure.

Education:

• Bachelor’s degree/University degree or equivalent experience
• Master’s degree preferred

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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