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------------------------------------------------------
Job Family:Applications Development------------------------------------------------------
Time Type:Full time------------------------------------------------------
Most Relevant Skills Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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