Software Engineer - Python/Kubernetes (6-8 yrs)

Role : Software engineer

Experience : 6-8years

Location : Pune/Hyderabad

Educational Qualification : Graduate.

Notice Period : immediate to 30Days.

Must Have Skills : Python and Kubernetes.

Job Description :

Key Responsibilities :

- Design, develop, and maintain high-quality, scalable, and maintainable Python applications.

- Deep expertise in Kubernetes, including : Container orchestration and management.

- Service discovery and load balancing.

- Experience with containerization technologies like Docker, including image building, management, and deployment.

- Strong understanding of DevOps principles and practices, including Continuous Integration/Continuous Delivery (CI/CD) pipelines using tools like Jenkins, GitLab CI/CD, or GitHub Actions.

- Infrastructure as Code (IaC) using tools like Ansible.

- Monitoring and logging of applications and infrastructure.

- Familiarity with networking concepts, including TCP/IP, DNS, and security best practices in distributed systems.

- Collaborate effectively with cross-functional teams (e.g., product, QA, operations) to deliver high-quality software solutions.

- Stay abreast of the latest advancements in Python, Kubernetes, and cloud technologies.

- Troubleshoot and resolve production issues promptly and effectively.

Required Skills :

- Solid understanding of object-oriented programming, data structures, algorithms, and Python libraries.

- In-depth knowledge of Kubernetes architecture, core concepts, and best practices.

- Hands-on experience with deploying, managing, and scaling applications on Kubernetes.

- Strong understanding of Docker and containerization principles.

- Experience with building, managing, and deploying Docker images.

- Experience with CI/CD pipelines (Jenkins, GitLab CI/CD, GitHub Actions), IaC tools (Ansible), and monitoring/logging tools.

- Solid understanding of networking concepts, including TCP/IP, DNS, and security best practices.

Desired Skills (Nice-to-Have) :

- Experience with big data technologies like Apache Spark.

- Experience with cloud platforms (AWS, Azure, GCP).

- Experience with microservices architecture.

- Knowledge of security best practices and vulnerability management.