Software Deployment Engineer - Docker/Kubernetes (2-4 yrs)

Software Engineer (Deployment Engineer).

Experience : 2-4 Years.

Location : Bangalore.

Notice : Immediate to 15 Days-.

Work From Office

As an SDE (Deployment), you will play a critical role in designing and optimizing deployment frameworks while collaborating with cross-functional teams.

You will write clean, maintainable code, create APIs, and develop software solutions that integrate seamlessly with machine learning workflows.

Responsibilities :

- Write clean, efficient, and maintainable code with good time and space complexity.

- Design algorithms to solve complex problems and tailor them to project requirements.

- Develop robust software solutions to support and enhance machine learning models and workflows.

- Collaborate with ML engineers and data scientists to integrate software with ML pipelines.

- Create APIs and microservices to expose functionalities of the deployment framework.

- Ensure software solutions are scalable, secure, and well-documented.

- Participate in code reviews and contribute to maintaining high coding standards.

- Optimize application performance through efficient resource utilization and design.

- Contribute to the design and implementation of asynchronous and stateless computing workflows.

- Implement message queue systems like RabbitMQ, Kafka, or Azure Service Bus to manage tasks efficiently.

Required Skills :

- Programming experience in Python with strong understanding of Data Structures and Algorithms (DSA).

- Experience with any major cloud platform (Azure, AWS, or GCP).

- Proficiency in containerization (Docker) and orchestration platforms like Kubernetes (AKS, EKS, or GKE).

- Hands-on experience with Infrastructure as Code (IaC) tools like Terraform, Bicep, or CloudFormation.

- Familiarity with message queue systems like RabbitMQ, Kafka, or Azure Service Bus.

- Basic understanding of MongoDB or other NoSQL databases.

- Experience with CI/CD pipelines using Azure DevOps, GitHub Actions, or Jenkins.

- Familiarity with asynchronous programming patterns and stateless service design.

- Proficiency in debugging and optimizing software for performance and scalability.