Akaike Technologies

Role : Backend Engineer (MLOps/DevOps).

Location : Bengaluru (On-site).

Experience : 4+ Years.

Job Description : .

- We are looking for a skilled Backend Engineer with a strong background in MLOps/DevOps to join our team.

- The ideal candidate will have at least 4 years of experience in developing web applications using frameworks like Django or FastAPI, coupled with expertise in deploying and maintaining machine learning and data-intensive applications.

- If you're passionate about building scalable, reliable, and secure backend systems while leveraging MLOps and DevOps practices, this is the perfect opportunity for you.

Responsibilities :

- Design, develop, and maintain backend systems for web applications using Django, FastAPI, or other Python web servers.

- Implement authentication and authorization mechanisms to ensure secure access to application resources.

- Have exposure to architectural concepts like microservices, monolith etc.

- Create end-to-end CI/CD pipelines to automate the deployment and testing of applications.

- Ensure adherence to security best practices and implement networking fundamentals to safeguard system integrity.

- Deploy and manage machine learning and data-intensive applications in production environments.

- Set up post-deployment monitoring using tools like Prometheus and Grafana to track system performance and health.

- Collaborate with cross-functional teams to define and implement SDLC concepts and best practices.

- Utilize programming skills in Python, shell scripting, and optionally Javascript to build robust and efficient backend solutions.

- Manage databases including Redis, MongoDB, and RDBMS to store and retrieve application data efficiently.

- Use version control systems like Git for code management and collaboration.

- Utilize deployment tools such as Jenkins and AWS CodeBuild to automate build and deployment processes.

- Work with cloud platforms, primarily AWS, and optionally GCP or Azure, for provisioning and managing infrastructure.

- Leverage containerization technologies like Docker and Kubernetes for packaging and deploying applications.

- Implement infrastructure provisioning using Terraform to manage cloud resources effectively.