DevOps Engineer :

Responsibilities :

- Design, implement, and manage scalable and reliable IoT infrastructure on Raspberry Pi OS, various backend services using Java and AI stack.

- Automate deployment, monitoring, and management of IoT applications.

- Collaborate with development teams to ensure continuous integration and continuous deployment (CI/CD) pipelines are efficient and effective.

- Manage various AWS services such as EC2, S3, Redis, RDS, Lambda, VPC, and Cognito.

- Manage various Cloud infrastructure using both Kubernetes (k8) and AWS stacks for both lower and production environments.

- Implement security best practices to protect both platform and IoT data and infrastructures.

- Develop and maintain infrastructure as code (IaC) using tools like Terraform, Ansible, or CloudFormation.

- Troubleshoot and resolve infrastructure-related issues along with operations and development teams.

- Monitor system performance, identify issues, and implement solutions to ensure high availability and reliability.

- Plan and provision on-demand and stable various Cloud infrastructures in AWS and other Clouds with guided planning, scoping, costing and visibility to whole platform infrastructures with cost optimizations and utilization efficiency.

- Stay up-to-date with the latest industry trends and technologies in DevOps.

- Familiarity with Dev SecOps, ML-Ops, and Git-Ops practices.

Requirements :

- Bachelor's degree in Computer Science, Engineering, or a related field.

- Strong knowledge of cloud platforms (AWS, Azure, GCP) and containerization technologies using Docker, Kubernetes, etc.

- Experience with CI/CD tools such as Jenkins, GitLab CI, or Circle CI.

- Proficiency in scripting languages (Python, Bash, Shell, etc.).

- Good understanding and hands-on experience with Networking, security, and system administration in AWS environment will be ideal.

- Excellent problem-solving skills and attention to detail.

- Strong communication and collaboration skills.

Preferred Qualifications :

- AWS Certified DevOps Engineer or other relevant AWS certifications.

- Proven experience as a DevOps Engineer, preferably in an IoT environment with a focus on AWS and experience with IoT protocols and technologies (MQTT, etc.).

- Knowledge of edge computing and related technologies.

- Experience with containerization technologies (Docker, Kubernetes).

- Experience with monitoring and logging tools (CloudWatch, Prometheus, Grafana or ELK stack).

- Certification in cloud platforms (AWS Certified DevOps Engineer, Azure DevOps Engineer, etc.).

- Hands-on experience with Gen-AI tools like Claude code, Open AI, etc.