About The Company:
Remidio is a global pioneer in AI-driven eye care, transforming healthcare with innovative ophthalmic equipment. As India’s first to secure CDSCO approval for adaptive ophthalmic AI and CE marking under EU-MDR, we lead early detection of diseases like diabetic retinopathy, glaucoma, and AMD, with ambitions to address systemic conditions like CVD and CKD. Our FDA-registered devices have screened over 16 million patients across 40+ countries, delivering fast, precise diagnoses. Founded 15 years ago with a vision to democratize preventive care, Remidio combines innovation and empathy to make quality healthcare accessible worldwide.
About the Job :
We are seeking a skilled and motivated DevOps Engineer to join our Product & AI team. The ideal candidate will have hands-on experience in designing, developing, and deploying AI and Data first Infrastructure. You will work closely with ai engineers, software engineers, clinical scientist and product managers to implement intelligent solutions that drive innovation and deliver business value at scale.
Key Responsibilities:
- Design, build and maintain hybrid cloud and on-premises infrastructure across global data centers to meet data residency requirements.
- Implement Infrastructure as Code (IaC) using Terraform and CloudFormation to automate provisioning, updates, and decommissioning.
- Design, build and operationalise CI/CD processes with tools like Bazel and Jenkins, ensuring reliable and efficient deployments.
- Configure and monitor observability tools (Zabbix, Datadog), set up alerts, and maintain centralized logging.
- Work with dashboards (Grafana, Metabase) and integrate product analytics tools (Amplitude, MixPanel, Countly) to track system and usage metrics.
- Deploy and manage containerized applications with Docker and Kubernetes.
- Enforce security best practices, RBAC, and compliance protocols.
- Handle day-to-day incident resolution, escalate issues as needed, and support playbook execution.
- Contribute to cost efficiency efforts such as lifecycle management and usage optimization.
Required Qualifications:
- Bachelor's or Master’s degree in computer science, engineering, or a related field.
- 0-2 years in front end and/or visual design software engineering and development.
- Proven experience as a DevOps Engineer, with a strong background in software engineering and in depth knowledge of Cloud Platforms – GCP, Microsoft Azure and AWS.
- Certifications such as AWS/GCP/Azure Certified DevOps Engineer are highly desirable.
- Proficiency with DevOps tools and practices, including CI/CD, IaC (Infrastructure as Code), and automation tools like Terraform and CloudFormation.
- Proficiency in Git/GitHub.
Preferred Skills:
- Experience in healthcare or imaging (e.g., DICOM, HL7/FHIR)
- Strong analytical and problem-solving skills
- Good communication and collaboration abilities
Why Join Us:
- Work on cutting-edge AI problems that have real-world impact
- Be part of an innovative and collaborative tech team
- Competitive salary, benefits, and learning opportunities
