We're looking for a Sr Implementation Engineer to join our Deployment team, someone who thrives on building resilient CI/CD pipelines, automating cloud infrastructure, and keeping our deployments rapid, secure, and reliable across on-premises and cloud environments.

What You'll Do

- Design, implement, and manage scalable CI/CD pipelines using GCP, AWS, Azure, and other tools to automate build, test, and deployment processes.
- Develop and maintain Infrastructure as Code using tools such as Terraform.
- Provision, configure, and manage cloud resources including App Services, Kubernetes Service, Virtual Machines, and Storage.
- Ensure smooth, automated deployments across environments with minimal downtime using modern deployment strategies.
- Implement monitoring, alerting, and logging solutions using cloud Monitor, Log Analytics, and Application Insights.
- Manage environment configurations and secrets securely using Key Vault and related tools.
- Collaborate with development, QA, and operations teams to streamline release cycles and improve delivery velocity
- Implement DevSecOps practices, ensuring secure pipelines and compliance with organizational policies.
- Analyze and optimize infrastructure and pipeline performance for cost-efficiency and reliability
- Maintain detailed documentation and troubleshoot issues related to deployments, infrastructure,



and pipelines.
- Monitor infrastructure and cost, identifying performance bottlenecks and cost-optimization opportunities.
- Respond to and perform root-cause analysis (RCA) of production incidents.
- Manage multiple projects across both on-premises and cloud deployments

What You Bring
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field
- 3+ years of experience, with a strong focus on Python, Azure, CI/CD, and deployment.
- Solid experience with cloud DevOps (Repos, Pipelines, Boards, Artifacts).
- Expertise with containerization and orchestration (Docker, Kubernetes (GKE/EKS), Helm).
- Experience with CI/CD concepts and tools (DevOps, Jenkins, GitLab CI/CD, ArgoCD).
- Knowledge of version control systems (Git).
- Familiarity with cloud monitoring and logging tools.
- Understanding of networking, security, and cloud architecture principles.
- Proficiency in Infrastructure as Code tools (Terraform).

- Good communication skills

Why CARPL.ai? Join a fast-growing healthtech company that's redefining how AI gets adopted in healthcare with real impact on patient outcomes worldwide. You'll work on the infrastructure powering AI deployments for hospitals and radiology networks globally.

📌 Implementation Engineer (New Delhi)
🏢 CARPL - Radiology AI Platform
📍 New Delhi