DevOps Engineer

About Opmed.ai

Opmed.ai is an innovative startup dedicated to improving the efficiency and resilience of healthcare operations. Our mission is to help healthcare providers deliver better care to their patients by optimizing planning, scheduling, and operations through the use of AI, Network science, and advanced optimization algorithms. We are seeking a highly skilled and motivated DevOps Engineer to join our team in Raanana, Israel.

Role Description:

• Design and implement end-to-end CI/CD pipelines.
• Build and manage cloud infrastructure on AWS using Crossplane/Terraform and Infrastructure as Code principles.
• Define and maintain scalable Serverless and EKS-based environments (Kubernetes, Docker, ArgoCD, Terraform).
• Promote best practices in monitoring, security, and reliability across development and production environments using Prometheus and Grafana.
• Collaborate closely with R&D and development teams to optimize deployment and configuration management processes.
• Take full ownership of cloud Networking, including deep understanding of VPCs, Subnets, Load Balancing, VPN, DNS, and Security Groups.
• Implement and automate model training, validation, and deployment pipelines, enabling rapid experimentation and reliable rollout of new ML models.
• Manage and optimize data pipelines and storage for model inputs and features (S3, Glue, Athena, or similar).
• Collaborate closely with Data Science and ML Engineering teams to streamline workflows for feature engineering, model versioning, and inference.

Promote best practices in model reproducibility, governance, and continuous improvement across all ML lifecycle stages.

• At least 4 years of hands-on experience as a DevOps Engineer in cloud environments- mandatory.
• Proven experience with AWS Cloud and Infrastructure as Code - mandatory.
• Experience with Lambda, Kubernetes, Helm, ArgoCD, and Docker - mandatory.
• Experience with CI/CD tools (GitHub Actions / GitLab CI) - mandatory.
• Experience with system monitoring (Prometheus, Grafana) - mandatory.
• Strong knowledge of Networking and VPN setup at an advanced level - advantage .
• Self-learner, proactive mindset, and strong system-thinking abilities.
• Practical MLOps experience — managing CI/ML pipelines, deploying ML models, automating model retraining, and monitoring model performance in production.
• Strong understanding of data and model lifecycle management, including versioning, artifact storage, and reproducibility.
• Familiarity with Python-based ML environments and containerized model serving (FastAPI, TorchServe, or similar) — advantage.

We're a well-funded startup whose product is deployed in leading healthcare organizations in the US. We like fun and super-smart people, and we're pretty serious about making healthcare radically better.

At Opmed.ai, we believe in the importance of fostering a diverse and inclusive workplace culture. We are proud to be an equal-opportunity employer, and we value diversity and inclusivity in our workplace. We believe that everyone should have an equal opportunity to succeed, regardless of their gender, race, ethnicity, age, disability, sexual orientation, gender identity or expression, cultural background, religious beliefs, or any other characteristic protected by federal, state, or local laws.

We offer a dynamic and fast-paced environment, where you will have the opportunity to work on meaningful projects that have a real impact on our clients.

If you are passionate about problem solving, looking for a meaningful role in healthcare, and have a proven track record of building high-quality software, we'd love to hear from you!