DevOps Engineer

In this role, you will be part of the observability team and working on the latest cutting-edge tools and technologies as a first mover based on technology trends and in alignment with business objectives. You will be researching, learning and implementing innovative, creative and cost-effective ways to safely introduce new technologies to the Aidoc environment.

As part of the DevOps group, You will work in collaboration with the Developers, Data Engineers, Delivery and AI teams to empower them with the right monitoring, observability and reliability tools to achieve the companys goals.

Your main challenges will be:

Managing big data by building scalable observability solutions for logs, metrics and events.
Focusing on metrics collection in event-driven architectures, ensuring real-time visibility from high-volume data streams.
Developing adaptive alerting systems that reduce noise and provide actionable insights using dynamic thresholds and anomaly detection.

Responsibilities:
The companys entire cloud production observability infrastructure, including advanced cloud infra on AWS, with data pipelines, serverless deployments and container orchestration.
Promote infrastructure initiatives, improvement and designs, with focus on reliability, scalability and efficiency.
Establish metrics, logs and events streaming for data-driven decisions to help increase availability, reliability, and velocity.
Application and infrastructure monitoring solutions.
You will be trusted with autonomy, freedom and influence to design solutions and make technical decisions, in a critical position for the companys growth.
You will work in a unique professional culture championing close work between Dev TechOps, and ownership. Were literally tackling the challenges of bringing cutting edge cloud-based services to the healthcare world.