Job Description :

About Ultrahuman :

Ultrahuman is the world's most comprehensive self-quantification platform. Ultrahumans products include the Ultrahuman Ring AIR, the world's lightest sleep-tracking wearable, Ultrahuman M1, a continuous glucose monitoring platform, Blood Vision, a preventive blood testing platform with the pioneering UltraTrace technology and Ultrahuman Home, a revolutionary health device for your home.

By collating a large set of biomarkers on an integrated platform, Ultrahuman is able to create a grand, unified view of the human body. For more information and updates on Ultrahuman, please visit ultrahuman.com or follow us on Facebook, Instagram, Twitter, LinkedIn, and YouTube.

About the role :

We are seeking a dynamic DevOps Engineer to join our Infrastructure team. This role involves working on infrastructure projects, optimizing cloud environments, and enhancing automation, security, and scalability. This role involves managing AWS-based production systems, implementing disaster recovery mechanisms, and ensuring high availability through automation and observability.

Responsibilities :

- Lead engineering projects from inception to completion, ensuring efficiency and scalability.

- Design, implement, and optimize data focused cloud infrastructure with a focus on automation, security, and high availability.

- Develop and maintain infrastructure-as-code pipelines to enforce automated compliance checks, security policies, and governance standards across all environments.

- Participate in operational responsibilities, including on-call rotation, incident response, triaging, and resolving production issues.

Requirements :

- 2- 6 years of experience as a DevOps Engineer, DevSecOps Engineer, Infrastructure Engineer, Site Reliability Engineer, or Systems Administrator.

- Experience in managing security and compliance related automations and pipelines.

- Expertise in configuration management and automation (e.g., Ansible, Terraform, OpenTofu).

- Familiarity with relational databases (e.g., PostgreSQL).

- Experience working with industry-standard observability tools for monitoring and performance optimization.