Principal DevOps Engineer - AI

Our client is an AI-driven health-tech start-up on a mission to transform healthcare by leveraging artificial intelligence to improve outcomes, reduce inefficiencies, and empower clinicians and patients alike. Their platform uses cutting-edge machine learning and natural language processing technologies to make medical data more actionable, accurate, and useful in real time.

They are looking for a Principal DevOps/Platform Engineer to architect, scale, and optimize our AWS-based infrastructure and Kubernetes systems that serve as the backbone of our AI healthcare platform. This is a high-impact role where you’ll shape our cloud platform strategy and ensure the reliability, security, and scalability of our systems.

Responsibilities

• Lead the design, development, and management of scalable and secure AWS cloud infrastructure.

• Own and evolve our Kubernetes-based orchestration systems for deploying and managing microservices at scale.

• Build and optimize CI/CD pipelines to streamline development, testing, and deployment workflows.

• Collaborate with software engineers, data scientists, and security teams to ensure platform reliability and compliance with healthcare standards.

• Implement infrastructure as code (IaC) practices with tools such as Terraform or CloudFormation.

• Drive observability across systems (monitoring, logging, tracing) to ensure system health and proactive incident response.

• Establish best practices for cost optimization, high availability, disaster recovery, and performance tuning.

• Mentor and guide platform engineers while serving as a technical leader across the organization.

• Stay current with emerging cloud and containerization technologies to ensure our infrastructure evolves ahead of industry standards.

Qualifications

• 8+ years of experience in platform engineering, DevOps, or cloud infrastructure roles, with at least 3+ years in a leadership or principal-level position.

• Expert-level experience with AWS services (EC2, ECS/EKS, S3, RDS, IAM, Lambda, etc.).

• Deep expertise with Kubernetes and containerization technologies (Docker, Helm).

• Strong proficiency with Infrastructure as Code (Terraform, CloudFormation, or similar).

• Experience building CI/CD pipelines (GitHub Actions, Jenkins, ArgoCD, or equivalent).

• Strong background in observability, monitoring, and logging (Prometheus, Grafana, ELK, Datadog, etc.).

• Solid understanding of cloud networking, security, and identity management in regulated environments.

• Prior experience in health-tech, life sciences, or other regulated industries is highly desirable.

• Excellent problem-solving skills, ability to thrive in fast-paced environments, and a collaborative mindset.

Why Join?

• Work on cutting-edge AI technology with the potential to meaningfully impact healthcare outcomes.

• Be part of a mission-driven start-up where your contributions directly shape the platform’s success.

• Competitive compensation package, including equity.

• Flexible work environment with opportunities for growth and leadership.