RESPONSIBILITIES:
- Lead the design, development, and operation of cloud infrastructure for the WHOOP Data Platform, ensuring scalability, security, reliability, and cost efficiency across AWS environments.
- Implement best practice infrastructure-as-code with tools like Terraform, CloudFormation, and AWS CDK to manage resources, automate deployments, and enforce compliance guardrails.
- Architect internal frameworks for secure data workflows, including encryption at rest/in transit, IAM policies, logging, and audit mechanisms.
- Enhance CI/CD tooling and platform automation for data services, analytics pipelines, and machine learning workflows across development and production environments.
- Champion observability and incident response practices, including monitoring, alerting, on-call workflows, and post-incident reviews.
- Mentor engineers across teams on cloud best practices, DevOps principles, and secure infrastructure design patterns.
- Own cross-organization initiatives that improve team velocity and infrastructure reliability at scale.
- Partner closely with Data Engineering, ML Operations, Security, and Compliance teams to translate regulatory requirements (e.g., HIPAA, GDPR) into actionable operational controls.
QUALIFICATIONS:
- 8+ years of experience in DevOps, Cloud Engineering, SRE, or related roles with increasing scope and responsibility.
- Deep hands-on expertise with AWS infrastructure, including services like IAM, VPC, EC2, EKS, S3, RDS, Lambda. Experience with multi-account architectures is a plus.
- Advanced proficiency in infrastructure-as-code frameworks such as Terraform, CloudFormation, or AWS CDK.
- Strong background in CI/CD pipeline development, infrastructure automation, and platform operations at scale.
- Proven experience building and maintaining compliant systems aligned with standards like HIPAA and GDPR.
- Excellent communication and collaboration skills, with a history of guiding decisions across engineering, data, and security teams.
- Demonstrated ability to mentor and influence engineers to raise infrastructure and operational standards.
- Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.
