Cloud Engineer

Job Summary
AirStrip is seeking a Senior Cloud Engineer with deep expertise in serverless-first, event-driven cloud architectures. In this remote role, you will design, build, and maintain cloud platforms supporting healthcare data ingestion and analytics workflows. Your work enables high-fidelity waveform processing and data delivery to analytics algorithms, helping clinicians make faster, more informed decisions. This is a unique opportunity to combine cloud engineering expertise with meaningful healthcare impact.

Key Responsibilities

• Architect, build, and maintain serverless cloud systems for data ingestion, storage, indexing, and runtime environments for healthcare analytics.

• Develop scalable event-driven pipelines using API gateways, object storage, and message queues.

• Implement indexing and metadata systems with serverless functions and NoSQL databases for fast querying and data validation.

• Ensure data completeness and feed signal processing pipelines to analytics models.

• Manage runtime orchestration for executing data science workloads with serverless functions.

• Automate deployments using CI/CD tools like CircleCI or GitHub Actions and support containerized jobs with Docker/Watchtower.

• Implement monitoring, alerting, and distributed tracing for high availability and cost-efficient architectures.

• Collaborate with data scientists and clinical teams to align infrastructure with analytics requirements.

• Maintain documentation, operational playbooks, and compliance practices.

Education & Experience Requirements

• Bachelor’s Degree in a related field or equivalent experience.

• 5+ years as a Cloud Engineer, Solutions Architect, or related role.

• Proven experience in architecting serverless and event-driven systems.

• Experience with CI/CD pipelines for automating serverless and infrastructure deployments.

Required Skills & Abilities

• Hands-on expertise with cloud components: API gateways, serverless functions, object storage, message queues, and NoSQL databases.

• Proficiency in Python for serverless development and data processing.

• Knowledge of data partitioning, metadata indexing, and lifecycle management in cloud storage.

• Familiarity with Docker and container automation tools (e.g., Watchtower).

Preferred Skills & Abilities

• Experience with high-volume time-series or waveform data.

• Knowledge of healthcare data standards (HL7 FHIR, JSON-based clinical data).

• Real-time analytics, signal processing, and data completeness validation experience.

• Familiarity with HIPAA, HITRUST, or other healthcare compliance standards.

• Experience with JavaScript/Node.js for serverless development.

• Knowledge of SQL for data querying and analysis.

• Terraform or other infrastructure-as-code experience.

• Experience with major cloud platforms (AWS, Azure, GCP).

Compensation & Benefits

• Base salary: $115,000 – $140,000, plus bonus potential (remote US-based).

• Paid Time Off / Flex Time Off programs.

• 401(k) with 3% company match.

• Paid holidays and parental leave.

• Comprehensive medical, dental, vision, life, and disability insurance.

• Employee wellness programs and learning platform access.

• Discounts on cell phone plans and additional perks.