Principal Software Engineer - Infrastructure at Curative AI

Bellevue, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

18 Jul, 26

Salary

220000.0

Posted On

19 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud infrastructure, AWS, Azure, Docker, Kubernetes, Terraform, Python, SQL, CI/CD, Observability, System security, Data encryption, HIPAA compliance, SOC 2 compliance, Infrastructure-as-code, Distributed systems

Industry

Software Development

Description

About Curative AI, Inc. Curative AI, Inc. is an ambitious innovative early-stage startup revolutionizing the healthcare industry through cutting-edge AI-powered SaaS solutions. We are currently delivering exceptional value to our customers in Revenue Cycle Management (RCM) and Clinical Operations, empowering them with industry-transforming AI technology, intelligent automation, and deep data insights. Unlike most tech startups, we have achieved financial break-even within our first year, with signed customer contracts for $30+M in 2025 projected revenues through our AI healthcare solutions deliveries. Headquartered in Bellevue/Seattle, we have built a sizable top-notch tech team in the US, and a large talented offshore team. We are now entering a rapid growth phase, hiring aggressively to scale the US-based team to 100+ employees in 2025. Our vision is bold: to achieve a valuation of over $1 billion within the next 18 months by continuing to deliver exceptional solutions and expanding our market presence. This is an exceptional opportunity to join an early-stage AI Healthcare tech company with a proven product, established customer base, solid revenue streams, and explosive growth potential. The Opportunity We’re seeking a Principal Infrastructure Engineer to lead the design, implementation, and optimization of our cloud-native infrastructure. You’ll be the hands-on technical expert driving reliability, scalability, and performance across our distributed systems. This role is ideal for someone who thrives in fast-paced environments, enjoys solving complex infrastructure challenges, and wants to make a direct impact on AI-powered healthcare delivery. Responsibilities Architect and maintain scalable, secure, and highly available cloud infrastructure across AWS and/or Azure. Design and implement containerized environments using Docker and Kubernetes (EKS preferred). Build and manage infrastructure-as-code pipelines using Terraform or ARM templates. Implement structured logging, metrics, and alerting for observability and troubleshooting. Collaborate with engineering, data, and security teams to align infrastructure with product needs. Optimize cloud environments for performance, cost, and resilience. Lead root cause analysis and post-incident reviews for infrastructure-related issues. Ensure compliance with HIPAA, SOC 2, and other regulatory standards. Drive automation across the infrastructure stack to eliminate toil and accelerate deployments. Support CI/CD pipelines and ensure reliable, secure code delivery. Contribute to cloud cost forecasting and optimization strategies. Stay current with emerging technologies and evaluate their applicability to our platform. Qualifications Located in the Seattle Metro Region and able to work hybrid onsite at our Bellevue office. Bachelor's degree in Computer Science, Engineering, or related field. 5 – 8 + years of experience in cloud infrastructure engineering or a related role Deep expertise in AWS and/or Azure cloud platforms, including networking and security. Experience with Databricks, data lakes, and high-throughput data architectures is a plus. Strong programming skills in Python and SQL. Hands-on experience with containerization (Docker), orchestration (Kubernetes), and virtualization. Familiarity with CI/CD tools and observability platforms (e.g., Prometheus, Grafana, Datadog). Knowledge of system security practices, identity/access management, and data encryption. Experience with regulatory compliance frameworks (HIPPA, SOC 2). Certifications such as AWS Certified Solutions Architect or Azure Solutions Architect Expert are a plus. Healthcare experience, especially with RCM systems, is highly desirable. Strong analytical, troubleshooting, and communication skills. Self-driven, collaborative, and committed to engineering excellence. Compensation and Benefits: Base Salary Range: $185,000 - $220,000 (commensurate with experience and qualifications) Target Annual Performance Bonus Equity Package: Generous equity participation in the company's future success Comprehensive benefits package including medical, dental, vision, Life and AD&D insurance; 401K; paid time off and holidays Opportunity to work on cutting-edge AI projects and make an impact on the company's success Chance to make a real impact on the company’s AI strategy and innovation Curative AI, Inc. is an Equal Opportunity Employer (EEO) and does not discriminate on the basis of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, political affiliation, disability, genetic information (including family medical history), age, marital status, veteran status, or other non-merit-based factors. Curative AI, Inc. does not currently sponsor H1B visas and therefore candidates must be legally authorized to work for any employer in the United States on a full-time basis and not require current or future visa sponsorship for employment. Curative AI, Inc. is committed to creating a diverse and inclusive workforce. We value the unique perspectives and talents that each individual brings to our company, and we are committed to providing an environment where all employees feel respected, valued, and empowered to reach their full potential. We encourage qualified individuals from all backgrounds to apply for our open positions.

Responsibilities

The Principal Infrastructure Engineer will lead the design, implementation, and optimization of cloud-native infrastructure to ensure reliability and scalability. They will drive automation, manage containerized environments, and collaborate with cross-functional teams to support AI-powered healthcare solutions.