Hybrid Software Engineer – Product

at Keyera

• Job title: Software Engineer – Product
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: $170,000 - $230,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Cloud, Google Cloud Platform, Kubernetes, Python, Terraform, TypeScript
• Location requirements: Hybrid, San Francisco, United States

About the role

• Software Engineer designing and building a ML and AI native platform for healthcare. Contributing to critical components of the SaaS platform and enhancing user experience.

Responsibilities

• Develop key components of our multi-tenant SaaS platform, including Identity & Access Management, connector provisioning, and infrastructure enhancements to improve speed and service integration.
• Play a key role in the design and implementation of our APIs and data models, ensuring they meet the needs of diverse verticals and support both open/shared and customer-specific datasets effectively.
• Leverage existing foundational models and develop novel ML solutions to solve problems with complex, high dimensional healthcare data
• Build tools and agents to power our natural language analytics that enables rapid discovery of insights with source document traceability.
• Build a world-class user experience into the Midstream platform to provide actionable insights over large data sets.
• Implement and maintain robust security measures, including encryption and role-based access control, while ensuring compliance with standards like SOC 2 and HIPAA
• You will be a member of the founding engineering team working closely with the founders and have the opportunity to make big early impacts on our systems.

Requirements

• Excellent problem-solving skills with a knack for tackling complex technical challenges.
• Strong communication skills, capable of working collaboratively within cross-functional teams and articulating technical concepts to diverse audiences.
• Ability to thrive in a fast-paced environment, with resilience and effective task prioritization.
• Excellent coding abilities in high-level languages such as Python and Typescript
• Knowledge in building scalable SaaS platforms, including API design, CI/CD, multi-tenancy, RBAC
• Strong experience with cloud services (GCP, AWS) and infrastructure as code tools (Kubernetes, Terraform), with the ability to leverage cloud-native services for computing, storage, and ML applications.
• A bachelor's degree in Computer Science, Engineering, or a closely related field OR relevant software engineering experience

Benefits

• Offers Equity