Team Lead for Infrastructure & Operations at Kasada, defending against fraud and automation threats. Leading infrastructure engineering and shaping engineering foundations for a high - traffic platform.
About the role
- Systems Engineer designing backend solutions at Midstream, transforming healthcare finance with AI-driven insights and robust architectures.
Responsibilities
- Build shared platform patterns and tooling that help engineers ship new backend services and workflows quickly, safely, and consistently.
- Strengthen the reliability of our production systems by improving observability, debugging, and resilience as we scale.
- Design infrastructure that is clean, reviewable, and repeatable—reducing one-off configurations and enabling faster iteration.
- Establish clear and scalable multi-tenant boundaries across data, compute, and identity to support enterprise healthcare customers.
- Help ensure the team can spend more time building new capabilities—and less time maintaining systems as customer usage and data volume grow.
- Build the agentic orchestration layer for tools and agents to power our natural language analytics that enables rapid discovery of insights with source document traceability.
Requirements
- You have strong instincts for designing distributed systems and scalable SaaS platforms, with a focus on clear ownership, isolation, and reliability.
- You’re deeply comfortable in modern cloud environments (AWS or GCP) and have experience using infrastructure-as-code tools like Terraform and Kubernetes.
- You treat infrastructure as software and care about developer experience.
- You’re a strong backend engineer who writes high-quality services and pipelines.
Benefits
- Impact from day one: Help define our product, processes, and customer experience from the ground up.
- User-focused culture: Spend real time with customers, shaping a product that reflects their world.
- High ownership: Drive ideas from discovery to delivery with autonomy and trust.
- Exceptional team: Work alongside experienced founders, engineers, and operators with deep healthcare and AI experience.
- Meaningful work: Build technology that helps healthcare systems operate smarter and sustain care for more people.
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