Staff/Senior Software Engineer, Infrastructure
About The Position
Our client is a category-defining AI healthcare company building cutting-edge infrastructure to power real-time clinical insights from medical conversations. Their platform leverages advanced machine learning and large-scale distributed systems to transform unstructured healthcare data into actionable intelligence for providers. With significant funding, rapid enterprise adoption, and a world-class team spanning engineering, AI research, and clinical expertise, the company is scaling aggressively. This is a rare opportunity to join a high-growth environment solving deeply meaningful problems at the intersection of healthcare, AI, and infrastructure.
Requirements
- 9+ years of backend or infrastructure engineering experience
- Strong experience building and scaling distributed systems in production environments
- Deep expertise in performance optimization, system scalability, and reliability engineering
- Proficiency in languages such as Python or TypeScript
- Hands-on experience with cloud-native technologies (e.g., Kubernetes, GCP, Terraform)
- Track record of improving system performance, reducing latency, and enabling scale
- Experience working across teams to influence architecture and infrastructure decisions
- Strong ownership mindset with the ability to operate in complex, fast-scaling environments
- Excellent communication skills and ability to translate technical concepts across teams
Nice To Haves
- Experience with load testing, chaos engineering, and performance benchmarking
- Background in developer platforms, internal tooling, or platform engineering
- Familiarity with SLOs, error budgets, and production reliability frameworks
- Experience supporting multi-tenant or high-throughput systems
- Prior experience in high-growth startups or scaling environments
- Interest in AI/ML infrastructure or healthcare technology
Responsibilities
- Design and optimize large-scale distributed systems to improve performance, reliability, and scalability
- Build and integrate load testing and chaos engineering practices into CI/CD pipelines
- Identify latency and performance bottlenecks using observability, profiling, and monitoring tools, and implement solutions at the code level
- Drive architectural changes to migrate and scale applications across modern infrastructure (event-driven systems, cloud runtimes, databases)
- Partner with engineering teams to re-architect applications for multi-tenant, high-scale environments
- Develop internal developer tools and platform capabilities to improve engineering velocity
- Define and implement SLOs, error budgets, and system health metrics to support reliable deployments
- Improve incident response systems, observability, and operational excellence across teams
- Collaborate cross-functionally and embed with teams to guide infrastructure adoption and best practices
- Contribute to technical thought leadership through documentation, training, and potentially external community engagement
Benefits
- Competitive salary and equity package
- Opportunity to work on high-scale, mission-critical systems in a rapidly growing company
- Hybrid work environment in SF or NYC
- Work alongside top-tier engineers, researchers, and healthcare professionals
- Significant career growth opportunity in a hyperscaling environment
- Exposure to cutting-edge AI, cloud-native, and distributed systems challenges
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1-10 employees
