Staff/Senior Software Engineer, Infrastructure

 

Title of Role: Staff / Senior Software Engineer, Infrastructure
Location: San Francisco, CA or New York City, NY
Company Stage of Funding: Late-Stage / Growth (Well-Funded, ~$800M raised)
Office Type: Hybrid (Minimum 3 days/week onsite)
Salary: Competitive (Top-of-market, commensurate with experience) + Equity

---

Company Description

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.

---

What You Will Do

• 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

---

Ideal Candidate Background

• 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

---

Preferred

• 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

---

Compensation and 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

---

This role is ideal for engineers who thrive on solving complex infrastructure challenges, enjoy working on high-scale systems, and want to play a critical role in scaling a category-defining platform.