Salary
💰 $180,000 - $250,000 per year
Tech Stack
AWSCloudDistributed SystemsGoGoogle Cloud PlatformJavaPythonRust
About the role
- Design, build, and maintain scalable backend systems and APIs from the ground up.
- Write clean, maintainable, well-tested code that powers high-performance experiences.
- Collaborate closely with product and design to integrate large language models (LLMs) and data-driven features.
- Architect infrastructure that supports real-time data processing and intelligent insights.
- Develop tools and services to diagnose, monitor, and optimize system performance.
- Contribute to early architectural decisions, ensuring the system can scale gracefully.
- Document designs, write thoughtful technical specs, and participate in peer reviews.
Requirements
- 3+ years of experience building and shipping high-scale backend systems.
- Fluent in at least one modern programming language such as Python, Go, Java, or Rust.
- Strong computer science fundamentals including data structures, algorithms, distributed systems, and databases.
- Hands-on experience building and consuming APIs and working with modern cloud infrastructure (AWS, GCP, or similar).
- Excellent communication and collaboration skills, especially in cross-functional teams.
- Curiosity and enthusiasm for applying AI and LLMs to real-world applications.
- Experience designing systems that handle high data throughput or complex data processing (preferred).
- Familiarity with AI/ML pipelines, model deployment, or LLM integration (preferred).
- Knowledge of search systems, streaming data frameworks, or vector databases (preferred).
- Background in health tech, analytics, or personalization systems (preferred).
- Contributions to open-source projects or building products from 0 to 1 (preferred).
- Salary Range: $180,000 - $250,000 + equity + benefits
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonGoJavaRustAPIsdata structuresalgorithmsdistributed systemsdatabasesAI/ML pipelines
Soft skills
communicationcollaborationcuriosityenthusiasm