Responsibilities
- Own critical system components: Take complex requirements and turn them into robust, scaled solutions that solve real customer needs.
- Unlock O(1) universal indexing: Build and iterate on our high-scale document build system that enables constant time latency for indexing any content in the world, regardless of data volume.
- Drive performance optimization: Architect and implement performance-tuning solutions to ensure our systems operate efficiently at scale, minimizing latency and maximizing throughput across millions of documents.
- Mentor and guide: Provide technical leadership, mentorship, and guidance to junior engineers, fostering a culture of learning and growth.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. A strong academic background with coursework in data structures, algorithms, and software development is preferred.
- 5+ years software development experience at a venture-backed startup or top technology firm, with a focus on backend software engineering.
- Proficiency in building backend and API systems using technologies such as Python, Java, or Go.
- Extensive experience with cloud platforms (e.g., AWS)
- Working experience with one or more of the following: Kafka, ElasticSearch, PostgreSQL, and/or Redis
- Ability to analyze complex problems, propose innovative solutions, and effectively communicate technical concepts to both technical and non-technical stakeholders.
- Proven experience in leading software development projects and collaborating with cross-functional teams. Strong interpersonal and communication skills to foster a collaborative and inclusive work environment.
- Enthusiasm for continuous learning and professional growth. A passion for exploring new technologies, frameworks, and software development methodologies.
- Embraces rapid prototyping with an emphasis on user feedback
- Autonomous and excited about taking ownership over major initiatives
Qualifications
- Experience building agentic systems or LLM enabled products.
- Frequent user of AI products, especially during the development lifecycle (i.e. Cursor, Claude Code, etc).
Benefits
- PTO: Unlimited
- Insurance: Medical + Dental + Vision + 401K
- Eats: Catered lunch daily + doordash dinner credit if you ever need to stay late
- Parental leave policy: 3 months non-birthing parent, 4 months for birthing parent
- Fertility benefits: $15k lifetime benefit
- New hire equity grant: competitive equity package with unmatched upside potential