Platform Engineer, Document Intelligence

Responsibilities

• Take complex requirements and turn them into robust, scaled solutions that solve real customer needs.
• 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.
• 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 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 distributed systems and platform engineering.
• Proficiency in building backend and distributed systems using technologies such as Python, Java, or Go.
• Deep understanding of scalable system design, performance optimization, and resilience engineering.
• Extensive experience with cloud platforms (e.g., AWS).
• Working experience with one or more of the following: Kafka, ElasticSearch, PostgreSQL, and/or Redis.
• Knowledge of workflow orchestration and execution platforms like Airflow, Temporal or Prefect.
• Proven experience enabling observability patterns.
• 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.
• Autonomous and excited about taking ownership over major initiatives.

Qualifications

• Experience building distributed systems leveraging technologies such as etcd or Apache Zookeeper.
• Frequent user of AI products, especially during the development lifecycle (i.e. Cursor, Claude Code, etc).

Skills

• Cloud Platforms (AWS)
• Kafka
• ElasticSearch
• PostgreSQL
• Redis
• Workflow Orchestration and Execution Platforms (Airflow, Temporal, Prefect)
• Observability Patterns
• Distributed Systems
• AI Products (Cursor, Claude Code)

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

Pay

The salary range for this role is $160,000 to $300,000. This range may be inclusive of several career levels at Hebbia and will be narrowed during the interview process based on the candidate’s experience and qualifications. Adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description.

Schedule

N/A