Hebbia is looking for a Platform Engineer to join their Document Intelligence team. The team builds cutting-edge AI solutions that transform how users discover and interact with billions of private and public documents. The role involves building scalable systems, deploying efficient software, and working with top technology firm, with a focus on distributed systems and platform engineering.
Requirements
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
- 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
Benefits
- Unlimited PTO
- Medical + Dental + Vision + 401K insurance
- Catered lunch daily + doordash dinner credit
- 3 months non-birthing parent, 4 months for birthing parent parental leave policy
- Fertility benefits: $15k lifetime benefit
- New hire equity grant: competitive equity package with unmatched upside potential