Otter.ai

Software Engineer, Data Infrastructure

Otter.ai
Apply
3 months ago
Mountain View, CA, USAMid Level
H1B Sponsor

Base Salary

$155k - $185k/yr

Responsibilities

  • Design and build resilient systems for real-time data movement, processing, and storage.
  • Scale data infrastructure to support the company’s growth.
  • Enable seamless, governed access to high-quality and trustworthy data.
  • Drive data ingestion, transformation, and delivery across the company.
  • Establish infrastructure best practices balancing performance, flexibility, and governance at scale.

Requirements

  • Bachelor’s or master’s degree in computer science or a related field.
  • At least 4 years of engineering experience, including at least 2 years in data infrastructure.
  • Strong programming skills, preferably in Python or Java.
  • Expertise with cloud data lakes such as Snowflake or Databricks.
  • Experience with streaming and big data processing frameworks such as Kafka or Spark.
  • Experience with workflow orchestration systems such as Apache Airflow, Dagster, or Prefect.
  • Experience implementing CDC solutions such as Debezium or Maxwell.
  • Experience with cloud platforms, preferably AWS, and containerization tools such as Docker or Kubernetes.
  • Nice-to-have exposure to data governance, PII handling, policy-driven access control, RBAC at scale, SQL-level data masking, policy compiler systems, or data lineage systems.

Benefits

  • Hybrid work arrangement, indicated by #LI-Hybrid.
  • Comprehensive total rewards package in addition to base salary.
  • Equal opportunity employer with reasonable accommodations available throughout the hiring process.

Tech Stack

Categories

Data Engineering
Otter.ai

About Otter.ai

51-200 employees

Otter.ai is the Conversational Knowledge Engine built for the modern enterprise, giving AI agents the organizational context to act on by connecting thousands of conversations across thousands of people. Available on desktop on Mac and Windows, iPhone, Android, web. Used by more than 35 million people, across over one billion meetings, generating more than 30 million action items. The pioneer of the AI meeting assistant category. Backed by early investors in Google, Zoom, and Tesla. Headquartered in Mountain View, California.

Contact me