Job description

The Opportunity We are looking for an experienced Software Engineer with a passion for building robust and scalable data infrastructure to join our Data Platform team. In this role, you'll design and develop the foundational systems that power the flow of data across the company, enabling fast insights and smarter decisions as we grow. Our mission is to create a platform that turns raw information into actionable intelligence — efficiently, reliably, and at scale. If you're excited about building the backbone of a data-driven organization and thrive in a space where engineering excellence meets real-world impact, we'd love to talk. Your Impact Design and build resilient systems for real-time data movement, processing, and storage Scale data infrastructure to support our rapidly growing business needs Unlock actionable insights by enabling seamless, governed access to high-quality, trustworthy data Drive innovation in data ingestion, transformation, and delivery across the company Establish best practices that balance performance, flexibility, and governance at scale We’re Looking for Someone Who Has a Bachelor's or Master's degree in Computer Science or a related field 3+ years in data infrastructure Has strong programming skills, preferably in Python or Java Has expertise with cloud data lakes such as Snowflake or Databricks Has experience with streaming and big data processing frameworks (e.g., Kafka, Spark) Is experienced with workflow orchestration systems (e.g., Apache Airflow, Dagster, Prefect) Has implemented CDC solutions (e.g., Debezium, Maxwell) Has experience with cloud platforms (preferably AWS) and containerization tools (e.g., Docker, Kubernetes) Nice to Haves Exposure to data governance, PII handling, or policy-driven access control — e.g., RBAC at scale, SQL-level data masking, or policy compiler / lineage systems About Otter.ai We are in the business of shaping the future of work. Our mission is to make conversations more valuable. With over 1B meetings transcribed, Otter.ai is the world’s leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are committed to building an inclusive and accessible workplace. We provide reasonable accommodations for qualified applicants throughout the hiring process. Accessibility & Accommodations Otter.ai is committed to providing reasonable accommodations for candidates with disabilities in our hiring process. If you need assistance or an accommodation during any stage of the recruitment process, please contact hr@otter.ai at least 3 business days before your interview. *Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Otter.ai employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate. Salary range Salary Range: $155,000 to $185,000 USD per year. This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent on several factors. Our base salary is just one component of a comprehensive total rewards package. #LI-Hybrid

Requirements

Must-haves

Design and build resilient systems for real-time data movement, processing, and storage
Scale data infrastructure to support our rapidly growing business needs
Unlock actionable insights by enabling seamless, governed access to high-quality, trustworthy data
Drive innovation in data ingestion, transformation, and delivery across the company
Establish best practices that balance performance, flexibility, and governance at scale
We’re Looking for Someone Who
Has a Bachelor's or Master's degree in Computer Science or a related field
3+ years in data infrastructure
Has strong programming skills, preferably in Python or Java
Has expertise with cloud data lakes such as Snowflake or Databricks
Has experience with streaming and big data processing frameworks (e.g., Kafka, Spark)
Is experienced with workflow orchestration systems (e.g., Apache Airflow, Dagster, Prefect)
Has implemented CDC solutions (e.g., Debezium, Maxwell)
Has experience with cloud platforms (preferably AWS) and containerization tools (e.g., Docker, Kubernetes)

Nice-to-haves

Exposure to data governance, PII handling, or policy-driven access control — e.g., RBAC at scale, SQL-level data masking, or policy compiler / lineage systems

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonjavaawsdockerkubernetessqlaiaccessibility

Platform: greenhouse
Effort: quick