8 months ago

Software Engineer, Data Systems

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Lead data infrastructure as Gamma scales to hundreds of millions of users, owning end-to-end event pipeline architecture from Kafka to Snowflake. Balance hands-on engineering with technical leadership, mentoring teams, and shaping data stack strategy. Collaborate with analytics, product, and engineering leadership to enable data-driven decision making at scale.

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Own and evolve our end-to-end event pipeline architecture, from Kafka ingestion through Snowflake analytics, setting technical direction for data infrastructure
•Design and architect distributed data systems that scale to orders of magnitude more data volume while maintaining world-class query performance
•Lead initiatives to build and optimize CDC (change data capture) pipelines and streaming data transformations at massive scale
•Establish best practices for data quality, pipeline reliability, and system observability across the organization
•Drive strategic technical decisions about data modeling, infrastructure architecture, and technology choices
•Mentor engineers and elevate data engineering practices across analytics, product, and engineering teams

Key Requirements

•10+ years as a data or software engineer with deep expertise in distributed systems, data infrastructure, and high-growth SaaS products at massive scale
•Expert-level knowledge of Apache Kafka (producers, consumers, Kafka Connect, stream processing) and event streaming platforms
•Extensive hands-on experience with Snowflake, including performance optimization, cost management, and data modeling; strong foundation in Postgres, CDC patterns, and replication strategies
•Proven track record architecting and leading major data infrastructure initiatives through orders-of-magnitude growth
•Experience establishing best practices and driving technical strategy across organizations

Experience:10+ yearsDistributed systemsData infrastructureSaaSData engineering

Skills:CommunicationMentoringLeadership

Tech Stack:KafkaSnowflakePostgreSQLCDCDbtTerraform

Company Brief

Gamma

Gamma (gamma.app) is an AI-powered visual storytelling platform that generates presentations, websites, documents, and social content from text or briefs — combining AI design agents, smart layouts, and collaboration tools for fast, polished outputs.

Industry: SaaS

Company Size: Medium (51 to 250 employees)

Revenue: USD 100M to 250M

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series B

Headquarters: San Francisco, United States

Founded: 2020

Website LinkedIn

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Gamma

8 months ago

Software Engineer, Data Systems

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Own and evolve our end-to-end event pipeline architecture, from Kafka ingestion through Snowflake analytics, setting technical direction for data infrastructure
•Design and architect distributed data systems that scale to orders of magnitude more data volume while maintaining world-class query performance
•Lead initiatives to build and optimize CDC (change data capture) pipelines and streaming data transformations at massive scale
•Establish best practices for data quality, pipeline reliability, and system observability across the organization
•Drive strategic technical decisions about data modeling, infrastructure architecture, and technology choices
•Mentor engineers and elevate data engineering practices across analytics, product, and engineering teams

Key Requirements

•10+ years as a data or software engineer with deep expertise in distributed systems, data infrastructure, and high-growth SaaS products at massive scale
•Expert-level knowledge of Apache Kafka (producers, consumers, Kafka Connect, stream processing) and event streaming platforms
•Extensive hands-on experience with Snowflake, including performance optimization, cost management, and data modeling; strong foundation in Postgres, CDC patterns, and replication strategies
•Proven track record architecting and leading major data infrastructure initiatives through orders-of-magnitude growth
•Experience establishing best practices and driving technical strategy across organizations

Experience:10+ yearsDistributed systemsData infrastructureSaaSData engineering

Skills:CommunicationMentoringLeadership

Tech Stack:KafkaSnowflakePostgreSQLCDCDbtTerraform

Company Brief

Gamma

Industry: SaaS

Company Size: Medium (51 to 250 employees)

Revenue: USD 100M to 250M

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series B

Headquarters: San Francisco, United States

Founded: 2020

Website LinkedIn