Senior Software Engineer, Data Infrastructure – AI

FullStory

Senior Software Engineer focused on data infrastructure at Fullstory. Developing systems to transform billions of data points while collaborating with cross-functional teams.

Posted 4/23/2026full-timeAtlanta • 🇺🇸 United StatesSenior💰 $160,000 - $170,000 per yearWebsite

Tech Stack

Tools & technologies

BigQueryCloudGoJavaMicroservicesPython

About the role

Key responsibilities & impact

Maintain, extend, and scale Go microservices that transform and deliver Fullstory session data into customer warehouses and power the team's MCP server that enables AI agent integrations.
Develop and maintain dbt models and pipeline orchestration to ensure timely, fault-tolerant data migrations across hundreds of customer destinations.
Define evaluation frameworks for LLM outputs using tools like Langsmith and Vertex AI, ensuring AI-powered customer agents produce accurate, useful results.
Investigate and resolve production incidents across the data pipeline, implementing systemic fixes that prevent entire classes of failure from recurring.
Write technical design documents that drive consensus on architectural changes, proactively surfacing scaling bottlenecks, edge cases, and cross-team dependencies.
Demonstrate sound technical judgment by de-risking work through spikes, taking on tech debt deliberately, and knowing when to escalate versus dig in.

Requirements

What you’ll need

Significant experience building and operating high-throughput data pipelines (batch and/or streaming) in a major cloud platform, including work with cloud data warehouses like BigQuery, Snowflake, or Databricks.
Proficiency in Go, Python, Java or a similar language.
Hands-on experience with data transformation tooling such as dbt, with a strong understanding of data modeling and pipeline observability.
Familiarity with LLM integration patterns and evaluation approaches (e.g., LangSmith, Vertex AI, or comparable frameworks), or demonstrated ability to ramp quickly in applied AI.
A track record of owning major system areas end-to-end: driving architectural decisions, maintaining production health, and improving reliability over time.

Benefits

Comp & perks

Flexibility and Connection.
Benefits.
Learning opportunities.
Productivity support.
Team Collaboration.
Paid parental leave.
Bereavement leave, including miscarriage/pregnancy loss.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

GoPythonJavadbtdata modelingpipeline orchestrationdata transformationLLM integrationcloud data warehouseshigh-throughput data pipelines

Soft Skills

technical judgmentproblem-solvingcommunicationcollaborationarchitectural decision-makingproactive identification of issuesconsensus buildingrisk managementescalation managementsystemic thinking