Senior Software Engineer, Data Infrastructure & AI

Fullstory • Atlanta, GA

2d • Hybrid

About The Position

Fullstory Anywhere is one of Fullstory's three primary product verticals, and it's growing fast. This role involves putting Fullstory's rich digital experience data directly into customers' hands: in their warehouses, in their AI workflows, and in the tools their teams already use. As a Senior Software Engineer, Data Infrastructure & AI, you will report to the Senior Engineering Manager for the Fullstory Anywhere team. Your primary responsibility will be to help build the systems that transform, move, and activate billions of data points at massive scale, enabling customers to unlock insights in their own environments and build intelligent agents on top of real user behavior. You will design and optimize pipelines processing over 30 billion records daily across customer warehouses, collaborate with product and ML engineers to define how LLM-powered customer agents evaluate and act on Fullstory data, and make architectural decisions balancing throughput, cost, and reliability for a rapidly growing product vertical. The ideal candidate is comfortable owning large, ambiguous technical problems end-to-end, from initial design through production health, and skilled in building reliable, data-intensive systems that scale.

Requirements

• 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.

Responsibilities

• 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.

Benefits

• Flexibility and Connection (flexible PTO policy, annual company-wide closure, federal holidays)
• Sponsored benefit packages for US-based Fullstorians, and supplemental coverage options for international Fullstorians.
• Professional development opportunities through training programs and an annual learning subsidy for US and EMEA-based employees.
• Monthly productivity stipend for US and EMEA-based Fullstorians.
• Team off-sites and an annual full-company meet-up.
• Paid parental leave.
• Bereavement leave, including miscarriage/pregnancy loss.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 251-500 employees