Live opening · Posted 4 days ago

Senior Engineer, Data Services

TrueAccord · Remote in USA
Lever Yes Full-time
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At a glance

The key details from the original listing.

Posted 4 days ago
CompanyTrueAccord
LocationRemote in USA
Job typeFull-time
Work modeYes
SourceLever
ListedPosted 4 days ago

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About the role

Description supplied by the original job listing.

Why TrueML?
TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. Consumers today want personal, digital-first experiences that align with their lifestyles, especially when it comes to managing finances. TrueML’s approach uses machine learning to engage each customer digitally and adjust strategies in real time in response to their interactions.
The TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people in a way that recognizes their unique needs and preferences as human beings and endeavoring toward ensuring nobody gets locked out of the financial system.
About the Role
As a Senior Engineer on the Data Services team at TrueML, you will be a key technical contributor responsible for the reliability, scalability, and evolution of TrueML's event and data infrastructure — including the centralized event bus that carries asynchronous communication between domains, the streaming and change-data-capture pipelines that move operational data into our analytics platforms, and the integration services that bridge our modern platform with legacy systems through an active migration.
You will take full ownership of complex technical work, set a high engineering bar, and actively help elevate the engineers around you. This is a team that builds with AI rather than just alongside it — we run LLM-backed services in our own pipelines, and our repositories ship agent-readable context and tooling. In partnership with your Engineering Manager, Product, and sibling engineering teams, you will translate requirements into well-architected solutions and bring a strong bias toward reliability, observability, and measurability.

Employment type
Full-time

Work arrangement
Yes

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