Platform Engineer: Internal Tools & AI Integration

Verition; Norwalk (CT); On-site; USD 100,000 - 150,000; Full time

Job summary

Verition is seeking a Platform Services engineer to build and support internal web applications and data tooling. You will work on live, in‑use applications, write queries, ship front‑end changes, and improve deployment and release practices.

The role emphasizes cross‑functional collaboration, data quality, and expanding LLM‑based tooling, with a focus on maintaining robust data pipelines and operational reliability.

Qualifications

• 1+ year of experience in a similar position.
• Strong Python skills and comfortable working in a web application codebase (HTML/CSS/JavaScript).
• Strong proficiency in Python — joins, aggregation, window functions, reading an execution plan.
• Exposure to financial services is preferred — trade lifecycle, securities reference data, or fund and portfolio structures.
• Experience with Docker, Linux, and cloud infrastructure.
• Practical experience with LLM tooling — agent frameworks, tool‑calling integrations, or building against an LLM API.
• Familiarity with issue tracking and documentation tooling.
• Excellent written and verbal communication skills.
• High level of intellectual curiosity, strong work ethic, and keen attention to detail.
• Ability to work effectively in a team‑oriented, fast‑paced, and dynamic environment.

Responsibilities

• Build and maintain features across a suite of internal web applications used across the business.
• Deliver the steady stream of small, high‑visibility requests: new fields, layout and usability improvements, filtering, export and upload handling.
• Improve query and page performance on tools that are used daily.
• Write and tune SQL to answer business questions and diagnose issues in operational and reference data.
• Investigate and resolve data‑quality problems — malformed values, mismatched identifiers, records failing validation.
• Support the flows that move data between internal systems, and help build the derived or historical datasets that source systems do not retain themselves.
• Contribute to the integration layer that connects internal systems to LLM‑based tooling — building and testing tool interfaces, improving error handling, and extending logging and administration.
• Support internal AI assistant features through functional testing, access‑control testing, and triage of reported behavior.
• Package and document tooling so non‑technical colleagues can use it without hands‑on help.
• Act as first‑line support for internal users — access requests, permissions, and environment or configuration problems.
• Handle account and role provisioning and the associated directory group changes.
• Own routine operational tasks: deployments, scheduled restarts, cache management, and monitoring of automated jobs.
• Keep runbooks, release notes, and status updates current.
• Help mature the codebase — source control conventions, branching, code review, and continuous integration.
• Stand up development environments so changes can be tested properly before release.
• Add automated testing, starting with the paths that break most often.

Skills

Python

HTML/CSS/JavaScript

Docker

Linux

Cloud infrastructure

LLM tooling

SQL

Communication

Financial services exposure

Team collaboration

Tools

Docker

Linux

Cloud infrastructure

LLM tooling

Job description

Verition is seeking a Platform Services engineer to build and support internal web applications and data tooling. You will work on live, in‑use applications, write queries, ship front‑end changes, and improve deployment and release practices.

The role emphasizes cross‑functional collaboration, data quality, and expanding LLM‑based tooling, with a focus on maintaining robust data pipelines and operational reliability.