Senior Engineer

UST

$109K — $164K *
Information Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 12+ years of experience in software engineering, particularly in production-critical backend systems.
  • Proficiency in Go/Golang or Java with a focus on production environments.
  • Experience integrating AI/ML solutions into enterprise systems.
  • Strong understanding of AI/ML concepts and their application in software development.
  • Deep expertise with relational databases and transactional modeling.

Responsibilities

  • Own and enhance existing Go-based services to improve system capability and reliability.
  • Design and implement backend functions for payment processing and transaction routing.
  • Integrate AI/ML components into the payment processing architecture.
  • Leverage AI/ML across the software development lifecycle for testing and monitoring.
  • Ensure system stability, correctness, and compliance with audit requirements.

Benefits

  • Accrual of a minimum of 10 days of paid vacation and 6 days of paid sick leave annually.
  • Eligibility for medical, dental, and vision insurance for employees and dependents.
  • Company-sponsored life and disability insurance, including short- and long-term benefits.
  • Participation in a 401(k) retirement plan with employer matching contributions.
  • Eligibility for Health Savings Accounts (HSA) and Flexible Spending Accounts (FSA).
Full Job Description
Role description

Senior Engineer

Specialist II - Software Engineering

UST is searching for a Senior Engineer to own and evolve a production-critical payment platform responsible for high-volume financial transactions. This role is focused on stability, correctness, and long-term system stewardship, not greenfield development.

The opportunity:
• Own and evolve existing Go-based services, making measured, low-risk changes that improve system capability, reliability, and clarity.
• Design and implement backend functionality for payment processing, transaction routing, reconciliation, and financial data movement with a strong focus on correctness and auditability.
• Integrate AI/ML components into the existing architecture (e.g., model inference services, decision engines, data pipelines) while ensuring system stability and auditability.
• Apply AI/ML across the SDLC, including:
• Intelligent test generation and validation
• Production anomaly detection and incident prediction
• Log and metric analysis using ML techniques

This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.

What you need:
• 12 plus years of experience in software engineering, demonstrated experience building and operating production-critical backend systems with meaningful business or revenue impact.
• Strong hands-on experience with Go/Golang or Java based technologies in real-world production environments.
• Experience integrating AI/ML solutions into enterprise systems, including deploying, consuming, or operationalizing ML models.
• Understanding of AI/ML concepts such as supervised/unsupervised learning, model evaluation, inference pipelines, and data quality considerations.
• Experience applying AI/ML within SDLC processes (e.g., testing, monitoring, observability, or developer productivity tooling).
• Deep experience with relational databases (e.g., MySQL, PostgreSQL, Oracle), including schema design, transactional modeling, and performance optimization.
• Strong understanding of transactional systems, including data integrity, idempotency, reconciliation, auditability, and failure handling.
• Proven ability to make pragmatic, low-complexity design decisions in distributed systems.
• Experience working within and improving existing systems with real-world constraints, rather than primarily greenfield environments.
• Ability to independently identify problems, define solutions, and drive execution to completion.
• Strong communication skills, including the ability to work effectively with both technical and non-technical stakeholders.
• Preferred Qualifications:
• Experience with payment systems, financial transaction platforms, or other high-integrity data domains.
• Experience supporting systems with high transaction volume, low latency requirements, or strict uptime expectations.
• Familiarity with MLOps practices, including model deployment, monitoring, drift detection, and lifecycle management.
• Experience with real-time or near real-time ML inference systems in production environments.
• Familiarity with secure data handling, privacy considerations, and ethical AI practices in regulated environments.
• Experience with containerized or cloud-based deployment environments (e.g., Kubernetes, Docker, or similar platforms).
• Exposure to event-driven or asynchronous processing patterns.

Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.

Role Location: Colorado

Compensation Range: $109,000-$164,000

Benefits

Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company's 401(k) Retirement Plan with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as the following Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits. Regular employees may purchase additional voluntary short-term disability benefits, and participate in a Health Savings Account (HSA) as well as a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines. Benefits offerings vary in Puerto Rico.

Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company's 401(k) Retirement Plan with employer matching.

Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company's 401(k) program with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance.

Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).

All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws.

#UST

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#LI-AP4

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