Intermediate Software Engineer

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Quick summary

Work type: On-site
Location: Cary, NCAustin, TX
Employment: Full-time
Posted: 24 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $151k

$105k most similar roles pay here $206k

This listing doesn't post a salary. Most similar roles pay $124,750–$177,250.

Based on 240 similar postings.

Employer

About Q2

Q2 Holdings is a cloud-based banking software company providing digital banking solutions to banks, credit unions, and alternative financial companies, including consumer and business banking platforms. Industry: Financial Technology & Digital Banking

Q2 currently has 33 open roles on FindRole.

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At a glance

TL;DR · Intermediate Software Engineer

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As an Intermediate Software Engineer on the Risk & Fraud team, you will develop production systems designed to detect and prevent fraud for financial institutions. You will work across the full stack to design and implement services, APIs, and data infrastructure that power fraud models and user-facing products. Your daily responsibilities include building scalable data workflows, managing pipelines, and ensuring high availability while collaborating with product managers and data scientists. The role requires proficiency in Python, SQL, and JavaScript or TypeScript with modern frameworks like Vue.js. You will also utilize CI/CD pipelines and cloud-native, service-oriented architectures to solve complex problems regarding reliability and correctness. Preferred skills include experience with Airflow, dbt, Snowflake, AWS services, Docker, Kubernetes, and infrastructure as code to support fraud analytics and machine learning models within the financial technology space.

What does a Software Engineer earn in Texas?

Median $174200 from 133 postings across 36 companies.

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Skills

Python SQL JavaScript TypeScript Vue.js CI/CD Docker Kubernetes Airflow dbt Snowflake AWS Data Pipelines Infrastructure as Code

What you'll do

Design, implement, and test software solutions focused on high availability and resiliency.
Build and operate scalable data workflows, including pipelines and transformations, to support fraud analytics and machine learning models.
Develop across the full stack, from data layers and APIs to front-end integrations.
Take end-to-end ownership of systems, including delivery, monitoring, incident response, and iteration.
Translate fraud and risk requirements into scalable technical solutions in collaboration with product managers and data scientists.
Ensure all software adheres to security, confidentiality, and privacy policies.
Provide technical leadership by mentoring teammates and evangelizing engineering best practices.

What we're looking for

Bachelor's degree in a relevant field, an advanced degree, or equivalent work experience.
Minimum of 2 years of related experience.
Proficiency in Python to write well-tested, maintainable, and scalable code.
Proficiency in SQL and comfort with relational and/or analytical data stores.
Proficiency in JavaScript/TypeScript and a modern framework like Vue.js.
Experience implementing CI/CD pipelines and building applications using cloud-native, service-oriented architecture.
Experience with data pipeline tools (Airflow, dbt) or cloud data platforms (Snowflake, AWS) (preferred).
Exposure to data modeling, transformation, orchestration, containerization, or infrastructure as code (preferred).

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