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$169,550–$226,350.
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
The Principal Software Engineer - Automation joins the engineering team to identify and resolve high-leverage technical bottlenecks across the organization. This role involves framing ambiguous problems, architecting end-to-end solutions, and building internal tools that improve company-wide velocity. You will develop full-stack applications, APIs, and advanced observability frameworks to automate data collection and incident response. Key responsibilities include mentoring engineers, defining system design best practices, and managing the lifecycle of infrastructure as code. You will utilize C#, Go, and Python alongside SQL, NoSQL, and tools like Grafana, Splunk, Docker, and Terraform. The work focuses on creating scalable automation, agentic AI platforms, and secure self-service tools to replace manual pathways within complex cloud and on-prem environments across AWS, Azure, GCP, and VMware.
What does a Software Engineer earn in Texas?
Median $178175 from 187 postings across 44 companies.
Identify and frame high-leverage technical problems that have not yet been scoped or named.
Architect and build end-to-end tools, platforms, and systems that scale across the entire organization.
Integrate agentic AI and self-hosted models into existing workflows to solve previously impractical problems.
Re-architect manual, risky pathways into secure, self-service tools with built-in guardrails and auditing.
Create engineering patterns, standards, and platforms that other teams use to build their own solutions.
Socialize technical designs and architectures with senior leadership and executive teams to gain alignment.
Mentor senior and mid-level engineers to foster a culture of technical excellence and innovation.
Own the full lifecycle of observability tools, including CI/CD pipelines and infrastructure as code.
What we're looking for
Bachelor’s degree in Computer Science or related field with 15 years of experience in software engineering, systems automation, or observability tooling.
Advanced degree with 12+ years of experience in software engineering, systems automation, or observability tooling.
Equivalent related work experience to the degree and years of experience requirements.
Expertise in Go, Python, and scripting languages like Bash or PowerShell.
Expertise in C# (preferred).
Deep understanding of RESTful APIs, microservices architecture, and distributed systems.
Proficient in SQL and NoSQL databases such as MS SQL Server and Postgres.
Strong experience with monitoring and analytics platforms like Grafana and Splunk.
Hands-on experience with CI/CD tools, containerization (Docker), and infrastructure automation (Terraform).
Advanced knowledge of Linux (Red Hat/CentOS) and Windows Server administration.
Experience with NGINX, IIS, and public cloud datacenter operations (preferred).
Proven ability to lead complex technical projects and influence cross-functional teams.
Fluent written and oral communication in English.
Authorization to work for any employer in the U.S.
Video Coding
AV1
AV2
AVC
HEVC
VVC
Deep Learning
Computer Vision
C++
Python
gStreamer
Docker
REST APIs
XML
JSON
Git
GitHub
ABR Algorithms
Video Processing