Job description
Please be advised: Visio Lending does not accept unsolicited resumes or services from third-party recruitment agencies. In the event, a recruiter or agency submits a resume or candidate without an agreement Visio Lending shall explicitly reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to Visio Lending employees, shall be deemed the property of Visio Lending.
About Visio Lending
Visio Lending is the nation’s leader in rental home financing. Founded in 2012 in Austin, Texas, Visio enables small- to medium- sized investors to grow their rental home and vacation rental portfolios. Headquartered in fantastic Austin, Texas, since late 2015, Visio has financed more than $1 billion in Rental360 loans. With more than $400 million in capital onboard, a proven record of investment grade bond issuance on Wall Street, and an outstanding 100+ team, Visio is poised for continued success.
Why We Love Working at Visio:
We at Visio are passionate about working together towards our goals to continually push this company forward. We innovate, collaborate, celebrate team successes, and recognize individual accomplishments. At Visio Lending, you’ll work on meaningful initiatives that directly support real estate investors nationwide. We offer a collaborative culture, growth opportunities, and flexibility with remote work options.
How to Apply?
To be considered for employment, please submit your application online. While we appreciate all the interest we receive, only candidates selected for phone screening, or an interview will be contacted directly. You will receive application status alerts via email so make sure your email address is accurate.
Note: Incomplete applications will not be considered. Unanswered application questions or responses indicating “see resume” will be considered incomplete and you will be removed from consideration.
Visio Financial Services, Inc. is an Equal Opportunity Employer
The Opportunity:
As a Technical Solutions Engineer at Visio Lending, you'll play a key role in supporting and enhancing the technology that powers our business. You'll troubleshoot complex technical issues, maintain and improve engineering systems, and work across software applications, data platforms, reporting, integrations, and internal tools to deliver reliable, scalable solutions.
This role is ideal for a technically curious problem solver who enjoys working across a variety of systems, quickly learning new technologies, and leveraging AI-powered tools to improve efficiency. You'll combine sound engineering judgment with emerging technologies to troubleshoot issues, automate repetitive tasks, improve documentation, support testing efforts, and accelerate solution delivery.
While this position is not responsible for defining Visio's AI strategy, you'll apply approved AI tools within established security and governance standards to enhance productivity and technical outcomes. A significant portion of the role will focus on supporting and improving our data warehouse, analytics, and reporting environments.
What You'll Do
Troubleshoot production and development issues across software applications, data systems, reporting platforms, integrations, internal tools, and related engineering workflows
Maintain and troubleshoot data warehousing, analytics, reporting, and business intelligence systems, including SQL-based data analysis, ETL/ELT pipeline troubleshooting, and Power BI report/dashboard support
Use AI-enabled tools to assist with code analysis, debugging, SQL/query writing, test generation, documentation, requirements analysis, system design, data analysis, and technical triage, while validating AI-generated output before use
Read, understand, modify, and write code as needed in support of assigned engineering tasks, primarily using technologies such as Python, C#, SQL, and PowerShell
Assist with engineering projects across software, data engineering, reporting, Salesforce, Azure, APIs/integrations, DevOps/pipelines, and internal business systems
Work tickets from a helpdesk/ticketing system, including acknowledgement, triage, troubleshooting, resolution where possible, documentation of actions taken, and escalation when appropriate
Diagnose technical issues by reviewing logs, system behavior, API responses, data flows, configuration, permissions, user-reported symptoms, and related system evidence
Participate in deployments, releases, production changes, and validation activities following established approval, change management, and project procedures
Support monitoring, logs, alerts, and incident triage as part of the broader engineering team effort
Create and maintain technical documentation, support notes, troubleshooting guides, knowledge articles, runbooks, and system/process documentation
Collaborate with senior engineers, data engineers, analysts, software developers, and business stakeholders to clarify requirements, identify root causes, and implement practical solutions
Help reduce the operational burden on senior engineers by independently handling appropriately scoped troubleshooting, maintenance, documentation, support, and enhancement work
Identify recurring issues and recommend improvements to systems, documentation, processes, automation, reporting, security posture, or technical support workflows
Support responsible and secure AI usage at the direction of the organization's AI leadership or designated AI manager
Other responsibilities and duties as assigned based on business needs
Authorized Remote Locations: AL, AR, AZ, FL, GA, IL, IN, KS, KY, LA, MI, NC, SC, TX, UT
Salary Range: $111,000 - $130,000 (Exempt level position)
What We Are Looking For:
Bachelor's degree in computer science, information systems, engineering, data analytics, or a related field preferred, or equivalent demonstrable experience
5+ years of professional experience in software engineering, data engineering, systems analysis, technical operations, DevOps/support engineering, or a closely related technical role
Demonstrated technical background with the ability to understand software, data, application, integration, and infrastructure issues across multiple systems
Strong systems analysis skills, including the ability to investigate ambiguous technical problems, isolate likely causes, and communicate findings clearly
Ability to read and write code, with practical experience in one or more relevant languages such as Python, C#, SQL, or PowerShell
Strong SQL skills, including the ability to query, validate, troubleshoot, and interpret structured data
Working knowledge of ETL/ELT concepts and the ability to troubleshoot data pipeline failures, data quality issues, and data movement problems
Experience maintaining and troubleshooting Power BI reports, dashboards, datasets, or comparable business intelligence/reporting assets
Experience debugging APIs, integrations, logs, application errors, and data flow issues
Experience using Git, GitHub, Azure DevOps, or comparable source control and work management tools
Ability to participate in testing, deployment, release validation, and change management activities
Practical experience using AI tools in technical work, including code review, debugging, documentation, SQL/query support, analysis, and problem-solving
Ability to evaluate AI-generated output critically and validate results before implementation or recommendation
Ability to work tickets in a helpdesk/ticketing system, document work performed, and escalate with clear reproduction steps, evidence, and context
Strong written and verbal communication skills, including the ability to explain technical issues to both technical and non-technical audiences
What We Prefer to Find:
Strong technical curiosity and ability to learn unfamiliar systems quickly
Experience with Azure-based systems, data platforms, automation, or cloud infrastructure
Experience with data warehousing, analytics engineering, semantic models, reporting pipelines, or enterprise BI systems
Experience with Power BI report development, dashboard maintenance, dataset troubleshooting, or data model support
Experience with Salesforce administration, Salesforce development, Salesforce reporting, or Salesforce-related support workflows
Experience supporting production systems, including incident triage, root cause analysis, monitoring, logging, and post-incident documentation
Experience with CI/CD pipelines, deployment automation, Azure DevOps, GitHub Actions, or comparable release tooling
Familiarity with AI tools such as ChatGPT, Claude, GitHub Copilot, Azure AI Foundry, Cursor, Replit, or prompt engineering frameworks
Collaborative mindset with the ability to support engineers, analysts, business users, and technical leadership
Experience in financial services, lending, or regulated industries
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.