Top 18 Lead software engineering java/python Jobs in Denton, Tx

Lead Software Test Automation Engineer | Test Architect - Agentic AI
Wolters Kluwer —Coppell, TX
- $89,600 - $157,000 a year
- Full-time
- Java
- JavaScript
- Mentoring
- Commuter assistance
- Paid parental leave
Product Security Architect
JPMorganChase —Plano, TX
- Full-time
- Azure
- 5 years
- System design
- Health insurance
- Tuition reimbursement
Software Engineering Manager
7-Eleven —Irving, TX
- Java
- Bachelor's degree
- Senior level
QA Architect
ADP Test Code - WLP Test 02022023 —Northlake, TX
- $120 - $133 a year
- Full-time
- 7 years
- Azure
- Computer Science

More jobs to discover

Find similar jobs that you might be interested in.

Senior Solution Architect - Salesforce
PNC Financial Services Group —Farmers Branch, TX
This role defines and enforces standards for scalable solution design, integration patterns, data strategy, security, DevOps, and release readiness, partnering…
$80,000 - $209,300 a year
IT Project Manager (Banking Applications & Azure DevOps)
AgreeYa Solutions —Irving, TX
Bachelor’s degree in computer science, Information Technology, Engineering, or related field. The ideal candidate will have extensive experience managing the…
Quick Apply
9d

Show more similar jobs

Explore jobs in cities nearby

Check out jobs in cities near your current location, Columbus

Senior Software Engineer
Path Robotics —Columbus, OH
Have experience building developer tools, frameworks, or platforms for technical teams. Act as a technical lead within the research team, making key engineering…
Quick Apply
Staff Software Engineer
The Hartford —Columbus, OH
Effectively communicate technical concepts to both technical and non-technical stakeholders. Lead the design, development, and implementation of robust,…
$116,000 - $174,000 a year

I want to receive the latest job alert for lead software engineering java/python in denton, tx

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

lead software engineering java/python jobs near denton, tx

Security Architect jobs in Plano, TX

Test Automation Architect jobs in Coppell, TX

Security Architect jobs in Dublin, CA

Healthcare Cyber Security jobs in Atlanta, GA

Security jobs in Hopkinsville, KY

Security Architect jobs in Columbia, SC

Security Architect jobs in New York, NY

Hospital Security Officer jobs in Brooklyn, NY

Security Architect jobs in Oklahoma

Quality Architect jobs in Sandy, UT

Quality Assurance Nurse Remote jobs in North Carolina

Pharmaceutical Quality Assurance jobs in Remote

Quality Assurance jobs in Louisville, KY

Architect jobs in Fort Lauderdale, FL

Software Engineering Manager jobs in Fort Worth, TX

Software Engineering Manager jobs in New York, NY

Software Engineer jobs in Pennsylvania

Logistics Manager jobs in New Jersey

Software Engineering Manager jobs in Kansas City, MO

Regional Manager Property jobs in Denver, CO

Lead Software Test Automation Engineer | Test Architect - Agentic AI

Wolters Kluwer -
Coppell, TX

Apply Now

Job Details

Full-time
$89,600 - $157,000 a year

Benefits

Commuter assistance
Paid parental leave
Health savings account
Health insurance
Dental insurance
401(k)
Flexible spending account
Tuition reimbursement
Parental leave
Vision insurance

Qualifications

Tooling
Software coding
Accessibility testing
Scalable systems
Scalability
UI
Quality check automation
DevOps automation
Technical architecture

Full Job Description

We are seeking a Lead Test Automation Architect to define and lead an enterprise-grade test automation strategy across UI, API, data, and platform layers—while evolving our quality engineering capabilities to support Agentic AI / LLM-based systems (probabilistic outputs, confidence-based validation, hallucination detection, and model evaluation). This role will architect scalable automation frameworks, drive engineering excellence, and accelerate delivery through highly productive, maintainable automation programs.

Key Responsibilities

Automation Strategy & Architecture

Define and own the test automation architecture and multi-layer strategy (UI/API/contract/integration/e2e), aligned to product risk and release cadence.
Establish automation standards, patterns, and reference implementations (framework structure, page-object/screenplay usage, test data patterns, reporting).
Drive shift-left testing practices (contract testing, component testing, pre-merge validation) and reduce reliance on fragile end-to-end tests.

Agentic AI / LLM Test Model Alignment

Design and implement testing approaches for non-deterministic AI outputs, including:
- confidence/threshold-based assertions
- semantic similarity checks and rubric-based validation
- goldens/benchmark datasets and evaluation harnesses
- hallucination and groundedness testing strategies
- regression detection across model/prompt/version changes
Define AI test coverage across accuracy, robustness, bias/safety (as applicable), performance, and reliability.
Partner with ML/AI, Product, and Engineering to establish acceptance criteria for AI capabilities and measurable quality gates.

High-Productivity Automation Programs

Build and scale high-throughput automation projects that are reliable, fast, and easy to extend.
Improve test execution time, reduce flaky tests, and optimize CI/CD pipelines (parallelization, test selection, retries with guardrails).
Create actionable, engineering-friendly quality dashboards (pass/fail trends, flake rate, coverage, defect escape metrics).

Tooling, CI/CD, and Quality Gates

Integrate automation into CI/CD with quality gates (PR checks, nightly suites, release readiness criteria).
Standardize observability for testing: logs, tracing hooks, screenshots/video, artifacts, and test run diagnostics.
Define practices for test environments, data management, service virtualization, and dependency control.

Technical Leadership & Mentorship

Serve as the QE technical authority: coach engineers on automation design, code quality, and best practices.
Lead design reviews for test architecture and automation PRs; enforce coding standards and maintainability.
Influence roadmap and delivery by translating risk into clear testing priorities.

Required Qualifications

8–12+ years in Quality Engineering / Test Automation with architect-level ownership of frameworks and strategy.
Proven experience designing scalable automation across:
- API testing (contract + integration)
- UI automation with stable locator strategies (test IDs, accessibility roles)
- Test data strategy and environment reliability
Strong programming skills in at least one modern language (e.g., Java, Python, TypeScript/JavaScript, C#).
Expertise with automation tools/frameworks (examples):
- UI: Playwright / Cypress / Selenium
- API: REST-assured / SuperTest / Postman/Newman / pytest
- CI: GitHub Actions / Jenkins / Azure DevOps
Demonstrated ability to reduce flakiness and improve execution speed through engineering solutions.

Preferred Qualifications (Strongly Desired)

Experience testing LLM/Agentic AI features or other probabilistic systems, including:
- evaluation harnesses, benchmark datasets, semantic scoring, and drift detection
- prompt/version regression strategies and structured evaluation reports
Familiarity with modern quality approaches: test pyramid, contract testing, consumer-driven contracts, risk-based testing, shift-left.
Knowledge of security/performance testing integration (baseline understanding; hands-on is a plus).
Experience building reusable automation libraries for multiple teams/products.

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Compensation:

$89,600.00 - $157,000.00 USD

This role is eligible for Bonus.

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Additional Information:

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.

Apply Now

Refine Your Search

lead software engineering java/python jobs in denton, tx

Product Security Architect

Software Engineering Manager

QA Architect

More jobs to discover

Explore jobs in cities nearby

I want to receive the latest job alert for lead software engineering java/python in denton, tx

Explore jobs in more locations

Key Responsibilities

Automation Strategy & Architecture

Define and own the test automation architecture and multi-layer strategy (UI/API/contract/integration/e2e), aligned to product risk and release cadence.

Establish automation standards, patterns, and reference implementations (framework structure, page-object/screenplay usage, test data patterns, reporting).

Drive shift-left testing practices (contract testing, component testing, pre-merge validation) and reduce reliance on fragile end-to-end tests.

Agentic AI / LLM Test Model Alignment

Design and implement testing approaches for non-deterministic AI outputs, including:

confidence/threshold-based assertions

semantic similarity checks and rubric-based validation

goldens/benchmark datasets and evaluation harnesses

hallucination and groundedness testing strategies

regression detection across model/prompt/version changes

Define AI test coverage across accuracy, robustness, bias/safety (as applicable), performance, and reliability.

Partner with ML/AI, Product, and Engineering to establish acceptance criteria for AI capabilities and measurable quality gates.

High-Productivity Automation Programs

Build and scale high-throughput automation projects that are reliable, fast, and easy to extend.

Improve test execution time, reduce flaky tests, and optimize CI/CD pipelines (parallelization, test selection, retries with guardrails).

Create actionable, engineering-friendly quality dashboards (pass/fail trends, flake rate, coverage, defect escape metrics).

Tooling, CI/CD, and Quality Gates

Integrate automation into CI/CD with quality gates (PR checks, nightly suites, release readiness criteria).

Standardize observability for testing: logs, tracing hooks, screenshots/video, artifacts, and test run diagnostics.

Define practices for test environments, data management, service virtualization, and dependency control.

Technical Leadership & Mentorship

Serve as the QE technical authority: coach engineers on automation design, code quality, and best practices.

Lead design reviews for test architecture and automation PRs; enforce coding standards and maintainability.

Influence roadmap and delivery by translating risk into clear testing priorities.

Required Qualifications

8–12+ years in Quality Engineering / Test Automation with architect-level ownership of frameworks and strategy.

Proven experience designing scalable automation across:

API testing (contract + integration)

UI automation with stable locator strategies (test IDs, accessibility roles)

Test data strategy and environment reliability

Strong programming skills in at least one modern language (e.g., Java, Python, TypeScript/JavaScript, C#).

Expertise with automation tools/frameworks (examples):

UI: Playwright / Cypress / Selenium

API: REST-assured / SuperTest / Postman/Newman / pytest

CI: GitHub Actions / Jenkins / Azure DevOps

Demonstrated ability to reduce flakiness and improve execution speed through engineering solutions.

Preferred Qualifications (Strongly Desired)

Experience testing LLM/Agentic AI features or other probabilistic systems, including:

evaluation harnesses, benchmark datasets, semantic scoring, and drift detection

prompt/version regression strategies and structured evaluation reports

Familiarity with modern quality approaches: test pyramid, contract testing, consumer-driven contracts, risk-based testing, shift-left.

Knowledge of security/performance testing integration (baseline understanding; hands-on is a plus).

Experience building reusable automation libraries for multiple teams/products.

Our Interview Practices

Additional Information: