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Playwright Automation Jobs in Missouri (NOW HIRING)

Dev Ops Lead

Saint Louis, MO · Hybrid

$49.50 - $67.75/hr

Infrastructure & Automation: Own the design, deployment, and scaling of cloud infrastructure (Azure ... Playwright and CodeCov. * Strong understanding of DevOps architecture, design patterns, and best ...

Design, implement, and test API and UI automation solutions using Playwright, Selenium WebDriver, RestSharp, and Postman. * Create and execute comprehensive Test Cases, Test Data, and Test suites.

Dev Ops Lead

Saint Louis, MO · On-site

$49.50 - $67.75/hr

Infrastructure & Automation: Own the design, deployment, and scaling of cloud infrastructure (Azure ... Playwright and CodeCov. * Strong understanding of DevOps architecture, design patterns, and best ...

Showing results 41-44

Playwright Automation information

See Missouri salary details

$29.1K

$109.4K

$159K

How much do playwright automation jobs pay per year?

As of Aug 22, 2026, the average yearly pay for playwright automation in Missouri is $109,378.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,800.00 and $130,400.00 per year, depending on experience, location, and employer.

What is a Playwright Automation?

A Playwright Automation job involves using Microsoft's Playwright framework to automate web application testing. Professionals in this role write scripts to simulate user interactions, verify application functionality, and ensure cross-browser compatibility. They work closely with developers and QA teams to create reliable, efficient, and scalable test automation suites. This helps improve software quality by identifying bugs early in the development cycle.

What are some typical challenges faced in a Playwright Automation role and how is support provided?

One common challenge in Playwright Automation is maintaining test stability amidst frequent application updates, which can introduce breaking changes to test scripts. Teams often address this by fostering a collaborative environment where automation engineers, developers, and manual testers work closely to quickly identify and resolve issues. Regular code reviews, up-to-date documentation, and ongoing training on new Playwright features also help mitigate obstacles. You’ll benefit from a supportive team structure that values continuous learning and open communication, making it easier to overcome hurdles and advance your automation expertise.

What are the key skills and qualifications needed to thrive in the Playwright Automation position, and why are they important?

To thrive as a Playwright Automation specialist, you need strong programming skills (primarily in JavaScript or TypeScript), foundational knowledge of software testing, and experience with end-to-end test automation frameworks. Familiarity with tools like Playwright, continuous integration systems (e.g., Jenkins or GitHub Actions), and relevant certifications such as ISTQB can be highly advantageous. Attention to detail, strong problem-solving abilities, and effective communication stand out as critical soft skills in this role. These competencies enable the efficient development, maintenance, and troubleshooting of test automation scripts, ensuring robust software quality and streamlined deployment cycles.

Is playwright automation in demand?

Playwright automation is increasingly in demand as organizations adopt automated testing for web applications. Skills in JavaScript, TypeScript, and familiarity with testing frameworks enhance job prospects in this field, which is growing alongside the expansion of web development and quality assurance roles.

What are popular job titles related to Playwright Automation jobs in Missouri?

For Playwright Automation jobs in Missouri, the most frequently searched job titles are:

What cities in Missouri are hiring for Playwright Automation jobs?

Cities in Missouri with the most Playwright Automation job openings:

Infographic showing various Playwright Automation job openings in Missouri as of August 2026, with employment types broken down into 43% Full Time, and 57% Contract. Highlights an 100% In-person job distribution, with an average salary of $109,378 per year, or $52.6 per hour.

Senior AI Software Engineer-TS/SCI clearances (CI poly preferred)

Credence

Saint Louis, MO • On-site

$119K - $157K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

Overview

Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose.

We’ve been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges.

Position Summary

Credence has an immediate need for a Senior AI Software Engineer to join our growing AI and Automation practice. In this role, you will serve as a senior technical contributor responsible for designing, developing, and deploying advanced AI-driven solutions, including generative AI, LLM-powered applications, and agentic AI systems. You will collaborate with cross-functional engineering, data, cloud, and stakeholder teams to deliver scalable, secure, and mission-focused AI capabilities for federal clients, while helping guide technical direction, strengthen engineering practices, and mentor other engineers.

Responsibilities include, but are not limited to the duties listed below

  • Generative AI & LLM Solution Delivery
    Lead the design, development, prototyping, and refinement of AI-powered capabilities using generative AI, large language models, retrieval patterns, prompt/context engineering, and secure API integrations.
  • Agentic AI System Development
    Own end-to-end agentic AI development lifecycles, including model selection, agent design, tool/function calling, orchestration, response synthesis, evaluation, and deployment of reliable AI agents.
  • Senior Software Engineering Leadership
    Apply strong software engineering principles to design maintainable, testable, and scalable systems; conduct code reviews, establish technical patterns, and leverage AI-assisted development tools responsibly to accelerate delivery.
  • Cross-Functional Technical Collaboration
    Partner with data engineers, software engineers, data scientists, cloud engineers, and mission stakeholders to translate business and mission needs into operational AI and automation solutions.
  • Cloud Enablement & DevSecOps Integration
    Design and automate deployment workflows using Infrastructure as Code (IaC), CI/CD pipelines, containers, and cloud-native services to support secure, repeatable, and scalable AI delivery.
  • Production Monitoring & Optimization
    Monitor AI systems post-deployment, perform performance tuning, and apply best practices for reliability and scalability.
  • Technical Rigor & Documentation
    Write clean, well-documented code following industry and federal guidelines; support reproducible development.
  • Technical Mentorship & Continuous Improvement
    Stay current on emerging AI/ML trends, agentic frameworks, model capabilities, and engineering practices while mentoring team members and contributing to reusable standards, documentation, and technical design reviews.

Requirements

What You Bring

  • TS/SCI clearances Required (CI poly preferred).
  • Bachelor’s or Master’s in Computer Science, AI/ML, or a related field.
  • 7+ years of hands-on software engineering experience, including significant experience delivering AI/ML, generative AI, or LLM-powered solutions in production or production-like environments.
  • Experience building generative AI applications, working with LLMs, implementing tool/function calling, and applying model evaluation, prompt/context engineering, or retrieval-augmented generation approaches.
  • Experience designing or implementing agentic AI solutions using frameworks or platforms such as Agent2Agent Protocol, Bedrock Agents, Mastra, CrewAI, Strands, AgentCore, LangChain, or LangGraph.
  • Strong understanding of leading AI APIs and model platforms such as OpenAI, Anthropic, Gemini, Amazon Bedrock, and Google Vertex AI.
  • Proficiency in TypeScript and familiarity with key libraries and frameworks such as Nx, Next.js, Mastra, Vercel AI SDK, Playwright, Jest, and Vite.
  • Python proficiency and familiarity with libraries and frameworks (uv, Pydantic, FastAPI, CrewAI, LangChain, LangGraph, Unstructured).
  • Demonstrated curiosity and practical experimentation with emerging AI technologies, with a strong focus on responsible innovation and measurable mission impact.
  • Familiarity with CI/CD pipelines (GitLab CI)
  • Experience with VS Code and AI extensions such as Cline and Claude Code.
  • Strong communication skills and client-oriented mindset.

Preferred

  • Curious and experimental about the latest innovations in AI with an orientation toward the relentless pursuit of delivering mission impact.
  • Exposure to adjacent skillsets such as data engineering, data science, UI/UX, cloud engineering, and platform engineering to understand the entire software ecosystem.
  • Experience with IaC tools such as Terraform, Open Tofu, AWS CDK, or CloudFormation to deploy cloud native applications.
  • Knowledge of federal cybersecurity, RMF, FedRAMP, or regulatory frameworks.

Why This Role Matters

  • Real-World Impact — Your work will support defense and health agencies where AI solutions directly contribute to national security and public well-being.
  • Growth-Oriented Technical Leadership — Work with technical leaders, shape agentic AI delivery practices, and mentor team members while continuing to deepen your own expertise in advanced AI engineering.
  • Culture of Empowerment — You’ll be part of a team that values innovation, trust, collaboration, and mission success.

Salary Range: $155,000 - $200,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications.

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development
  • Wellness Resources