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TeleTracking

Software Engineer II, Quality Engineering

Pittsburgh, PA; PittsburghUnited States
Mid-level · Data Engineering
POSTED 7 AUGVERIFIED 5H AGO
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Open for
88d
since 7 Aug
Hiring · 30d
13
0 net · open roles
TypeScriptJavaScriptPythonJavaScalaC++C#/.NETAWSGCPAzureKubernetesDocker

About us

TeleTracking began with a simple but powerful belief that no one should wait for the care they need. More than a slogan, it’s a promise to continually improve healthcare.

TeleTracking builds groundbreaking technology incorporating deep clinical expertise. Our solutions are used in the nation’s largest healthcare systems and around the world to positively impact patients, families and communities.

What’s your contribution to the TeleTracking story?

When you chose to bring your passion and skills to helping achieve our purpose, you’ll be part of a team that understands that there’s a human life behind every data point. Your skills, curiosity, and compassion—will help fuel our innovation and achieve the TeleTracking promise of revolutionizing modern healthcare.

About the role

TeleTracking is seeking a Software Engineer II – Quality Engineering to design, develop, and maintain automated testing solutions that improve software quality, accelerate delivery, and increase engineering efficiency across our healthcare technology platform.

This is an opportunity for a software engineer with a passion for quality, automation, and continuous improvement. You will partner with product, engineering, and DevOps teams to build automated testing solutions, improve CI/CD pipelines, and drive software quality across our healthcare technology platform.

What you will do

  • Design, develop, and maintain automated testing solutions for web applications, APIs, backend services, data pipelines, and distributed systems.
  • Build reusable automation frameworks, testing utilities, and engineering tools that improve software quality and development efficiency.
  • Create and execute functional, integration, regression, end-to-end, and performance testing strategies.
  • Develop production-quality software and automation components using modern programming languages.
  • Integrate automated testing into CI/CD pipelines to improve release confidence and delivery speed.
  • Investigate defects through application analysis, API testing, database validation, log analysis, and system troubleshooting.
  • Collaborate with software engineers to identify root causes, validate fixes, and prevent regressions.
  • Monitor quality metrics, test coverage, and automation effectiveness to drive continuous improvement.
  • Leverage AI-assisted engineering tools to accelerate development, testing, documentation, and code reviews while ensuring quality, security, and maintainability.
  • Participate in architecture reviews, sprint planning, backlog refinement, and technical design discussions.
  • Contribute to engineering standards, automation best practices, and knowledge sharing across the organization.

What we look for

  • Experience developing software using Java, C#, Python, JavaScript/TypeScript, Scala, C++, or similar object-oriented languages.
  • Experience designing and maintaining automated testing frameworks for enterprise applications.
  • Hands-on experience with tools such as Playwright, Selenium, Cypress, Appium, JUnit, NUnit, pytest, Jest, or comparable technologies.
  • Experience testing web applications, REST APIs, backend services, data platforms, and event-driven systems.
  • Experience integrating automated testing into CI/CD environments using GitHub Actions, GitLab CI/CD, Azure DevOps, Jenkins, or similar tools.
  • Strong troubleshooting and problem-solving skills with experience using logging, debugging, and monitoring tools.
  • Experience working with Git, Agile development practices, and collaborative software delivery teams.
  • Experience with SQL and database testing, including relational and NoSQL technologies.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Knowledge of Docker, Kubernetes, cloud-native architectures, and distributed systems is a plus.
  • Experience using AI-powered development tools and evaluating AI-generated solutions with sound engineering judgment.
  • Healthcare technology or SaaS experience is preferred.

Education

  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field with a minimum of five years of professional experience; or
Source · TeleTrackingFirst seen 2 NovOriginal ↗