Software Development Engineer

• Own quality across the entire SDLC - from requirements and design through development, release, and post-deployment - ensuring every stage meets the bar before moving forward
• Drive continuous quality improvement by identifying gaps, raising the bar on standards, and making sure the right checks are in place at every phase
• Design, build, and maintain automation frameworks and test suites across functional, API, performance, and regression layers
• Investigate and find root cause of failures - then build the right solution, not just a workaround
• Integrate AI tools into QA and release workflows to reduce manual effort, improve coverage, and accelerate delivery
• Develop release strategies that manage risk in a fast-paced environment - knowing when to ship, when to hold, and using AI to inform that decision
• Identify process inefficiencies and build scalable tools or automation to fix them, even outside your immediate scope
• Collaborate across engineering, product, and DevOps, communicate risks clearly, and keep stakeholders informed
• Write documentation and share knowledge so the whole team moves faster

• Bachelor's degree or higher in Computer Science, Computer Engineering, or a related technical field
• Demonstrated initiative and problem-solving mindset - point to something you built end-to-end that nobody assigned you
• Proficiency in one or more programming languages: C#, Java, Python, or JavaScript/TypeScript
• Solid foundation in web technologies and REST APIs
• Basic SQL knowledge for data validation
• Clear communicator - able to explain technical issues to both engineers and non-technical stakeholders
• Collaborative team player with a drive to learn, adapt, and grow

Preferred Qualifications:

• Experience with modern test automation frameworks such as Playwright, Selenium, or equivalent
• Understanding of CI/CD pipelines: Jenkins, GitHub Actions, TeamCity, or Azure DevOps
• Experience with or strong interest in AI-assisted testing tools (Copilot, Claude, or similar)
• Experience with release management and quality ownership across the SDLC
• Familiarity with observability tools such as Datadog, Splunk, or Grafana
• Knowledge of application frameworks: .NET, React, Spring, or Angular
• Experience with JIRA and test management tools such as Xray or Zephyr
• Experience with OutSystems or similar low-code platforms is a plus

The salary range reflected is a good faith estimate of base pay for the primary location of the position. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $90,000 - $120,000 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, experience and abilities of the successful candidate. Your recruiter can share more about the specific salary range for the job location during the hiring process.

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MetTel is a global communications solutions provider with the most complete suite of fully managed services that focus on secure connectivity, and network and mobility services. We simplify communications and networking for business and government agencies. Our customers include many of the Fortune 500, and Gartner recognizes us as an industry leader. We have the broadest portfolio of technology and integrated partnerships, as well as our private network, which we use to create tailored solutions design, deployment, and ongoing management, driving cost savings, efficiency, innovation, and the ability to focus on core objectives. We believe that each team member is a key to the success and sustainability of the group. In order to achieve this, we offer an environment where all professionals can grow and develop their skills and competencies, collaborate with diverse professionals, share knowledge and enjoy a rewarding career. MetTel is looking for a Software Development Engineer in Test (SDET) to join our QA Operations Testing team! SDET is not a role where you follow a checklist - we want someone who thinks like an engineer first: someone who digs past symptoms to find root cause, identifies gaps, and builds tools to close them. AI is changing how software is built and shipped. Development cycles are faster, release frequency is higher, and the complexity of what needs to be validated keeps growing. We need someone who is not just comfortable with that pace, but energized by it - someone who sees a problem and builds the fix before being asked.