Software QA and Support Engineer (Remote)

SOLV Energy is hiring a Software QA and Support Engineer to build and maintain test automation, test complex custom software, and diagnose defects. The role also provides Tier 2 support and uses testing results, support trends, and usage data to guide product improvements.

Responsibilities:

• Achieve an expert-level understanding of our custom software: its features, design intent, integrations with other business platforms, and how field and business users rely on it
• Design, build, and maintain our test automation
• Use AI tools (e.g. Claude Code) to accelerate test creation, failure triage, and debugging, and push the capabilities of the team's AI-assisted workflows
• Develop test strategies for complex, evolving systems, including file ingestion, mapping, and analytics
• Collaborate with other QA team member(s) to plan and execute functional, regression, negative, and exploratory testing
• Write test cases and verify code changes against product requirements
• Prioritize and manage testing work independently using Jira, team tools, and release timelines
• Diagnose and fix defects yourself, working locally with Git and submitting changes through the team's standard code review and release process
• Provide Tier 2 support for our custom software: triage issues, resolve where possible, and escalate with clear, reproducible bug reports
• Use testing results, support trends, and usage data (such as user journeys in Datadog) to show the product team what needs to change and where root causes lie
• Document known fixes and testing practices in the team wiki
• Complete other responsibilities as assigned

Requirements:

• B.S. in Engineering, Computer Science, or related field, or equivalent experience
• 7+ years of software QA experience
• Hands-on experience designing and building test automation, not only maintaining existing frameworks
• Proficiency in at least one modern programming language, and a track record of learning new ones
• Experience making code changes in an existing codebase
• Practical experience using AI-assisted development or testing tools
• Experience testing software applications, identifying bugs, and validating features against product requirements
• Proficiency in Jira, Confluence, and Git
• Experience providing software support, including triage and troubleshooting
• Clear, concise communication with technical and non-technical stakeholders, such as software engineering, field, and business leadership
• Applicants must be legally authorized to work in the U.S. without requiring employer sponsorship now or in the future
• Evidence of solving complex technical problems end to end
• A track record of learning new technologies, domains, and languages, and growing in scope over your career
• Experience building tools or systems from scratch where none existed
• Experience testing data pipelines, analytics, or systems whose expected results change over time
• Critical thinking about how systems fail: finding root causes, not just symptoms
• Autonomy within a lean, fast-paced team