Senior QA EngineerAbout VoltAt
Volt Labs, we’re building the infrastructure layer behind modern business messaging. Our platform helps companies navigate messaging compliance, onboarding, deliverability, routing, and operational complexity across carriers and providers.We are a remote-first, high-ownership team operating in a fast-moving growth environment. We care deeply about builder mentality, operational excellence, speed with accountability, and creating systems that scale.We are looking for engineers who want to help define the future of Messaging Ops while using AI as a core part of how they build, test, troubleshoot, and improve software quality.Role OverviewWe are hiring a Senior QA Engineer to own and scale quality processes across Volt’s platform, infrastructure, and customer-facing systems.This role carries ownership: defining test strategy, building automation infrastructure, driving release confidence, and setting the quality bar for the engineering team. You will work closely with Engineering, Product, Customer Operations, and Leadership to improve quality standards and reduce production risk as the platform scales rapidly.This is not a traditional manual-only QA role. We’re looking for someone who thinks like a systems builder and who can define strategy, build automation infrastructure, and operate with enough technical depth to own QA environment management within our AWS infrastructure, without needing to wait on a dedicated DevOps resource.Just as important: this is a team role. Our engineering group is small, tight-knit, and collaborative. We cover for each other, give candid feedback without ego, and take pride in raising the collective quality of the work. We’re looking for someone who adds to that culture, someone who wants to build great things alongside great people.The ideal candidate is highly organized, technically deep, process-oriented, and comfortable operating with senior-level ownership in a startup environment where systems are evolving quickly.What You’ll DoOwn and continuously improve QA strategy, processes, and standards across engineering and product workflowsDesign and build automated testing infrastructure for platform reliability and release confidence Not just execute tests, but build the systems that run themDefine and maintain test plans, regression testing, and release validation processesIdentify gaps in testing coverage and operational risk areas, and drive resolutionPartner with Engineering and Product to set and enforce quality gates in the development and release workflowOwn staging and QA environment management within AWS, including deployment of code into pre-production environmentsDocument bugs clearly with reproducible steps and business impact contextDrive observability, monitoring validation, and production issue analysisLead API testing, workflow testing, and operational scenario validation with an emphasis on back-end platform and infrastructure coverage over UI testingActively support peers through knowledge sharing, filling coverage gaps, and contributing to team-wide quality standards, not just owning your own test surfaceLeverage AI tooling to improve test generation, bug analysis, automation, documentation, and troubleshootingBuild and maintain scalable QA documentation, standards, and operational playbooksAI Expectations for This RoleAI is not an add-on at Volt, it’s woven into how we build and test. We’re excited about what’s possible when strong QA fundamentals meet modern AI-enabled workflows, and we’re looking for someone who shares that excitement. Ideally, you’ve moved beyond dabbling, you’ve been part of a team that has transitioned to AI-augmented QA practices, and you can bring that experience with you: what worked, what didn’t, and how to make it stick. Because this is platform and infrastructure work, high-scale, transactional, API-driven systems, that kind of applied experience matters far more to us than a background in UI or front-end testing.What that looks like in practice:Systematic use of AI-assisted test generation and coverage analysis, not just ad hoc toolingAI-assisted bug analysis and triageAutomated regression coverage at scaleRelease validation automationTest documentation generationOperational workflow simulationsRoot-cause analysis supportHelping the broader team grow its own AI-enabled QA practices over time — we’re all learning togetherWhat We’re Looking ForProven experience in senior QA engineering, software testing, or release managementStrong understanding of QA methodologies, testing lifecycles, and test strategy at the system levelExperience building and owning automated testing frameworks and infrastructure, not just using themStrong API testing and back-end platform testing experienceAbility to think strategically about operational risk, edge cases, and quality at scaleComfort with AWS environments and the ability to manage deployments into staging and QA environments independentlyStrong documentation and communication skillsExperience working cross-functionally with Engineering and Product teams, with the credibility to influence quality standardsAbility to operate independently and drive quality initiatives while actively supporting and collaborating with a small, high-trust teamA collaborative, low-ego approach to peer feedback and shared ownership of qualityComfortable operating in fast-moving startup environments with high ownership expectationsStrong troubleshooting and analytical mindsetActual, hands-on experience with AI-enabled testing workflows and agentic tooling, ideally in an environment that has made the shift from traditional QA practicesNice to HaveExperience testing high-volume platforms or messaging systemsHands-on experience with AWS services relevant to deployment and environment management (ECS, CodePipeline, CloudWatch, or similar)Familiarity with CI/CD pipelines and deployment workflowsExperience with observability and monitoring platformsExperience with performance or load testing at scaleFamiliarity with SQL and database validation workflowsExperience building QA automation infrastructure from the ground upDeep familiarity with agentic tooling and AI-assisted QA at the team or org levelHow We WorkRemote-first team with high ownership and accountabilitySmall, highly collaborative environment. Everyone fills in, no one operates on an islandFast iteration cycles and direct access to leadershipStrong builder culture with low ego and a commitment to peer feedbackBias toward action, clarity, and operational excellenceAI-forward engineering mindset, actively evolving our practicesWhy VoltOpportunity to build and own foundational QA systems during a major growth stageHigh-impact role with visibility across the business and direct influence on engineering qualityAbility to define quality standards and shape engineering maturityWork closely with experienced founders and technical leadershipHelp improve reliability for mission-critical messaging infrastructureJoin a team that invests in each other and works hard to get better togetherLocationRemote (U.S. preferred)
17 days ago