Software Validation Engineer

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Avionté is redefining how software gets built as we move to an AI-driven development lifecycle. In this model, validation isn't a phase that happens after development — it's continuous, embedded work that runs alongside Dev from the earliest planning conversations through delivery. As a Software Validation Engineer, you'll work directly inside our AI-DLC mobs, helping validate requirements before code is generated, reviewing architecture and test coverage side-by-side with engineers in real time, and building the automated systems that let the team trust AI-generated code at speed. This is a hands-on infrastructure role as much as a validation one: you'll be building CI gates, synthetic data systems, and test frameworks, not just reviewing output. 

This is what you'll do: 

  • Partner with Product and Engineering during early planning to make sure requirements and acceptance criteria are precise and testable before development begins 

  • Work alongside engineers throughout development, reviewing test scenarios and coverage in parallel with their architecture and code reviews, so validation and build happen together rather than sequentially 

  • Build and maintain automated validation frameworks that verify AI-generated code against defined intent at CI/CD speed 

  • Design and implement CI gates that enforce correctness thresholds before code can merge or ship 

  • Build synthetic data systems and test environments that give engineering teams realistic, safe conditions to validate against 

  • Query and inspect data layer behavior (SQL) to confirm AI-generated changes are correct beyond just the interface or API layer 

  • Monitor the health of validation systems themselves — coverage gaps, false positive/negative rates, drift over time — treating validation infrastructure as a product with its own reliability standards 

  • Identify workflow gaps where validation is happening too late or too separately from development, and help the team close them 

  • Contribute to defining validation standards and acceptance criteria for AI-generated work, in partnership with the Head of Validation Engineering 

  • Evolve validation tooling and practices as the team's AI-DLC processes mature 


This is what you'll need: 

  • 3+ years of experience in platform, infrastructure, automation, or QA engineering, with a strong track record of building systems rather than executing manual test plans 

  • Experience working as an embedded member of a cross-functional team rather than as a downstream reviewer of finished work 

  • Strong proficiency in SQL and the ability to reason about data-layer correctness 

  • Experience building or working within CI/CD pipelines, including designing gates and checks reliable enough to block a merge 

  • Ability to read and reason about code (C#/.NET or similar) well enough to evaluate whether AI-generated implementation is architecturally sound, not just functionally passing 

  • Experience with synthetic data generation or test environment engineering is a strong plus 

  • A systems mindset — you look for ways to make validation scale and self-verify, rather than checking things one at a time 

  • Strong written communication skills for documenting validation logic and decisions clearly for both technical and cross-functional audiences 

  • Genuine interest in AI-assisted software development and how it's changing engineering practice


This is what will set you apart: 

  • Experience on a team that has successfully moved away from sequential Dev-then-QA handoffs toward integrated, real-time collaboration 

  • Prior experience building validation, testing, or verification infrastructure as a platform or product, rather than a one-off project 

  • A track record of building a new engineering discipline or framework from the ground up


What success looks like: 

  • 30 days: Fully embedded with an assigned team; has observed and can clearly articulate where validation currently happens too late or too separately in the workflow 

  • 60 days: Has closed at least one workflow gap — either by integrating validation earlier into planning, or by shipping an automated check that removes a manual downstream step 

  • 90 days: Established as a core, real-time contributor to the team's development process; has proposed at least one process or tooling improvement adopted beyond their own team


Compensation & Salary Range 

The good-faith salary range for this position is $100,000 – $150,000 per year. Your actual base pay will depend on your skills, qualifications, and previous experience. 

 

Benefits & Perks 

At Avionté, we take care of our team. Eligible employees in this role receive a comprehensive benefits package, including: 

  • Health & Wellness: Comprehensive medical, dental, and vision insurance plans. 

  • Financial Security: 401(k) retirement savings plan with company matching contributions. 

  • Paid Time Off: Generous PTO policy and paid company holidays. 

  • Additional Incentives: Participation in our annual performance bonus program and more.

 

 

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