Software Validation Engineer

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 $120,000 - $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.