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 s 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.

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

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

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

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

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.

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.