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Ztek Consulting

Principal Software Development Engineer in Test (SDET)

trenton, NJ

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About this opportunity

Ztek Consulting lists this Principal Software Development Engineer in Test (SDET) opportunity in trenton, New Jersey. Review the employer’s description below for duties, qualifications and application requirements.

Job description

Position

Principal Software Development Engineer in Test (SDET)

Position Type

Full-time

Salary Range

$100,000 - $140,000 a year

Years of Experience

10 - 15 years

Desired Skills

SDET

Job Description

Playwright-Centric UI & Backend Automation Leadership (Core Expectation)

AI-Driven Quality Engineering (Strategic Expectation)

Data Quality & Backend Validation (Core Expectation)

Principal-Level Leadership & Influence

Domain Experience (Strong Advantage)

Experience Profile

10+ years in SDET / Test Automation / Quality Engineering. Demonstrated Principal-level influence across platforms, teams, and architecture decisions. Deep hands‑on experience designing and scaling Playwright‑based automation frameworks. Proven experience integrating AI‑assisted capabilities into modern test frameworks.

About the Role

We are seeking a Principal Software Development Engineer in Test (SDET) to lead and modernize quality engineering across UI, API, services, and data layers, with a strong emphasis on Playwright‑based and AI‑enabled automation frameworks.

Hands‑on Technical Leadership Responsibilities

Defining next-generation automation standards

Enabling continuous testing in Azure DevOps

Embedding AI‑assisted and agent‑driven quality practices across teams

You will partner closely with engineering, product, DevOps, and business stakeholders to drive quality by design, reduce production risk, and enable high‑confidence releases in complex, data‑driven systems—preferably within wealth management or financial services environments.

Data Quality & Backend Validation (Core Expectation)

Lead the design and automation of data quality validation frameworks across: Databases

System-to‑system integrations

Validate and automate checks for: Data completeness, accuracy, consistency, and reconciliation

ETL / ELT transformations

Batch jobs, scheduled processes, and file-based integrations (CSV / JSON / XML)

Build reusable data validation utilities using SQL and Python/Java

Implement automated reconciliation for financial or transactional data where applicable

Integrate data quality tests into CI/CD pipelines or scheduled automation runs with actionable reporting

Proactively identify data anomalies and quality risks before production releases

Drive quality engineering practices within Azure environments

Design and govern test execution strategies in Azure DevOps

Define test stages, quality gates, and reporting standards across pipelines

Ensure traceability across requirements, tests, defects, and releases

AI-Driven Quality Engineering

Champion the use of AI‑assisted tools (GitHub Copilot, Copilot agents, AI assistants) to: Accelerate test case generation

Improve automation code quality and maintainability

Analyze test failures, logs, and quality trends

Define guardrails and best practices for responsible AI usage in QA

Drive adoption of AI‑enabled productivity patterns across QE teams

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Worksite address

trenton, NJ, 08628, US

Who can apply

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