Senior Software Developer in Test (SDET)

Safety Chain•Grapevine, TX

4d•Hybrid

About The Position

SafetyChain Software is seeking a Senior SDET to drive and elevate our quality engineering initiatives. This role is built for someone who operates with high autonomy, takes initiative without waiting for direction, and can independently move complex testing efforts from idea to delivery. You’ll shape test architecture and strategy, introduce meaningful automation and performance improvements, and act as a force multiplier across engineering. You’ll also be expected to leverage modern AI-assisted engineering tools to accelerate analysis, test development, debugging, and documentation — treating AI as a practical productivity multiplier. While you’ll collaborate closely with QA, Development, Product, and Support, much of your impact will come from transforming ambiguity into working solutions and moving projects forward with minimal red tape. Who We Are: SafetyChain is a rapidly scaling B2B SaaS provider revolutionizing plant management for Food and Beverage manufacturers by improving yield, maximizing productivity, and ensuring compliance. Our impressive client base includes renowned brands like Albertsons, Clif Bar, Tyson Foods, and Whole Foods. Join a dynamic, collaborative team driven by innovation, agility, and rapid growth.

Requirements

8+ years in QA, including 3+ years as an SDET with demonstrated senior-level ownership of automation and delivery.
Expertise in automated testing and framework design, with strong TypeScript skills and experience in Playwright and Selenium (or equivalent).
Strong experience with REST API testing, including test orchestration, mocking, contract testing, and integration validation.
Hands-on performance and load-testing experience using JMeter, with the ability to interpret results and identify bottlenecks.
Solid understanding of CI/CD pipelines and experience integrating automation into GitHub Actions or equivalent.
Proficiency in SQL and experience validating complex datasets, business logic transformations, and multi-stage data flows.
Experience with BDD/Gherkin and abstraction of test definitions, including designing structured, maintainable, reusable test flows.
Experience with tools such as Xray, GitHub, Azure DevOps, SonarCloud, DataDog.
Fluency with AI-assisted engineering tools (copilots, test-generation assistants, log-analysis agents) and the ability to use AI to meaningfully increase testing velocity and insight.
Proven ability to work autonomously, drive work to completion, and make progress without heavy direction.
Strong communication and cross-functional collaboration skills.
Ability to adapt quickly based on changing priorities, projects, or organizational goals.
Must reside in or willing to relocate to the Dallas - Fort Worth metroplex

Nice To Haves

Background supporting SaaS or enterprise platforms with complex backend systems.
Experience contributing to or guiding team-level test processes and documentation.
Demonstrated mentorship experience, helping level up other QA or SDET team members.
Experience with mobile testing (manual or automated).
Familiarity with ELT/ETL validation or analytics workflows.
Experience with modern data-platform technologies (e.g., Snowflake, Databricks, dbt, BigQuery, Redshift).
Experience with reporting and analytics tools (e.g., Jira dashboards, EazyBI, Allure).
Understanding of AI/automation concepts or experimentation with AI-assisted testing workflows.
Prior exposure to manufacturing, food & beverage, industrial, or compliance-driven industries.

Responsibilities

Architect, implement, and maintain end-to-end automated testing frameworks for web and mobile applications using TypeScript with Playwright and WebDriverIO.
Implement and evolve test approaches across functional, regression, integration, UI, performance, and load testing layers.
Integrate and maintain automated tests within our CI/CD pipelines in GitHub Actions.
Analyze performance testing using JMeter and proactively identify bottlenecks.
Own test case traceability using Xray and drive release testing from inception through delivery.
Serve as a technical go-to person for automation and tooling, offering code reviews, best practices, and implementation guidance.
Support observability, diagnostics, and issue triage in production environments alongside DevOps and Product teams.
Test data-warehouse and analytics pipelines, reviewing transformations, metric logic, and end-to-end data flow.
Perform data-quality validation (accuracy, completeness, consistency, schema evolution).
Collaborate with data engineering on data contracts to ensure reliable and trustworthy analytics outputs.
Identify quality gaps and independently drive solutions to completion with minimal oversight.
Move projects forward even when requirements are ambiguous, balancing autonomy with timely collaboration.
Use AI-assisted tools to accelerate automation, analysis, debugging, data validation, and documentation across the testing lifecycle.