Sr. SDET

Job Description

We're looking for a deeply experienced Senior Software Engineer in Test with fluency in scalable frameworks, advancing service-oriented architecture (SOA) practices, and enabling teams to achieve operational excellence through technical innovation and modern tooling.

As AI-powered tools increasingly accelerate code generation, the role of engineering is evolving, shifting focus from writing code to orchestrating, reviewing, and rigorously validating it. In this landscape, software engineers in test serve as a vital line of defense, ensuring that the speed of automation never outpaces the quality and reliability of what we ship.

This role is not about producing baseline test automation quickly with an AI tool of your choice. It's about collaboration, making sound decisions, and setting direction as a technical advisor for scalable automation, software quality, and modern AI adoption. You will leverage AI agents as force multipliers while maintaining a high bar for correctness, maintainability, testability, and operational excellence.

Success here depends on engineering judgment-choosing the right solution, not just producing code.

Hybrid: NYC office 3 days/week (commutable distance required)

Key Responsibilities

Architect, build, and own scalable test infrastructure and automation frameworks that support multiple product initiatives and teams.

Lead cross-team quality and test automation initiatives, acting as a subject matter expert in automation, testability, and service-oriented architecture.

Develop automation solutions, including tools, frameworks, pipelines, and tests, to support continuous testing and reliable CI/CD delivery.

Expand automated test coverage across web, API, integration, and service layers using tools such as Playwright or related tooling.

Build and maintain test containers to enable consistent, scalable, and reliable automated testing across development and lower-level environments.

Identify and remediate technical debt in automation frameworks and modernize legacy systems with modern tools and methodologies.

Instrument and monitor features using DataDog and other observability tools to ensure system health, resilience, and safe deployments.

Participate in design and code reviews with an emphasis on testability, architectural clarity, long-term maintainability, and developer experience.

Leverage AI assistants/agents for prototyping, scaffolding, refactoring, and exploratory development, then harden solutions through rigorous validation, edge-case coverage, and reliable execution.

Establish quality goals and metrics to measure effectiveness and drive continuous improvement.

Partner closely with engineering, product, and SRE teams to align automation strategies with organizational goals and delivery priorities.

Mentor and develop engineers through paired programming, documentation, and thoughtful, structured feedback.

Salary Range for this role is $170,000 - $190,000

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

8+ years of experience in software engineering with a strong focus on test automation and developer enablement.

Proven expertise in architecting, scaling, and maintaining complex automated test frameworks and pipelines for modern web applications.

Extensive hands-on experience with modern test automation tools such as Playwright, Cypress, Selenium, or similar.

Strong proficiency in TypeScript/JavaScript, with experience building reliable, maintainable, and scalable test frameworks (React experience strongly preferred).

Deep understanding of browser internals, including HTML forms, navigation, accessibility, performance, and rendering behavior.

Experience designing testing strategies that balance unit, integration, and end-to-end coverage.

Comfort working across the full data flow, from REST APIs to rendered UI experiences.

Experience with CI/CD pipelines, automated testing at scale, and infrastructure-as-code.

Hands-on experience with cloud-native environments (AWS preferred) and containerization technologies such as Docker and Kubernetes.

Familiarity with DataDog and/or other telemetry tools to ensure system health and observability in production.

Demonstrates organizational impact through mentoring, technical leadership, and driving adoption of quality and automation best practices.

AI-Assisted Engineering Expectations

Hands-on experience with tools like Cursor (or equivalent AI-augmented IDEs) and all modern coding models.

Practical understanding of where AI is strong vs. where it falls short, paired with sound discernment in its application.

Ability to use AI agents to quickly project multiple approaches, compare tradeoffs, and converge on the best solution without shipping "AI-shaped" code.