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Senior SDET — Quality &amp; Reliability Engineering About the RoleWe're hiring a Senior SDET to help drive the next evolution of quality engineering, combining automated functional validation, production health monitoring, and AI-driven failure analysis.This role focuses on ensuring our Disaster Recovery (DR) and production environments are not just available, but fully functional, continuously validated, and increasingly capable of self-diagnosis. The ideal candidate brings strong automation skills, systems thinking, and a genuine passion for improving reliability across complex distributed systems. What You'll DoYou'll design and build automated quality and validation systems that strengthen confidence in both production and disaster recovery readiness. Partnering closely with QA, SRE, and Engineering, you'll validate critical business workflows, improve observability, reduce alert noise, and accelerate incident detection and resolution.This is a role at the intersection of test automation, production reliability, and intelligent diagnostics, helping advance the shift from traditional QA toward more autonomous, resilient quality systems. Responsibilities<ul style="margin:0px;padding-left:40px;">
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Design and implement automated functional health checks for DR and production environments using synthetic transactions and API validation</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Build continuous validation pipelines that verify end-to-end business workflows such as authentication, transactions, and system integrations</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Develop intelligent alerting based on functional failures and customer-impacting behavior, not solely infrastructure metrics</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Integrate observability signals (logs, metrics, traces) with automated test frameworks to improve system visibility and diagnosis</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Develop AI/ML-driven approaches to detect failure patterns, correlate issues across services, and identify probable root causes</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Build systems that recommend or trigger automated remediation to support early-stage self-healing</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Partner cross-functionally with QA, SRE, and Engineering to improve reliability, incident response, and recovery readiness</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Define, measure, and report on functional SLAs, service health indicators, and quality metrics</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Contribute to disaster recovery drills, readiness exercises, and automated validation efforts</li>
</ul> What You Bring<ul style="margin:0px;padding-left:40px;">
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">5+ years in QA Automation, SDET, Software Engineering, or a related technical discipline</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Strong experience building and maintaining automated test frameworks (Playwright, Jest, SuperTest, REST API testing tools)</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Experience in cloud environments, preferably AWS</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Familiarity with observability platforms such as Datadog, New Relic, CloudWatch, or Splunk</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Strong programming skills in TypeScript, Python, Java, or similar</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Experience designing end-to-end test strategies for distributed systems and production-like environments</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Strong problem-solving skills across application, infrastructure, and workflow layers</li>
</ul> Nice to Have<ul style="margin:0px;padding-left:40px;">
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Synthetic monitoring, production validation, or proactive health-checking systems</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">AI/ML techniques for anomaly detection, log analysis, or failure correlation</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">CI/CD pipelines, release automation, and validation gates</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Understanding of microservices architecture and distributed system failure modes</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">SRE concepts, SLIs, SLOs, error budgets, production-readiness practices</li>
</ul>

Senior SDET — Quality & Reliability Engineering

About the Role

We're hiring a Senior SDET to help drive the next evolution of
quality engineering, combining automated functional validation,
production health monitoring, and AI-driven failure analysis.

This role focuses on ensuring our Disaster Recovery (DR) and
production environments are not just available, but fully
functional, continuously validated, and increasingly capable of
self-diagnosis. The ideal candidate brings strong automation
skills, systems thinking, and a genuine passion for improving
reliability across complex distributed systems.

What You'll Do

You'll design and build automated quality and validation systems
that strengthen confidence in both production and disaster
recovery readiness. Partnering closely with QA, SRE, and
Engineering, you'll validate critical business workflows, improve
observability, reduce alert noise, and accelerate incident
detection and resolution.

This is a role at the intersection of test automation, production
reliability, and intelligent diagnostics, helping advance the
shift from traditional QA toward more autonomous, resilient
quality systems.

Responsibilities

* Design and implement automated functional health checks for DR
and production environments using synthetic transactions and API
validation
* Build continuous validation pipelines that verify end-to-end
business workflows such as authentication, transactions, and
system integrations
* Develop intelligent alerting based on functional failures and
customer-impacting behavior, not solely infrastructure metrics
* Integrate observability signals (logs, metrics, traces) with
automated test frameworks to improve system visibility and
diagnosis
* Develop AI/ML-driven approaches to detect failure patterns,
correlate issues across services, and identify probable root
causes
* Build systems that recommend or trigger automated remediation
to support early-stage self-healing
* Partner cross-functionally with QA, SRE, and Engineering to
improve reliability, incident response, and recovery readiness
* Define, measure, and report on functional SLAs, service health
indicators, and quality metrics
* Contribute to disaster recovery drills, readiness exercises,
and automated validation efforts

What You Bring

* 5+ years in QA Automation, SDET, Software Engineering, or a
related technical discipline
* Strong experience building and maintaining automated test
frameworks (Playwright, Jest, SuperTest, REST API testing tools)
* Experience in cloud environments, preferably AWS
* Familiarity with observability platforms such as Datadog, New
Relic, CloudWatch, or Splunk
* Strong programming skills in TypeScript, Python, Java, or
similar
* Experience designing end-to-end test strategies for distributed
systems and production-like environments
* Strong problem-solving skills across application,
infrastructure, and workflow layers

Nice to Have

* Synthetic monitoring, production validation, or proactive
health-checking systems
* AI/ML techniques for anomaly detection, log analysis, or
failure correlation
* CI/CD pipelines, release automation, and validation gates
* Understanding of microservices architecture and distributed
system failure modes
* SRE concepts, SLIs, SLOs, error budgets, production-readiness
practices

Senior SDET remote from NYC, Seattle or the SF Bay Area

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Job Description