Software Development Engineer in Test

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 mechanisms based on functional failures and customer-impacting behavior, not solely infrastructure metrics.

Integrate observability signals including logs, metrics, and 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 actions to support early-stage self-healing capabilities.

Partner cross-functionally with QA, SRE, and Engineering teams to improve service 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 that improve resilience over time.

5+ years of experience in QA Automation, SDET, Software Engineering, or a related technical discipline.

Strong experience building and maintaining automated test frameworks, including tools such as Playwright, Jest, SuperTest, and REST API testing frameworks.

Experience working in cloud environments, preferably AWS.

Familiarity with observability and monitoring platforms such as Datadog, New Relic, CloudWatch, Splunk, or similar tools.

Strong programming skills in TypeScript, Python, Java, or similar languages.

Experience designing end-to-end test strategies for distributed systems and production-like environments.

Strong problem-solving skills, with the ability to analyze failures across application, infrastructure, and workflow layers.

Experience with synthetic monitoring, production validation, or proactive health-checking systems.

Exposure to AI/ML techniques for anomaly detection, log analysis, or failure correlation.

Experience with CI/CD pipelines, release automation, and validation gates.

Understanding of microservices architecture, distributed system failure modes, and incident management practices.

Familiarity with SRE concepts such as SLIs, SLOs, error budgets, or production-readiness practices.

Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly.

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