Base Salary
$150k - $175k/yr
Responsibilities
- Design and implement automated functional health checks for disaster recovery and production environments using synthetic transactions and API validation.
- Build continuous validation pipelines for end-to-end workflows including authentication, transactions, and system integrations.
- Develop intelligent alerting based on functional failures and customer-impacting behavior.
- Integrate logs, metrics, and traces with automated test frameworks to improve visibility and diagnosis.
- Develop AI/ML-driven methods to detect failure patterns, correlate issues across services, and identify probable root causes.
- Build systems that recommend or trigger automated remediation actions for early self-healing capabilities.
- Partner with QA, SRE, and Engineering teams to improve service reliability, incident response, and recovery readiness.
- Define, measure, and report functional SLAs, service health indicators, and quality metrics.
- Contribute to disaster recovery drills, readiness exercises, and automated validation efforts.
Requirements
- 5+ years of experience in QA Automation, SDET, Software Engineering, or a related technical discipline.
- Strong experience building and maintaining automated test frameworks using tools such as Playwright, Jest, SuperTest, and REST API testing frameworks.
- Experience working in cloud environments, preferably AWS.
- Familiarity with Datadog, New Relic, CloudWatch, Splunk, or similar observability and monitoring 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.
- Ability to analyze failures across application, infrastructure, and workflow layers.
- Preferred: experience with synthetic monitoring, production validation, or proactive health-checking systems.
- Preferred: exposure to AI/ML techniques for anomaly detection, log analysis, or failure correlation.
- Preferred: experience with CI/CD pipelines, release automation, and validation gates.
- Preferred: understanding of microservices architecture, distributed-system failure modes, and incident management practices.
- Preferred: familiarity with SRE concepts such as SLIs, SLOs, error budgets, and production-readiness practices.
Tech Stack
Categories
About Socure
Socure is the leading platform for digital identity verification, compliance and fraud prevention solutions, trusted by the largest enterprises and government agencies to build trust and mitigate risk. Leveraging AI and machine learning, Socure’s industry-leading platform achieves the highest accuracy, automation, and capture rates in the industry. Serving more than 3,000 customers and 190+ countries across financial services, government, gaming, healthcare, telecom, and e-commerce, Socure’s customer base includes 18 of the top 20 banks, 4 of the Mag 7, the largest HR payroll and workforce providers, the largest sportsbook and prediction market operators, 130 public sector organizations including state and federal agencies across the public sector, and more than 600 fintechs. Leading organizations trust Socure to deliver certainty in identity across onboarding, authentication, payments, account changes, and regulatory compliance. Learn more at www.socure.com.