Senior Test Automation Engineer leading system and integration testing for cloud-native Digital Platform. Designing automated tests and frameworks to ensure platform reliability and quality.
Responsibilities
Define and evolve the automation strategy for system-level and integration testing across the Digital Platform
Design and implement scalable automated system tests for critical end-to-end workflows spanning microservices
Develop reusable testing frameworks, libraries, and templates to standardize automation across teams
Analyze logs, traces, metrics, and observability signals to identify system defects and performance bottlenecks
Mentor team members and contribute to building a high-performance Quality Engineering culture
Create and maintain dashboards for test coverage, reliability metrics, and system health indicators
Collaborate with DevOps to integrate automated system tests into CI/CD pipelines and expand shift-left testing
Drive root-cause analysis and support cross-functional debugging of complex distributed issues
Work closely with architecture, development, and product teams to ensure feature readiness and alignment with quarterly milestones
Requirements
Bachelor's Degree or equivalent years of relevant work experience
Legal authorization to work in the U.S. We will not sponsor individuals for employment visas, now or in the future, for this job opening.
Typically requires 5+ years of experience in system, integration, or platform testing for distributed or cloud-native systems
Expertise in Python, automated test frameworks (pytest), and building extensible automation libraries
Deep understanding of gRPC, RESTful APIs, protobuf, and schema-based contract validation
Hands-on experience with Kafka, MQTT, AMQP, or other message brokers for event-driven architectures
Strong proficiency with Docker, Kubernetes, Helm, and cloud-native deployment ecosystems
Experience with logging, tracing, and observability stacks (ELK, OpenTelemetry, Prometheus, Grafana, etc.)
Ability to debug complex microservice interactions using logs, metrics, traces, and profiling tools
Experience with industrial automation
Understanding of tag-based data models, asset/metadata discovery services, or catalog-driven orchestration
Familiarity with platform interoperability testing, system-level data flow validation, and large-scale distributed testing.
Benefits
Health Insurance including Medical, Dental and Vision
401k
Paid Time off
Parental and Caregiver Leave
Flexible Work Schedule where you will work with your manager to enjoy a work schedule that can be flexible with your personal life.
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