What are the responsibilities and job description for the Senior SDET Engineer (Full Stack + Cloud + AI) position at Pebal Bright Technologies LLC?
Senior SDET Engineer (Full‑Stack Cloud AI).
Dallas, Texas.
6 Months Contract Position.
Candidate have to go for F2F Interview.
Key Responsibilities
- Build and maintain automation frameworks for API, microservices, frontend UI, and integration testing.
- Develop internal tools, SDKs, and test harnesses that improve developer productivity and system reliability.
- Contribute to frontend development using modern frameworks such as React, Angular, or Vue, ensuring testability and accessibility.
- Contribute to backend development of microservices, APIs, and distributed systems using Python or Java.
- Architect CI/CD‑ready test pipelines integrated with AWS cloud infrastructure (Lambda, ECS/EKS, S3, CloudWatch, DynamoDB).
- Implement AI‑augmented testing workflows using Amazon Bedrock for automated test generation, log analysis, and anomaly detection.
- Build performance, load, and resilience testing strategies for both frontend and backend systems.
- Collaborate with engineering teams to design testable architectures, enforce quality gates, and improve observability.
- Drive root‑cause analysis for production issues and build automated regression protections.
- Mentor engineers on automation, code quality, and AI‑assisted testing best practices.
Required Qualifications
- 5 years as an SDET, Software Engineer, or Full‑Stack Developer.
- Strong coding skills in Python or Java with production‑grade engineering experience.
- Hands‑on frontend development experience (React, Angular, Vue, or similar).
- Hands‑on backend development experience with APIs, microservices, and distributed systems.
- Expertise in API testing, contract testing, and service‑level automation.
- Experience building automation frameworks from scratch.
- Strong understanding of CI/CD pipelines and automated quality gates.
- Experience with AWS services (EC2, Lambda, S3, IAM, CloudFormation/Terraform).
- Experience integrating or building solutions using LLMs or Amazon Bedrock.
- Familiarity with containers (Docker) and orchestration (Kubernetes).
Preferred Qualifications
- Experience with frontend automation tools (Playwright, WebdriverIO).
- Experience with distributed tracing and observability tools (CloudWatch, Datadog, Open Telemetry).
- Knowledge of performance testing tools (k6, Gatling, Locust).
- Experience with event‑driven architectures (Kafka, SNS/SQS).
- Background in security testing or chaos engineering.
- Contributions to internal or open‑source testing frameworks.
Salary : $60 - $70