Engineer III, Cloud SDET - Platform

Jobtailor

Sunnyvale (CA)

On-site

USD 140,000 - 190,000

Full time

14 days+

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Job summary

Jobtailor is seeking an experienced SDET/Backend QA expert to architect scalable test automation for cloud-based SaaS products. You will drive frameworks, pipelines, and performance testing across distributed systems and endpoint integrations.

You will mentor engineers, review designs for testability and security, and ensure robust regression coverage in production-like environments with real cloud deployments.

Qualifications

  • 6+ years of experience as an SDET or Backend Developer.
  • 3+ years building testing frameworks and tooling for Cloud SaaS products.
  • Strong CS fundamentals in algorithms, data structures, and distributed systems.

Responsibilities

  • Architect and deliver scalable test automation solutions for enterprise-scale workloads.
  • Design and implement scalable test automation frameworks for complex distributed systems involving cloud services and endpoint agent software.
  • Develop comprehensive test strategies for security-critical features, focusing on reliability, accuracy, and performance at scale.
  • Review engineering technical designs for testability, security implications, and potential edge cases.
  • Create and maintain cloud-based test infrastructure simulating real-world deployment scenarios.
  • Build tools and frameworks for testing agent-cloud interactions, data processing pipelines, and API integrations.
  • Drive root cause analysis for production issues and implement automated regression tests.
  • Mentor team members on test automation best practices and security-conscious testing approaches.
  • Collaborate across engineering teams to drive testing best practices.
  • Take ownership of quality initiatives spanning cloud services, data processing, and customer-facing applications.

Skills

Test Automation
Cloud SaaS Testing
Distributed Systems
Algorithms
Data Structures
REST
gRPC
Protocol Buffers
Debugging

Education

Bachelor's degree in Computer Science or related field

Tools

Docker
Kubernetes
PostgreSQL
Cassandra
Redis
JMeter
Gatling
New Relic
Datadog
Prometheus/Grafana

Job description

  • Architect and deliver scalable test automation solutions for enterprise-scale workloads
  • Design and implement scalable test automation frameworks for complex distributed systems involving cloud services and endpoint agent software
  • Develop comprehensive test strategies for security-critical features, focusing on reliability, accuracy, and performance at scale
  • Review engineering technical designs for testability, security implications, and potential edge cases
  • Create and maintain cloud-based test infrastructure simulating real-world deployment scenarios
  • Build tools and frameworks for testing agent-cloud interactions, data processing pipelines, and API integrations
  • Drive root cause analysis for production issues and implement automated regression tests
  • Mentor team members on test automation best practices and security-conscious testing approaches
  • Collaborate across engineering teams to drive testing best practices
  • Take ownership of quality initiatives spanning cloud services, data processing, and customer-facing applications
Requirements
  • 6+ years of combined experience as an SDET or Backend Developer
  • 3+ years building testing frameworks and tooling for Cloud SaaS products
  • Strong computer science fundamentals in algorithms, data structures, and distributed systems
  • Expertise in at least one of Go, Python, Java, C++, or JavaScript/TypeScript
  • Deep understanding of cloud architectures and microservices
  • Experience with REST, gRPC, Protocol Buffers, or similar web-service technologies
  • Experience with PostgreSQL, Cassandra, Redis, or similar databases
  • Experience with Docker, Kubernetes, or similar container orchestration platforms
  • Experience with CI/CD pipelines and testing in cloud environments such as AWS, Azure, or GCP
  • Strong debugging skills for complex distributed systems
  • Experience with cloud performance testing and monitoring tools such as JMeter, Gatling, New Relic, Datadog, or Prometheus/Grafana
  • Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency, and drive business outcomes
  • Periodically undergo and pass additional background and fingerprint checks consistent with government customer requirements
  • Bonus qualifications include security-product, endpoint-agent, EDR, real-time data processing, open-source security, MITRE ATT&CK, chaos engineering, resilience testing, threat detection, incident response, or security operations experience
Core Competencies

Demonstrates expertise in architecting scalable test automation solutions and frameworks for cloud-based environments, with a strong focus on security, performance, and reliability. Proven ability to mentor teams and drive quality initiatives across engineering disciplines.

Highest-signal resume keywords
  • Test Automation Framework Development
  • Cloud SaaS Product Testing
  • Expertise in Go, Python, Java, C++, or JavaScript/TypeScript
  • Experience with CI/CD Pipelines
  • Cloud Performance Testing Tools
ATS Optimization Keywords
Hard Skills
  • Test Automation
  • Cloud Architecture
  • Microservices
  • Algorithms
  • Data Structures
  • Distributed Systems
  • Debugging
  • REST
  • GRPC
  • Protocol Buffers
Soft Skills
  • Mentoring
  • Collaboration
  • Ownership
Industry Keywords
  • Security-Critical Features
  • Cloud Services
  • Endpoint Agent Software
  • AI Technologies
  • Chaos Engineering
  • Resilience Testing
  • Threat Detection
  • Incident Response
  • MITRE ATT&CK
  • Open-Source Security
Tools & Technologies
  • Docker
  • Kubernetes
  • PostgreSQL
  • Cassandra
  • Redis
  • JMeter
  • Gatling
  • New Relic
  • Datadog
  • Prometheus/Grafana
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