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Software Development Engineer – Test, AI
Delos Data. Design, develop, and maintain a robust automated testing framework from the ground up supporting distributed AI training and inference workloads .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong proficiency in Python for automation and orchestration, with proven experience in building and extending test automation frameworks for complex back-end systems. Capable of troubleshooting automated test failures in large-scale distributed systems and validating performance-critical primitives in AI frameworks.
Highest-signal resume keywords
Python ProficiencyTest Automation Framework DevelopmentDistributed Systems TroubleshootingContainerization (Docker/Kubernetes)CI/CD Tools (GitHub Actions, GitLab CI, Jenkins)
ATS Keywords
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Hard Skills
PythonTest Automation FrameworksDistributed SystemsStress TestingTelemetry ToolsProfiling ToolsHigh-Performance Networking ProtocolsDistributed File SystemsDrivers Interaction TestingRoot Cause Analysis
Tools & Technologies
DockerKubernetesGitHub ActionsGitLab CIJenkinsTerraformAnsible
Industry Keywords
AI FrameworksAutomated TestingSystem IntegrationPerformance TestingTest-Bed EnvironmentsComputer EngineeringComputer ScienceAuthorization to Work in Canada
Tech Stack
Tools & technologiesAnsibleDistributed SystemsDockerJenkinsKubernetesPythonTerraform
About the role
Key responsibilities & impact- Design, develop, and maintain a robust automated testing framework from the ground up supporting distributed AI training and inference workloads
- Develop complex test plans covering end-to-end system integration, stress testing, and hardware-software boundary conditions
- Partner with System Engineers to debug issues in distributed clusters using telemetry and profiling tools to identify bottlenecks
- Validate the intersection of distributed systems, GPU kernels, and AI frameworks
- Build a scalable foundation of trust in code and ensure performance-critical primitives work at any scale
Requirements
What you’ll need- Strong proficiency in Python for automation and orchestration
- Proven experience building or extending test automation frameworks for complex back-end systems
- Proven ability to troubleshoot automated test failures within complex large-scale distributed systems and identify root causes
- Experience with containerization (Docker/Kubernetes)
- Experience with modern CI/CD tools (GitHub Actions, GitLab CI, or Jenkins)
- Bachelor's or Master's degree in Computer Engineering, Computer Science, or a related field
- Experience with Kubernetes, Terraform, or Ansible for managing test-bed environments is desired
- Experience testing high-performance networking protocols or distributed file systems is desired
- Experience testing software that interacts directly with drivers or firmware is desired
- Authorization to work in Canada is required by the application form
Benefits
Comp & perks- Meaningful equity
- Benefits
- RRSP