Test Engineer - Cloud & Data Platform (Lakehouse)
Role details
Job location
Tech stack
Requirements
Terraform (IaC testing, unit tests, state management) | Advanced | GitLab CI/CD (pipeline testing, matrix jobs, artefacts) | Advanced | AWS data services (S3, IAM, Glue, Lake Formation, EventBridge, CloudWatch, Lambda) | Intermediate-Advanced | Security scanning tools (Checkov, tfsec) | Intermediate | Data platforms (Snowflake, Databricks, DBT, Apache Iceberg) | Intermediate | Python (test automation, pipeline utilities) | Intermediate | SRE practices (SLIs/SLOs, chaos engineering, performance testing) | Intermediate | Compliance testing (encryption, tagging, data residency) | Intermediate |
Required Experience 3-5+ years** in software testing, QA engineering, or platform engineering with a quality focus 2+ years** testing cloud infrastructure and IaC (AWS + Terraform or CloudFormation) Hands-on experience with CI/CD pipeline testing (GitLab CI or equivalent) Familiarity with data platforms (Snowflake, Databricks, DBT, or AWS Glue) Python scripting for test automation and utilities Experience with compliance and governance requirements in regulated industries
Preferred: AWS certification (any level) Experience in financial services or regulated environments Familiarity with SRE practices (error budgets, blameless postmortems) Bachelor's or Master's degree in Computer Science, Engineering, or related field