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Tech Stack
Tools & technologiesAirflowKafkaKubernetesPythonSpark
About the role
Key responsibilities & impact- Design and execute test plans validating the end-to-end cluster creation flow on a kubernetes platform
- Managing complex data modeling and schema drift, as well as embedding automated data quality checks and statistical anomaly detection directly into pipelines
- Working with governance layers to ensure policies like tag-driven Attribute-Based Access Control (ABAC), column-level masking, row-level filters, and zero-code lineage ingestion are accurately enforced at the data layer
Requirements
What you’ll need- 8+ years of software engineering experience with a focus on test automation, infrastructure, or backend development
- Expert-level proficiency in Python/Shell for scripting and automation
- Hands-on understanding of modern compute and streaming engine internals like Spark, Kafka, Trino, Airflow
- Understanding of Kubernetes internals (CRDs, Controllers, Operators, Namespaces)
- Ability to learn and develop AI enabled test automation frameworks
Benefits
Comp & perks- Generous PTO Policy
- Support work life balance with Unplugged Days
- Flexible WFH Policy
- Mental & Physical Wellness programs
- Phone and Internet Reimbursement program
- Access to Continued Career Development
- Comprehensive Benefits and Competitive Packages
- Paid Volunteer Time
- Employee Resource Groups
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonShell scriptingTest automationData modelingStatistical anomaly detectionKubernetesSparkKafkaTrinoAirflow
Soft Skills
Problem-solvingAttention to detailAdaptabilityCollaborationCommunication