Senior Software Engineer in Test, Cloudera

Anywhere Cloud

Salary not provided

Kubernetes

Python

Kafka

Airflow

Spark

Senior and Expert level

San Francisco Bay Area

Office located in San Jose, CA

Hybrid cloud platform for any data

Be an early applicant

Hybrid cloud platform for any data

1001+ employees

B2BArtificial IntelligenceEnterpriseBig dataAnalyticsMachine LearningCloud Computing

Be an early applicant

Salary not provided

Kubernetes

Python

Kafka

Airflow

Spark

Senior and Expert level

San Francisco Bay Area

Office located in San Jose, CA

1001+ employees

B2BArtificial IntelligenceEnterpriseBig dataAnalyticsMachine LearningCloud Computing

Company mission

To deliver an enterprise data cloud that provides cloud-native services to manage and secure the entire data lifecycle from ingest to experimentation, from the Edge to AI, in any cloud or data center.

Job

Company

Role

Who you are

AI First Mindset : Ability to learn and develop AI enabled test automation frameworks
Engine SME Expertise : Hands-on understanding of modern compute and streaming engine internals like Spark, Kafka, Trino, Airflow
Kubernetes Expertise: Understanding of Kubernetes internals (CRDs, Controllers, Operators, Namespaces). You must understand how to debug and test complex Helm chart deployments and dependencies
Language Proficiency: Expert-level proficiency in Python/Shell for scripting and automation
Education: Bachelor’s or Master’s degree in Computer Science or equivalent experience
Experience: 8+ years of software engineering experience with a focus on test automation, infrastructure, or backend development

What the job involves

The Anywhere Cloud (AWC) team is building Cloudera’s next-generation unified control plane
We are moving beyond traditional UI-driven workflows to an "AI-First" architecture
AWC enables the deployment of Data Services (like Spark, Trino, and Cloudera AI) across hybrid and multi-cloud environments. Our platform orchestrates complex Kubernetes infrastructures, foundational services (Service Mesh, Auth, Logging), and data engines
This is essentially a data engineer role for the designation of Senior Software Engineer in Test
You will not just write tests; you will write automation and tools to validate Cloudera certified data pipelines
You will own the test strategy for designing, building, and executing custom data pipelines also known as Blue Prints
You will leverage your deep domain expertise in data ecosystem engines like Spark, Kafka, Apache Polaris, Trino, Airflow and Lakehouse architectures to validate end to end use cases via custom blueprint
Your work will directly guarantee the functioning of the data pipeline for relevant use cases
End-to-End Data Pipeline Validation: Design and execute test plans validating the end-to-end cluster creation flow on a kubernetes platform
Data Modeling & Proactive Data Quality: Managing complex data modeling and schema drift, as well as embedding automated data quality checks and statistical anomaly detection directly into pipelines to shift away from reactive, manual quality processes
Unified Data Governance Integration: 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 (e.g., Octopai) are accurately enforced at the data layer

Our take

Cloudera was founded in 2008 by former employees at Silicon Valley’s leading companies, including Google, Yahoo!, Oracle and Facebook. The firm aims to empower people to transform complex data into clear and actionable insights. This helps organisations across all industries solve age-old problems.

The platform enables users to gather real-time insights from an ever-increasing amount of big data to drive value and competitive differentiation. Although Cloudera competes with the likes of AWS, HP and IBM, it has a strong foothold itself - continuing to enhance its value through development and acquisition.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

-8% employee growth in 12 months

Glassdoor (4.1)

Company

Funding (last 2 of 6 rounds)

Mar 2014

$900m

SERIES F

Dec 2012

$65m

SERIES E

Total funding: $1.0bn

Company benefits

Comprehensive medical, dental, and vision plans
On-site gyms at various locations
Gym reimbursement
Paid medical disability & child bonding leaves
Volunteer time off policy
Quarterly team building offsites
Tuition reimbursement
Free and catered lunches based on office location
Discount programs
Business travel insurance
Work from home opportunities

Company HQ

Santa Clara, CA

Leadership

Charles Sansbury

(CEO)

Previously President and CEO at ASG Technologies, COO and CFO at The Attachmate Group, and CFO at Vignette Corporation.

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