Staff Software Engineer in Test - Anywhere Cloud

Posted 2 Days Ago
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Budapest, HUN
In-Office
Senior level
Artificial Intelligence • Cloud • Software • Big Data Analytics
Shape the Global Future of Enterprise AI Come build the future of enterprise AI with a global team that puts its people
The Role
Design and own test strategy and automation frameworks for a multi-cluster cloud control plane. Build API-first REST test suites, automate end-to-end data application migrations (Spark, Airflow, data warehouses), validate Kubernetes workloads/CRDs/Helm, and integrate cross-team services. Provide technical leadership, mentor engineers, and ensure testability across CI/CD pipelines and distributed systems.
Summary Generated by Built In

Business Area:

Engineering

Seniority Level:

Mid-Senior level

Job Description: 

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry.  Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.

Ready to take cloud innovation to the next level? Join Cloudera’s Anywhere Cloud team and help deliver a true “build your own pipeline, bring your own engine” experience. enabling data and AI workloads to run anywhere, without friction or vendor lock-in.

We take the best of the public cloud- cost efficiency, scalability, elasticity, and agility and extend it to wherever data lives: public clouds, private data centers, and even the edge. Powered by Kubernetes, our hybrid architecture separates compute and storage, giving customers maximum flexibility and optimized infrastructure usage.

The Role

As a Staff Software Engineer in Test you will architect automation framework and tools that validates a highly distributed, multi-cluster control plane. You will own the test strategy for AWC—validating it both as an application installed via Taikun and as a platform that orchestrates other clusters. You will define how we verify application migrations, API-first contracts, and cross-cluster resource management.

This role is not eligible for immigration sponsorship.

As a Staff Software Engineer in Test you will:
  • Architect Test Infrastructure: Design and build a scalable test automation framework capable of handling AWC’s multi-cluster architecture. 

  • API-First Validation: Champion an API-first testing strategy. Since AWC uses a strict API-first design where the UI is a "thin client", you will build comprehensive test suites for public REST APIs 

  • Application Data Migration:  Automate end to end user flows for Data application migration involving Spark, Airflow and data warehouse products

  • Technical Leadership : Act as the prime technical contact for quality within the AWC organization. You will define testing standards, mentor senior engineers (IC2/IC3), and influence design decisions to ensure testability is baked into the architecture from day one.

  • Cross-Functional Collaboration: Partner with the Taikun (Kubernetes) and Foundational Services teams to integrate their components (Cert Manager, DBs, Logging) into the AWC test matrix.


We are excited if you have (Required Experience)

  • Bsc/Msc in related field or equivalent experience

  • Experience: 8+ years of professional Software in Test (SDET) or Quality Engineering experience, with a proven track record as a Staff/Lead Engineer (IC4) building large-scale test automation frameworks for distributed systems or cloud-native control planes.

  • Programming Languages: Expert-level coding proficiency in Go (Golang), Python, or Java to build robust test frameworks, mock services, and custom Kubernetes operators for testing.

  • Kubernetes Mastery: Deep expertise in testing Kubernetes workloads, validating Custom Resource Definitions (CRDs), managing Helm chart deployments, and interacting with container registries (OCI).

  • Engine & Data SME: Advanced, hands-on understanding of modern compute/streaming engine internals (Spark, Flink, Kafka) and Lakehouse architectures (Apache Iceberg).

  • Security & Networking: Strong understanding of modern zero-trust security perimeters, federated identity (OIDC/SAML), and K8s networking (Gateway API, Istio service mesh).

  • Modern CI/CD: Advanced knowledge of continuous integration workflows (Harness, FluxCD) and experience embedding rigorous system, upgrade, and scale tests into automated deployment pipelines.


What you can expect from us:

  • 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

EEO/VEVRAA

#LI-EO1

#LI-HYBRID

Skills Required

  • BSc/MSc in related field or equivalent experience
  • 8+ years professional Software in Test (SDET) or Quality Engineering experience with Staff/Lead engineer track
  • Proven experience architecting large-scale test automation frameworks for distributed systems or cloud-native control planes
  • Expert-level coding proficiency in Go (Golang), Python, or Java for building test frameworks, mocks, and operators
  • Deep expertise testing Kubernetes workloads, validating CRDs, managing Helm chart deployments, and interacting with OCI container registries
  • Advanced hands-on understanding of Spark, Flink, Kafka and Lakehouse architectures (Apache Iceberg)
  • Experience automating end-to-end application data migration flows involving Spark, Airflow, and data warehouse products
  • Strong understanding of zero-trust security, federated identity (OIDC/SAML), and Kubernetes networking (Gateway API, Istio)
  • Advanced knowledge of CI/CD workflows and tools (Harness, FluxCD) and embedding system, upgrade, and scale tests into pipelines
  • API-first testing experience building comprehensive public REST API test suites
  • Technical leadership experience: defining testing standards, mentoring senior engineers, and influencing architecture for testability

Cloudera Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cloudera and has not been reviewed or approved by Cloudera.

  • Fair & Transparent Compensation Pay practices are presented as equity-audited with a recognized Fair Pay Workplace certification and ongoing internal reviews. Compensation is often characterized as competitive for similar-sized peers, with visible market-aligned ranges for key roles.
  • Healthcare Strength Benefit descriptions emphasize comprehensive medical, dental, and vision coverage, alongside life and disability insurance, an EAP, wellness programming, and U.S. gym reimbursement. Health coverage is described as strong in practice.
  • Leave & Time Off Breadth Policies include generous PTO and holidays plus recurring companywide Unplugged Days that create extended weekends. Parental and medical leave are also highlighted as part of the core package.

Cloudera Insights

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The Company
HQ: Santa Clara, CA
3,092 Employees
Year Founded: 2008

What We Do

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.

Why Work With Us

Impact at Scale: The infrastructure we build solves massive problems for top global banks, telecommunications giants, and healthcare providers. Cutting-Edge Tech: Work directly at the intersection of Open Source, Machine Learning, and Generative AI. Unmatched Flexibility: Enjoy a remote-friendly, hybrid culture that respects your time—including

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