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Full-time
Generous PTO Policy, Unplugged Days, Flexible WFH Policy, Mental & Physical Wellness Programs, Phone and Internet Reimbursement Program, Continued Career Development
Posted 29d ago
Apply by Jul 17
~40 hrs/week
Responsibilities
Own the execution and automated validation of performance testing for a highly distributed, multi-cluster control plane. Implement robust test suites to evaluate Zero-Trust security models and resource management under heavy loads.
Requirements
Requires 5+ years of experience as an SDET or Performance Engineer in cloud-native environments. Proficiency in Kubernetes, load generation tools, and programming languages like Python, Go, or Java is essential.
Full job description
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.
Team Overview
Ready to take cloud innovation to the next level? Join Cloudera’s Anywhere Cloud (AWC) 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 Senior Software Engineer in Test, specializing in Performance and Scale, you will own the execution, automated validation, and continuous performance testing of our highly distributed, multi-cluster control plane. You will implement robust performance test suites and test tools to validate AWC both as an application installed via Taikun and as a platform that orchestrates other clusters. You will be responsible for defining and running localized performance test suites to evaluate Zero-Trust security models, API-first contracts, and cross-cluster resource management under heavy loads.
Key Responsibilities
Performance Framework Implementation & Scaling: Build, scale, and maintain comprehensive automated performance test suites capable of validating the core control plane, cluster provisioning, and multi-cluster engine deployments.
Performance Baseline Ownership: Create and execute baseline test suites for measuring performance metrics and tracking regressions from release to release.
Data Layer & Metastore Scale Validation: Implement high-concurrency test configurations for containerized metadata and storage layers to ensure they meet strict enterprise targets for vast table limits, high operations per second, and low-latency read operations.
Profiling & Optimization Execution: Profile microservices performance, isolate infrastructure resource utilization bottlenecks (CPU, Memory, I/O), and work alongside backend core engineering to implement recommendations.
Mentorship & Best Practices: Mentor junior and mid-level test engineers (IC1/IC2) on distributed systems performance engineering best practices and automation standards.
Cross-Functional Execution: Collaborate closely with the Taikun (Kubernetes) and Foundational Services teams to integrate external components into the automated AWC performance test matrix.
Requirements
Experience: 5+ years of professional experience as a Software Engineer in Test (SDET), Performance Engineer, or Quality Engineer within large-scale distributed systems or cloud-native environments.
Performance Engineering Tools: Hands-on expertise building load generators and leveraging industry-standard benchmarking tools (e.g., k6, JMeter, Gatling, Locust) to validate throughput, latency, and concurrency limits across REST/gRPC interfaces.
Programming Languages: Strong coding proficiency in Python, Go (Golang), or Java to build robust test scripts, extend automation harnesses, and interact directly with distributed product APIs.
Engine & Data Knowledge: Practical understanding of modern compute/streaming engine performance attributes (e.g., Spark tuning, Kafka throughput, Flink state backends) and open data lakehouse scale characteristics (e.g., Apache Iceberg).
Observability Stack: Solid experience utilizing observability stacks (Prometheus, Grafana, OpenTelemetry) to actively monitor p95/p99 latencies, analyze system metrics, and isolate memory leaks during soak and endurance runs.
AI Mindset: A proactive inclination towards adopting the latest AI productivity and AI-enabled test automation tools.
Cloudera is the only data and AI platform company that brings AI to data anywhere: in clouds, data centers, and at the edge. Cloudera delivers 100% of data in all forms–whether it is in Cloudera or anywhere in the entire data estate. The world’s largest organizations rely on Cloudera to fuel insights that boost bottom lines, safeguard against threats, and save lives. Learn more at Cloudera.com.
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Recruitment Fraud Alert
It has come to our attention that job seekers have been contacted about fake job opportunities with Cloudera from individuals fraudulently posing as Cloudera employees. These recruiting fraud schemes often include requests for personal information and payments.
Be aware that Cloudera will never request a payment as part of its recruitment process. Additionally, Cloudera will never make a job offer without conducting an interview process. Any information submitted to Cloudera in relation to a job application should only be through our official career portal (https://www.cloudera.com/careers.html). Email communications from Cloudera will come from an email address ending in @cloudera.com.
If you are the target of a recruiting scam, consider filing a report with law enforcement authorities. Cloudera is not responsible for fraudulent job offers and/or any claims, damages, expenses, or other inconvenience connected to recruiting scams.
Offices: 5470 Great America Pkwy, Santa Clara, California 95054, US · 1180 Avenue of the Americas 8th floor, New York, New York 10018, US · 220 Horizon Drive, Suite 117, Raleigh, North Carolina 27615, US · 1420 Spring Hill Road, Suite 600, McLean, Virginia 22102, US · 53 State St, Boston, Massachusetts 02109, US
Big DataCloud Computingmachine learningcloudAnalyticsArtificial IntelligenceDatabasesOpen SourceData ScienceOpen Source
Cloudera is the only data and AI platform company that brings AI to data anywhere: in clouds, data centers, and at the edge. Cloudera delivers 100% of data in all forms–whether it is in Cloudera or anywhere in the entire data estate. The world’s largest organizations rely on Cloudera to fuel insights that boost bottom lines, safeguard against threats, and save lives. Learn more at Cloudera.com.
---------------------------------------------------------------------------------
Recruitment Fraud Alert
It has come to our attention that job seekers have been contacted about fake job opportunities with Cloudera from individuals fraudulently posing as Cloudera employees. These recruiting fraud schemes often include requests for personal information and payments.
Be aware that Cloudera will never request a payment as part of its recruitment process. Additionally, Cloudera will never make a job offer without conducting an interview process. Any information submitted to Cloudera in relation to a job application should only be through our official career portal (https://www.cloudera.com/careers.html). Email communications from Cloudera will come from an email address ending in @cloudera.com.
If you are the target of a recruiting scam, consider filing a report with law enforcement authorities. Cloudera is not responsible for fraudulent job offers and/or any claims, damages, expenses, or other inconvenience connected to recruiting scams.
Offices: 5470 Great America Pkwy, Santa Clara, California 95054, US · 1180 Avenue of the Americas 8th floor, New York, New York 10018, US · 220 Horizon Drive, Suite 117, Raleigh, North Carolina 27615, US · 1420 Spring Hill Road, Suite 600, McLean, Virginia 22102, US · 53 State St, Boston, Massachusetts 02109, US
Big DataCloud Computingmachine learningcloudAnalyticsArtificial IntelligenceDatabasesOpen SourceData ScienceOpen Source