Staff Software Engineer in Test - Anywhere Cloud - Performance and Scale

Posted Yesterday
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Bangalore, Bengaluru Urban, Karnataka, IND
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
Lead architecture and implementation of large-scale automated performance frameworks to validate a distributed multi-cluster control plane. Design baseline and high-concurrency test suites, profile microservice bottlenecks, benchmark storage and Kubernetes scaling, integrate observability, and mentor test engineers while collaborating with platform teams to validate security, API contracts, and cross-cluster resource management.
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.

Job Title: Staff Software Engineer in Test - Anywhere Cloud - Performance and ScaleTeam Overview

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 from performance and resilience point of view. 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 Zero-Trust security models, API-first contracts, and cross-cluster resource management.

Key Responsibilities
  • Test Architecture Leadership: Design, architect, and scale comprehensive automated performance frameworks capable of validating the core control plane, cluster provisioning, and multi-cluster engine deployments under massive load.

  • Baseline: Create baseline test suites for measuring performance from release to release.

  • Data Layer & Metastore Scale Testing: Build high-concurrency test suites for the containerized metadata and storage layers to ensure they meet strict enterprise-grade targets for vast table limits, high operations per second, and concurrent client support with extremely low read latency.

  • Mentorship & Optimization: Profile performance bottlenecks in microservices, analyze underlying infrastructure resource utilization, provide architectural optimization recommendations to engineering teams, and mentor junior and mid-level test engineers on distributed systems performance testing.

  • 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.

Requirements

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

  • Performance Engineering Mastery: Deep expertise in building custom load generators and using industry-standard tools (e.g., JMeter, Gatling, Locust, k6) to validate throughput, latency, and concurrency limits across REST, gRPC, and database connections.

  • Kubernetes & Infrastructure: Deep, hands-on expertise in Kubernetes scaling limits, profiling node/pod resource bottlenecks, evaluating Service Mesh (Istio ambient mode) overhead, and benchmarking storage IOPS (Ceph, S3 object storage).

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

  • Engine & Data SME: Advanced understanding of modern compute/streaming engine performance characteristics (Spark memory tuning, Kafka throughput, Flink state backends) and Lakehouse scale limitations (Apache Iceberg).

  • Observability & Profiling: Advanced knowledge of integrating and utilizing observability stacks (Prometheus, Grafana, OpenTelemetry) to monitor p95/p99 latencies, track resource utilization, and identify memory leaks or CPU bottlenecks during soak tests

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

Skills Required

  • 8+ years SDET, Performance Engineering, or Quality Engineering experience with proven Staff/Lead engineer track record
  • Experience building large-scale performance testing frameworks for distributed cloud-native platforms
  • Deep expertise building custom load generators and using JMeter, Gatling, Locust, k6
  • Validate throughput, latency, and concurrency across REST, gRPC, and database connections
  • Kubernetes scaling and profiling experience, including node/pod resource bottlenecks and Service Mesh (Istio) evaluation
  • Benchmarking storage IOPS and experience with Ceph and S3 object storage
  • Expert-level coding proficiency in Go, Python, or Java to build performance test frameworks and operators
  • Advanced knowledge of Spark, Kafka, Flink performance characteristics and Apache Iceberg lakehouse scale limitations
  • Observability and profiling expertise with Prometheus, Grafana, OpenTelemetry for p95/p99 latency and resource monitoring
  • Experience integrating platform components (Taikun, Cert Manager, DBs, Logging) into testing matrices
  • Ability to profile performance bottlenecks, recommend architectural optimizations, and mentor junior/mid-level test engineers

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.

  • Leave & Time Off Breadth Unplugged Days provide recurring company‑wide extra days off in addition to generous PTO and holidays, creating predictable recharge time. Time away is a prominent part of the package and is consistently emphasized alongside regular leave options.
  • Healthcare Strength Comprehensive medical, dental, and vision coverage is paired with life and disability insurance, an EAP, and wellness programming. Added lifestyle support includes gym reimbursement in the U.S. and health checkups in some locations.
  • Fair & Transparent Compensation The company emphasizes equitable compensation and maintains a Fair Pay Workplace certification. Pay is described as competitive for many technical and go‑to‑market roles, aligning with this stance.

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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