Cloudera, Inc. logo

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

Job Overview

Location

India-Bangalore

Job Type

Full-time

Category

Software Engineering

Date Posted

July 10, 2026

Full Job Description

đź“‹ Description

  • • 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.
  • • 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

  • • 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.
  • • 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.
  • • 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).
  • • Expert-level coding proficiency in Go (Golang), Python, or Java to build robust performance test frameworks and custom Kubernetes operators for stress testing.
  • • Advanced understanding of modern compute/streaming engine performance characteristics (Spark memory tuning, Kafka throughput, Flink state backends) and Lakehouse scale limitations (Apache Iceberg).
  • • 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.

🏖️ Benefits

  • • 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

Skills & Technologies

Python
Java
Go
Node.js
Kubernetes
Senior
Hybrid
Degree Required

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About Cloudera, Inc.

Cloudera, Inc. provides an enterprise data cloud platform for analytics and machine learning. Its software combines data engineering, data warehousing, and AI workloads on hybrid and multi-cloud environments. Built around open-source technologies like Apache Hadoop, Spark, and Kafka, it offers unified security, governance, and metadata management. Customers use Cloudera Data Platform to ingest, store, analyze, and model large-scale data for business intelligence and real-time insights. The company serves financial services, healthcare, telecommunications, and public sector organizations worldwide.

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