Logo for InfraCloud Technologies

Senior Spark QA Engineer

Role overview

Qualifications

  • 5+ years QA/testing experience with strong hands-on expertise in Apache Spark
  • Experience in functional and performance testing of distributed systems
  • Strong understanding of Spark architecture and optimization techniques
  • Experience with Kubernetes and cloud-based Spark environments

Responsibilities

  • Perform manual and automated testing of Spark jobs, Spark SQL queries, and ETL pipelines
  • Execute functional, scalability, and performance testing for Spark workloads
  • Set up and manage Spark clusters on Standalone, YARN, Kubernetes, Mesos, Databricks, EMR, and Dataproc
  • Identify bottlenecks and troubleshoot distributed system issues

About the company

InfraCloud Technologies logo

InfraCloud Technologies

Cloud Computing & Infrastructure (IaaS/PaaS)

We unleash growth by helping companies adopt cloud native technologies with our products and services! InfraCloud Technologies is a Kubernetes focused B2B Open Source Cloud Native Computing company which has been building products, services, and solutions to modernize applications and infrastructure. InfraCloud was one of the first Kubernetes partners and have been contributing to the open source community around cloud-native technologies. It has been growing almost 100% for last few years consistently. We are organizers of local chapters of Serverless & Kubernetes Meetup and are actively involved in building a community for new technologies in Cloud & DevOps space.

Company details

Company typeScaleup
IndustryCloud Computing & Infrastructure (IaaS/PaaS)
Company size201 - 500

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

Senior Spark QA Engineer – Functional & Performance Testing

Location: RemoteExperience: 5+ Years 

Job Description - We are looking for a Senior Spark QA Engineer with strong expertise in functional and performance testing of Apache Spark applications and distributed data platforms.

Key Responsibilities -
  • Perform manual and automated testing of Spark jobs, Spark SQL queries, and ETL pipelines.
  • Execute functional, scalability, and performance testing for Spark workloads.
  • Set up and manage Spark clusters on Standalone, YARN, Kubernetes, Mesos, Databricks, EMR, and Dataproc.
  • Conduct benchmarking, validation, and performance analysis of Spark applications.
  • Identify bottlenecks and troubleshoot distributed system issues.
  • Lead QA initiatives and mentor team members.
Required Skills - 
  • 5+ years of QA/testing experience with strong hands-on expertise in Apache Spark.
  • Experience in functional and performance testing of distributed systems.
  • Strong understanding of Spark architecture and optimization techniques.
  • Experience with Kubernetes and cloud-based Spark environments.
  • Proficiency in Python or Java.
  • Experience with automation frameworks and CI/CD pipelines.

Apply once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
Unlocked after you apply
·

QA Engineer Related jobs

Premium

Reach out to the hiring manager directly.

Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

  • Full match report with fit score and gaps
  • Career diagnostics on how recruiters read you
  • Curated company matches and warm intros
  • 48h early access to new roles

Cancel anytime.