DevOps Tools Engineer | Java, Python, Kubernetes

Redolent Infotech Pvt. Ltd.

Sunnyvale (CA)

On-site

USD 140,000 - 170,000

Full time

12 days ago

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Job summary

Redolent Infotech Pvt. Ltd. in Sunnyvale, CA is seeking a DevOps Tools Engineer with strong Java, Python and Kubernetes skills to build and operate performance-focused tooling. You will work within a DevOps environment, partnering with engineers to optimize systems and reliability.

The role emphasizes hands-on testing, performance tuning, and collaboration across teams to deliver robust tooling for performance and scalability.

Qualifications

  • 5+ years of software development experience.
  • Java development experience.
  • Hands-on software development using Java, Python and Kubernetes.
  • Self-starter attitude to explore new technologies and performance issues.
  • Experience with DevOps and CI tools, including Jenkins.
  • Strong experience with Java and related web technologies.
  • Java/SQL performance tuning (GC, heap, JVM, explain plan).
  • Ability to collaborate with architects, developers, and DBAs.
  • Exposure to Apache, Tomcat, VmWare and OpenStack is a plus.

Responsibilities

  • Work with engineers to run performance tests and report results.
  • Use performance tools like LoadRunner and JMeter.
  • Identify and investigate site performance issues proactively.
  • Present findings to stakeholders with varying technical levels.
  • Stay current with technology trends and apply to performance problems.
  • Collaborate with teams across the organization.

Skills

Java
Python
Kubernetes
Performance tuning
JVM tuning
CI/CD
Web technologies

Tools

Jenkins
LoadRunner
JMeter
Apache
Tomcat
VmWare
OpenStack

Job description

Redolent Infotech Pvt. Ltd. in Sunnyvale, CA is seeking a DevOps Tools Engineer with strong Java, Python and Kubernetes skills to build and operate performance-focused tooling. You will work within a DevOps environment, partnering with engineers to optimize systems and reliability.

The role emphasizes hands-on testing, performance tuning, and collaboration across teams to deliver robust tooling for performance and scalability.

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