Performance Engineer / Performance Analyst

IBM

5 - 10 years

6 - 10 Lacs

bengaluru

Posted:1 day ago| Platform:

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Skills Required

ansible docker java bash linux system kubernetes continuous integration github performance testing openshift ci/cd elastic search ibm db2 git selenium postgresql linux jenkins rancher shell scripting kibana performance analysis agile methodology

Work Mode

Work from Office

Job Type

Full Time

Job Description

Your role and responsibilities

Ansible
Java
Kubernetes, Docker
Elasticsearch
CI/CD pipelines
Analyze performance data to identify bottlenecks, provide actionable insights and guide development teams on improvements.
Collaborate with global teams to improve system performance across the software stack.
Develop and prototype proof-of-concept solutions to improve performance and drive innovation.
Engage in Level 3 customer support for performance troubleshooting and analysis.
Document work and contribute to internal knowledge sharing.

Required education

Bachelor's Degree

Preferred education

Master's Degree

Required technical and professional expertise

Bachelor's degree in Information Technology, Computer Science, Computer Engineering, or equivalent.
5+ years of experience in Performance QA
Strong analytical thinking and problem-solving skills for complex, multi-tiered software systems.
Independent way of working, being able to quickly and autonomously gather necessary knowledge to complete challenging tasks on time.
Java
Linux systems
CI/CD tools
Kubernetes
Elasticsearch
Basic understanding of Agile methodologies.
Good communication and documentation skills.

Preferred technical and professional experience

Master€™s degree in a relevant technical field.
Experience in performance testing and performance analysis of enterprise applications and systems.
Java
Familiarity with networking concepts and the OSI model.
Kubernetes
Familiarity with Git or similar version control systems and workflows.
Interest in DevOps practices, automation, and infrastructure as code.
Experience with monitoring tools or basic system troubleshooting.
Participation in open-source or university DevOps projects.

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