Job Description

Today’s world is crime-riddled. Criminals are everywhere, invisible, virtual and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough…

Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.

For nearly 30 years, the incredible minds at Cognyte around the world have worked closely together and put their expertise to work, to keep up with constantly evolving technological and criminal trends, and help make the world a safer place with leading investigative analytics software solutions.

We are defined by our dedication to doing good and this translates to business success, meaningful work friendships, a can-do attitude, and deep curiosity.

We are looking a detail-oriented and proactive Junior QA Engineer to join our team. The ideal candidate will play a critical role in ensuring the quality and reliability of our software products by thoroughly analyzing customer requirements, creating and executing test plans, and identifying issues throughout the development lifecycle. This role involves close collaboration with cross-functional teams, including architects, developers, and customer representatives, to ensure that quality standards are met at every stage of the project.

If you want to apply your expertise and well-honed skills in system performance and:

· are driven by curiosity,

· thrive on solving the most complex security challenges, and

· want a unique opportunity to grow and contribute

· in an exciting and rewarding environment

Then we want to meet you

About the Role

We are seeking a Junior Performance Engineer (3–6 years’ experience) to join our Performance team. In this role, you will contribute to the design, development, and maintenance of performance scripts and tools, CI/CD pipelines, and performance/observability solutions to ensure reliable and scalable software delivery. You will work closely with senior engineers, development and product teams, while growing your skills in performance engineering and automation-first practices.

Requirements

Key Responsibilities

• Develop, enhance, and maintain automation scripts and in-house tooling under guidance from senior engineers. • Contribute to building and maintaining CI/CD pipelines with integrated automated testing and basic performance checks. • Assist in creating and maintaining observability dashboards and monitoring solutions. • Execute performance and load tests, analyze results, and support identification of system

bottlenecks. • Support troubleshooting of performance issues related to CPU, memory, databases, cache, and network. • Collaborate with cross-functional teams to improve test coverage, reliability, and performance awareness. • Adopt and follow automation and performance best practices defined by the team.

Mandatory Skills / Experience

1. Good scripting or programming skills in one or more languages (Python, Bash, Go, or similar).

2. Hands-on experience with automation frameworks or tools (test automation, developer tools, or CI/CD).

3. Working knowledge of CI/CD tools (Jenkins, GitHub Actions, GitLab, etc.).

4. Hands-on experience with performance/load testing tools (JMeter, k6, Locust, or equivalent).

5. Basic to intermediate experience with observability/monitoring tools (Grafana, Prometheus, Datadog).

6. Fundamental understanding of system performance concepts (CPU, memory, DB, cache, network).

7. Working knowledge of containerization technologies (Docker; basic Kubernetes exposure is a plus).

8. Experience using version control systems (Git, GitHub/GitLab).

Advantage Skills

1. Exposure to cloud platforms (AWS, GCP, or Azure).

2. Awareness of shift-left testing, performance testing fundamentals, or automation best practices.

3. Basic understanding of distributed systems and performance considerations.

4. Exposure to DevOps or agile development environments.

5. Interest in learning advanced performance engineering and observability techniques.

Personal Attributes

• Curiosity and willingness to learn performance and automation concepts in depth. • Good communication and collaboration skills when working with cross-functional teams. • Analytical and problem-solving mindset. • Quality-focused attitude, with an interest in improving system reliability and user experience.