Performance Engineer 4

Black Duck Software, Inc. helps organizations build secure, high-quality software, minimizing risks while maximizing speed and productivity. Black Duck, a recognized pioneer in application security, provides SAST, SCA, and DAST solutions that enable teams to quickly find and fix vulnerabilities and defects in proprietary code, open source components, and application behavior. With a combination of industry-leading tools, services, and expertise, only Black Duck helps organizations maximize security and quality in DevSecOps and throughout the software development life cycle.

Black Duck Software, Inc. helps organizations build secure, high-quality software, minimizing risks while maximizing speed and productivity. Black Duck, a recognized pioneer in application security, provides SAST, SCA, and DAST solutions that enable teams to quickly find and fix vulnerabilities and defects in proprietary code, open-source components, and application behavior. With a combination of industry-leading tools, services, and expertise, only Black Duck helps organizations maximize security and quality in DevSecOps and throughout the software development life cycle.

Key Responsibilities:

• Deploy and set up test instances and PostgreSQL OR Any databases on-prem on Linux and in the cloud in AWS OR GCP leveraging Docker, Kubernetes, and Jenkins and working heavily in the command-line.

• Troubleshoot deployment issues, test issues, and product issues.

• Develop performance tests using tools such as LoadRunner, DevWeb (JavaScript), Apache Benchmark (ab), and Cypress, and custom tools and scripts written in Python, Perl, Bash, and SQL.

• Monitor, analyze, and use whatever it takes to diagnose issues and bottlenecks and gain insights, including but not limited to: test results, Jenkins logs, application logs, PostgreSQL logs, Docker, Kubernetes , NetData, Prometheus, Grafana, New Relic, Datadog, AWS or GCP cloud monitoring, RabbitMQ, custom PostgreSQL OR DBA queries.

• File and track product issues in Jira with sufficient details for developers to reproduce and fix the issues.

• Work closely with engineering teams to investigate and mitigate problems found in testing.

• Improve automation so that more time can be spent analyzing measurements rather than just obtaining them.

• Take ownership of tasks, demonstrate initiative, communicate proactively, learn from mistakes, and continuously improve.

Key Requirements (Must):

• Enjoy performance engineering, are good at it, and have 8+ years of dedicated experience doing it, preferably with complex, containerized, distributed products in the cloud.

• Strong experience with:

o Linux

o Docker and Kubernetes

o GCP and/or AWS

o LoadRunner, JMeter, or other performance testing tools

o Scripting, such as with Bash, Perl, or Python

o Diagnosing bottlenecks in PostgreSQL queries or other relational database queries

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