Senior Performance Engineer
Overview
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.
We are a critical, high-impact team providing performance testing and actionable guidance for our company's core Software Composition Analysis (SCA) and Static Application Security Testing (SAST) Java-based Web applications, where customers view and triage results from our analysis products.
If you enjoy the autonomy of being a full-stack performance engineer working on complex technical stacks (distributed systems, microservices, cloud-native) with endless learning opportunities where you will be empowered to dig deep and discover root causes behind any performance issues, you'll feel at home here.
Key Responsibilities:
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Deploy and set up test instances and PostgreSQL databases on-prem on Linux and in the cloud in AWS and GCP leveraging Docker, Kubernetes, and Jenkins and working heavily in the command-line.
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Troubleshoot deployment issues, test issues, and product issues.
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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.
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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 queries.
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File and track product issues in Jira with sufficient details for developers to reproduce and fix the issues.
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Work closely with engineering teams to investigate and mitigate problems found in testing.
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Present key findings and actionable insights and guidance to technical and non-technical audiences in clear and meaningful presentations and other communications.
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Collaborate with a diverse set of distributed stakeholders, building trust, credibility, and positive relationships.
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Write and maintain clear documentation in Confluence.
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Verify performance improvements and fixes.
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Ensure performance does not regress.
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Improve automation so that more time can be spent analyzing measurements rather than just obtaining them.
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Take ownership of tasks, demonstrate initiative, communicate proactively, learn from mistakes, and continuously improve.
Key Requirements:
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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.
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Strong experience with:
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Linux
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Docker and Kubernetes
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GCP and/or AWS
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LoadRunner, JMeter, or other performance testing tools
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Scripting, such as with Bash, Perl, or Python
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Diagnosing bottlenecks in PostgreSQL queries or other relational database queries
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