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:

• 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.

• 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 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.

• Present key findings and actionable insights and guidance to technical and non-technical audiences in clear and meaningful presentations and other communications.

• Collaborate with a diverse set of distributed stakeholders, building trust, credibility, and positive relationships.

• Write and maintain clear documentation in Confluence.

• Verify performance improvements and fixes.

• Ensure performance does not regress.

• 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:

• 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:

  • Linux

  • Docker and Kubernetes

  • GCP and/or AWS

  • LoadRunner, JMeter, or other performance testing tools

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

  • Diagnosing bottlenecks in PostgreSQL queries or other relational database queries

  • Performance monitoring tools such as New Relic, Prometheus, Grafana, or Datadog

• Are comfortable with ambiguity and venturing into the unknown and accept that failure is part of the job because we’re always pushing our products to discover their limits.

• Strong analytical skills with ability to question and find deep meaning in data.

• Prefer ownership and growth over handholding and stagnation.

• Passionate about learning and growing and committed to delivering high-quality work.

• Able to persevere through challenges and unblock self through research, experimentation, and critical thinking.

• Value simplification, reusability, knowledge sharing, and standardization over ad hoc heroics.

Nice to have: 

• Java Web applications that use RabbitMQ
• Apache Benchmark (ab)
• Cypress
• Jenkins
• DevWeb (JavaScript)

If you enjoy the types of challenges that this position encompasses, you will thrive here!