Senior Software Engineer, Performance

October 9

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Sysdig

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Cybersecurity • Cloud Security • Enterprise

Sysdig is a company that provides cloud and container security solutions. Their platform, Sysdig Secure, is designed to protect cloud-native applications by offering cloud workload protection, vulnerability management, and posture management. Sysdig focuses on real-time cloud security, detecting and responding to threats at cloud speed. The platform is a complete Cloud-Native Application Protection Platform (CNAPP) that prioritizes vulnerabilities, misconfigurations, and threats. Sysdig stands out for its runtime insights, allowing for near real-time alerting and efficient forensic investigations. They offer services across multi-cloud environments with a goal of safeguarding cloud credentials and preventing cyber threats.

201 - 500 employees

Founded 2013

🔒 Cybersecurity

🏢 Enterprise

💰 $350M Series G on 2021-12

📋 Description

• Reporting to the Manager of Engineering, you will develop performance testing frameworks and benchmarks to ensure the scalability and reliability of our systems. • Collaborate with development teams to identify and address performance bottlenecks in software applications and infrastructure. • Build system testing strategies, tools and infrastructure to test the reliability and resilience of Sysdig platform. • Implement custom tooling for automated performance evaluations in CI/CD lifecycle to provide real-time feedback on system performance. • Conduct system performance analysis and provide optimization recommendations to enhance the efficiency of cloud and container environments. • Participate in the architectural design reviews to ensure performance considerations are included in the development of new features.

🎯 Requirements

• 5+ years of experience with performance automation tools such as Locust, Jmeter. • Programming skills in Python/Golang, with a focus on developing performance tooling. • Experience with cloud environments (AWS / Azure / GCP) and experience working with these platforms. • Demonstrated ability in using profiling tools and APM (Application Performance Management) technologies to resolve performance issues. • Knowledge in Observability and Monitoring, including expertise in deploying and managing tools such as Prometheus, Grafana, or Elastic Observability. • Experience with container technologies like Docker and Kubernetes. • Background in managing large-scale distributed systems and an understanding of network protocols and security. • Curious in learning new technologies and methodologies in performance engineering. • Experience building scalable, resilient, and observable distributed systems

🏖️ Benefits

• Extra days off to prioritize your well-being • Mental health support for you and your family through the Modern Health app • Great compensation package