Staff Software Engineer

September 24

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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

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

🎯 Requirements

• 12+ years of experience; experience with performance automation tools such as Locust and JMeter • Programming skills in Python and Golang with a focus on developing performance tooling • Experience with cloud environments (AWS, Azure, GCP) • Experience using profiling tools and APM (Application Performance Management) technologies to resolve performance issues • Knowledge in Observability and Monitoring; experience deploying/managing Prometheus, Grafana, or Elastic Observability • Experience with container technologies like Docker and Kubernetes • Background in managing large-scale distributed systems and understanding of network protocols and security • Strong analytics and ability to work independently • Aim to learn new technologies and methodologies in performance engineering

🏖️ Benefits

• Extra days off to prioritize your well-being • 401(k) Retirement Savings Plan with a 3% company match • Maternity and Parental Leave • Mental health support for you and your family through the Modern Health app • Full health benefits package for you and your family